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ASAP PLEASE NEED IT ABOUT 1-2 HOURS
FOLLOW THE INSTRUCTIONS…..
STATS ASSIGNMENTs NEED done by 3:30! Short assignments 20 mins each dont have time to do them. 4 ASSIGNMENTS TOTAL!! please offer ASAP!!! 1st LAB no longer needed…. Must have knowledge of stat crunch!!!
Name_______________________________
Lab #1: Intro to StatCrunch-Graphs and Descriptive Statistics
STAT 202 Miller
Thursday August 30, 2012
Please review the file under “A Brief Guide to StatCrunch and Lab Submissions” (posted on Blackboard) while completing this lab. You will use StatCrunch to answer the following questions.
Your lab should be submitted as a Word document. Please copy and paste any graphs that you create into your lab document. Any responses must be easy to read and labeled with the appropriate problem number. Please save your solutions to your g:/ drive (or your own computer) and submit the lab via Blackboard.
Background
: A common psychological experiment tests numerical memory-a subjects ability to repeat back a string of numbers. For this particular experiment two trials were conducted with each of 52 subjects; number strings were delivered both verbally and visually. The data was collected from 4 universities and online between July 2010 and December 2010. Along with detailed information pertaining to the experiment (such as the place, date and time of the experiment, and type of delivery), the experimenters collected information about the subject (age and gender) and recorded the longest number of digits that the subject was able to repeat back to them (Limit #).
1. Begin by loading the data into StatCrunch. Use the data file that I have provided (numericalmemory.txt) and follow the directions provided in “Intro to StatCrunch and Labs.”
Make sure that you select “comma” as your delimiter.
Once the file is loaded save your data to your G drive so that you will be able to access it again in the future.
2. Classify the variables “Affiliation”, “Gender”, “Age”, “Trial Num”, and “Limit#” as categorical or quantitative.
3. To get an idea of where the subjects were tested make a pie chart for “Affiliation.” (Graphics-Pie Chart-with data, Select the “Affiliation” column and click next to look at other options and give the graph a title before clicking “Create Graph!”.)
4. To take a look at the distribution of the genders of the subjects tested make a frequency table (Stat-Tables-Frequency) and bar graph (Graphics-Bar Plot-with data) for the ”Gender” data. Note that each subject is listed twice so the frequencies listed are twice as large as the true values but the relative frequencies are accurate.
5. Make a stem plot of the “Age” data (Graphics-Stem and Leaf). Describe the overall pattern of the distribution of “Age.”
6. Now make two histograms (with different bin (interval) widths) of the “Limit#” data (Graphics-Histogram). You can designate a starting point and bin width or StatCrunch will automatically select these for you. After selecting the “Limit#” column click “next” to set your options.
7. How does the bin width affect the shape (skew, symmetry, etc.) of the distribution?
8. Make a box plot for the “Limit#” data (Graphics-Boxplot). You have the option to orient the plot vertically or horizontally: Click on “Next” when in the Boxplot menu and select (or do not choose to select) “Draw boxes horizontally.”
9. Find the mean, standard deviation, variance, median, and quartiles for the Limit# data (Stat-summary stats-column stats). Select the “Limit#” column and then click “next.” Click on the summary stats name to deselect it. Copy and paste your results.
10. Based on all of your graphs and calculations for the “Limit#” data, what can you conclude about the overall pattern/shape of the distribution of “Limit#”? Is it symmetric, skewed or neither? (I suggest comparing the two measures of center as well as using your calculations of spread and how they relate to the center to support your final conclusion here.)
11. Now I want you to look at the distributions for “Limit#” separately for the Males and for the Females (using the default binwidth). To do this choose to Group by “Gender” (there is a pull-down menu on the first screen) and check the box next to “Separate Graph for Each Group.” Compare the two distributions.
STAT 202 Thursday September 13, 2012 Miller Name______________________________
Lab 3: Scatter Plots
Please submit your completed lab on Blackboard.
Part 1: More with Assessing Normality
Billionaires (data file is on Blackboard-Data-billionaires.txt)
With the usual definition of normal, being a billionaire is not at all normal. If we examine the (relatively) small subset of the world’s population, which includes the world’s billionaires from 1992, some of the demographics may have some Normality to them. Here you will examine the distributions for these demographics. Fortune magazine reported the following demographics for the billionaires: wealth (in billions), age (*=unknown), the region where they are from (Asia, Europe, Middle East, United States, or Other).
1. Begin by examining the distribution of each variable. Give a brief description of the overall pattern of each distribution below (For quantitative variables you need to discuss shape, center, and spread. For categorical variables you need to discuss percentages.)
· Wealth-
· Age-
· Region-
2. To get a complete look of how well the distribution of the billionaires’ ages fit with the standard normal distribution look at the Normal quantile plot (Graphics-QQ plot). Include the plot below.
3. What conclusions can you make about the distribution of the billionaires’ ages based on the plot in #2 and why? Keep in mind that the horizontal axis corresponds to Z.
4. Also, how do your conclusions relate to what we have discussed about the correlation, r? Please include an estimation of what type of value you think that r would have.
5. There are three very obvious outliers that do not fit with the pattern that the rest of the data follows. Identify the ages of the outliers. Explain why they appear as outliers in the quantile plot by looking back at the distribution of ages. Also explain why, logically, it makes sense for these individuals to be outliers.
Part 2-More with Scatter Plots
(data file is on Blackboard: fuel oil-Bahrain)
The given data was reported by the UN Statistics Division as part of the JODI (Joint Oil Data Initiative-
http://www.jodidata.org/WJODI.shtm
). JODI was formed in 2003 with “the objective of improving the quality and transparency of international oil statistics.” Basically, most of the world felt that it was fair to be able to see data that supports the frequent fluctuations in oil prices. Over 90 countries now contribute data. This data set shows the available information about the amount of fuel oil that Bahrain exported (“Export”) and the amount of refined fuel oil Bahrain produced (“Refinery Output”) over several years. Both are measured in thousand metric tons.
6. I want you to examine the relationship between “Export” and “Refinery Output.” Treat “Refinery Output” as the explanatory variable. Display the data together with a scatterplot.
7. Find the value of the correlation between “Export” and “Refinery Output.”
8. What conclusions can you make based on your scatterplot and calculated correlation value? Please be very specific and include both a statistical interpretation and a practical interpretation.
9. There is an outlier in your data set. It is the data value for July 2007 when the Refinery Output was 141,000 metric tons and the Export was 253,000 metric tons. What happens to the correlation value when this point is removed? Do you notice any changes in the pattern of the scatterplot?
STAT 202 Miller Name___________________________
Lab 10
-Additional Significance Tests
November 29, 2012
T Tests/Confidence Intervals Using StatCrunch
Some of the following questions utilize various types of t tests.
You have already used a lot of these features. Remember that all tests are under STATT Statistics.
Paired T test: Use for Related/matched sample test when the original data is given.
T test-One Sample: Use for a regular one sample test or for related/matched samples when the differences/changes are given.
T test-Two Samples: Use for two independent samples. Make sure that you uncheck the box that says, “Pool Variances.”
-From the menu select the appropriate test. (Recall that “With data” is used when the data is entered into a column. “With summary” is used when you are given the necessary summary statistic/parameter values.)
-Select “Next” to choose a significance test OR confidence interval. Enter all necessary information and select “Calculate”.
-StatCrunch will display the standard error (sampling error), degrees of freedom, the test statistic (t), the P-value for the test statistic and the lower and upper limits for a confidence interval.
————————————————————————————————————————————-
For problems 1 & 2:
a)
Determine how many samples you are looking at (1 or 2). If there are two samples decide what type of samples (related or independent) you are looking at.
b) State your hypotheses (the null hypothesis and the alternative hypothesis).
c)
Decide which test statistic you are going to use depending on your answers to a) and b). Find its value and the p-value. Please use StatCrunch to do this and copy and paste your results.
d)
State a conclusion based on your answers to a)-c) and the significance level α=.05. (This must contain an explanation supported by your decision to reject or accept H0 and a discussion of the statistical significance of your findings.)
e)
Calculate the 95 % confidence interval. Please use StatCrunch to do this and copy and paste your results.
1. Researchers are interested in looking at the heights of professional football players compared to professional basketball players. They suspect that basketball players are generally taller than football players. The researchers measured the heights of a random sample of 45 professional football players and a random sample of 40 basketball players. The data is on Blackboard.
a)
b)
H0:
Ha:
c)
d)
e)
3. A political group was interested in if there was a difference between the mean percentage of republican voters and democratic voters in the Midwest. To look at this they used the 17 counties in Indiana as their samples (gathering data from various polling locations) and looked at the mean percentage of Democrat voters and the mean percentage of Republican voters in each county in a recent election. This data is on Blackboard.
a)
b) H0:
Ha:
c)
d)
e)
Z tests/Confidence Intervals for Proportions Using StatCrunch
Some problems will require you to use significance tests for proportions. Select the appropriate test by going to
STAT->Proportions (One Sample or Two Sample).
-“With Data” means that you have the actual data values entered into a column in StatCrunch. This is categorical data so each data value will be one of the given categories. (StatCrunch will automatically determine the sample proportion(s), sample size(s) and standard error. )
-“With Summary” means that you are given the number of successes (X) or sample proportions and the sample size(s).
-Click “Next” to either enter the correct hypotheses or to calculate a confidence interval.
For a test based on one sample
, enter the appropriate population proportion you are comparing the sample against. Then select the appropriate alternative hypothesis.
Two sample tests
only require that you choose the correct alternative hypothesis.
For a confidence interval
, select the level and just use the “Standard” method.
-When you click “Calculate” the test statistic value and its P-value are reported and a confidence interval is reported by a lower and upper limit.
———————————————————————————————————————————————————————–
3. Gallup poll results released on November 29, 2012:
“Democrats, Republicans Diverge on Capitalism, Federal Gov’t
Little difference on small business, free enterprise, entrepreneurs”
(http://www.gallup.com/poll/158978/democrats-republicans-diverge-capitalism-federal-gov.aspx)
Gallup collected information to see how Republicans and Democrats feel about various terms commonly associated with politics. The data for “Capitalism” is on Blackboard. Please note that “1” indicates a “Positive” view and “0” represents a “Negative” view.
Does the data support the poll’s headline (specifically the part about capitalism)? Please use a hypothesis test and include a discussion of statistical significance. You need to include your StatCrunch results below as well.
H0:
Ha:
4. Reported by Gallup on June 22, 2012
Headline: “Majority of Egyptians Want Military Out of Politics”
Is the headline supported by the given poll results? You will want to look at the original article to get all of the necessary details (
http://www.gallup.com/poll/155303/Majority-Egyptians-Military-Politics.aspx
). Please use a hypothesis test and include a discussion of statistical significance. You need to include your StatCrunch results below as well.
H0:
Ha:
STAT 202 Miller Name___________________________
Lab 10
-Additional Significance Tests
November 29, 2012
T Tests/Confidence Intervals Using StatCrunch
Some of the following questions utilize various types of t tests.
You have already used a lot of these features. Remember that all tests are under STATT Statistics.
Paired T test: Use for Related/matched sample test when the original data is given.
T test-One Sample: Use for a regular one sample test or for related/matched samples when the differences/changes are given.
T test-Two Samples: Use for two independent samples. Make sure that you uncheck the box that says, “Pool Variances.”
-From the menu select the appropriate test. (Recall that “With data” is used when the data is entered into a column. “With summary” is used when you are given the necessary summary statistic/parameter values.)
-Select “Next” to choose a significance test OR confidence interval. Enter all necessary information and select “Calculate”.
-StatCrunch will display the standard error (sampling error), degrees of freedom, the test statistic (t), the P-value for the test statistic and the lower and upper limits for a confidence interval.
————————————————————————————————————————————-
For problems 1 & 2:
a)
Determine how many samples you are looking at (1 or 2). If there are two samples decide what type of samples (related or independent) you are looking at.
b) State your hypotheses (the null hypothesis and the alternative hypothesis).
c)
Decide which test statistic you are going to use depending on your answers to a) and b). Find its value and the p-value. Please use StatCrunch to do this and copy and paste your results.
d)
State a conclusion based on your answers to a)-c) and the significance level α=.05. (This must contain an explanation supported by your decision to reject or accept H0 and a discussion of the statistical significance of your findings.)
e)
Calculate the 95 % confidence interval. Please use StatCrunch to do this and copy and paste your results.
1. Researchers are interested in looking at the heights of professional football players compared to professional basketball players. They suspect that basketball players are generally taller than football players. The researchers measured the heights of a random sample of 45 professional football players and a random sample of 40 basketball players. The data is on Blackboard.
a)
b)
H0:
Ha:
c)
d)
e)
3. A political group was interested in if there was a difference between the mean percentage of republican voters and democratic voters in the Midwest. To look at this they used the 17 counties in Indiana as their samples (gathering data from various polling locations) and looked at the mean percentage of Democrat voters and the mean percentage of Republican voters in each county in a recent election. This data is on Blackboard.
a)
b) H0:
Ha:
c)
d)
e)
Z tests/Confidence Intervals for Proportions Using StatCrunch
Some problems will require you to use significance tests for proportions. Select the appropriate test by going to
STAT->Proportions (One Sample or Two Sample).
-“With Data” means that you have the actual data values entered into a column in StatCrunch. This is categorical data so each data value will be one of the given categories. (StatCrunch will automatically determine the sample proportion(s), sample size(s) and standard error. )
-“With Summary” means that you are given the number of successes (X) or sample proportions and the sample size(s).
-Click “Next” to either enter the correct hypotheses or to calculate a confidence interval.
For a test based on one sample
, enter the appropriate population proportion you are comparing the sample against. Then select the appropriate alternative hypothesis.
Two sample tests
only require that you choose the correct alternative hypothesis.
For a confidence interval
, select the level and just use the “Standard” method.
-When you click “Calculate” the test statistic value and its P-value are reported and a confidence interval is reported by a lower and upper limit.
———————————————————————————————————————————————————————–
3. Gallup poll results released on November 29, 2012:
“Democrats, Republicans Diverge on Capitalism, Federal Gov’t
Little difference on small business, free enterprise, entrepreneurs”
(http://www.gallup.com/poll/158978/democrats-republicans-diverge-capitalism-federal-gov.aspx)
Gallup collected information to see how Republicans and Democrats feel about various terms commonly associated with politics. The data for “Capitalism” is on Blackboard. Please note that “1” indicates a “Positive” view and “0” represents a “Negative” view.
Does the data support the poll’s headline (specifically the part about capitalism)? Please use a hypothesis test and include a discussion of statistical significance. You need to include your StatCrunch results below as well.
H0:
Ha:
4. Reported by Gallup on June 22, 2012
Headline: “Majority of Egyptians Want Military Out of Politics”
Is the headline supported by the given poll results? You will want to look at the original article to get all of the necessary details (
http://www.gallup.com/poll/155303/Majority-Egyptians-Military-Politics.aspx
). Please use a hypothesis test and include a discussion of statistical significance. You need to include your StatCrunch results below as well.
H0:
Ha:
STAT 202 Miller Name___________________________
Lab 10
-Additional Significance Tests
November 29, 2012
T Tests/Confidence Intervals Using StatCrunch
Some of the following questions utilize various types of t tests.
You have already used a lot of these features. Remember that all tests are under STATT Statistics.
Paired T test: Use for Related/matched sample test when the original data is given.
T test-One Sample: Use for a regular one sample test or for related/matched samples when the differences/changes are given.
T test-Two Samples: Use for two independent samples. Make sure that you uncheck the box that says, “Pool Variances.”
-From the menu select the appropriate test. (Recall that “With data” is used when the data is entered into a column. “With summary” is used when you are given the necessary summary statistic/parameter values.)
-Select “Next” to choose a significance test OR confidence interval. Enter all necessary information and select “Calculate”.
-StatCrunch will display the standard error (sampling error), degrees of freedom, the test statistic (t), the P-value for the test statistic and the lower and upper limits for a confidence interval.
————————————————————————————————————————————-
For problems 1 & 2:
a)
Determine how many samples you are looking at (1 or 2). If there are two samples decide what type of samples (related or independent) you are looking at.
b) State your hypotheses (the null hypothesis and the alternative hypothesis).
c)
Decide which test statistic you are going to use depending on your answers to a) and b). Find its value and the p-value. Please use StatCrunch to do this and copy and paste your results.
d)
State a conclusion based on your answers to a)-c) and the significance level α=.05. (This must contain an explanation supported by your decision to reject or accept H0 and a discussion of the statistical significance of your findings.)
e)
Calculate the 95 % confidence interval. Please use StatCrunch to do this and copy and paste your results.
1. Researchers are interested in looking at the heights of professional football players compared to professional basketball players. They suspect that basketball players are generally taller than football players. The researchers measured the heights of a random sample of 45 professional football players and a random sample of 40 basketball players. The data is on Blackboard.
a)
b)
H0:
Ha:
c)
d)
e)
3. A political group was interested in if there was a difference between the mean percentage of republican voters and democratic voters in the Midwest. To look at this they used the 17 counties in Indiana as their samples (gathering data from various polling locations) and looked at the mean percentage of Democrat voters and the mean percentage of Republican voters in each county in a recent election. This data is on Blackboard.
a)
b) H0:
Ha:
c)
d)
e)
Z tests/Confidence Intervals for Proportions Using StatCrunch
Some problems will require you to use significance tests for proportions. Select the appropriate test by going to
STAT->Proportions (One Sample or Two Sample).
-“With Data” means that you have the actual data values entered into a column in StatCrunch. This is categorical data so each data value will be one of the given categories. (StatCrunch will automatically determine the sample proportion(s), sample size(s) and standard error. )
-“With Summary” means that you are given the number of successes (X) or sample proportions and the sample size(s).
-Click “Next” to either enter the correct hypotheses or to calculate a confidence interval.
For a test based on one sample
, enter the appropriate population proportion you are comparing the sample against. Then select the appropriate alternative hypothesis.
Two sample tests
only require that you choose the correct alternative hypothesis.
For a confidence interval
, select the level and just use the “Standard” method.
-When you click “Calculate” the test statistic value and its P-value are reported and a confidence interval is reported by a lower and upper limit.
———————————————————————————————————————————————————————–
3. Gallup poll results released on November 29, 2012:
“Democrats, Republicans Diverge on Capitalism, Federal Gov’t
Little difference on small business, free enterprise, entrepreneurs”
(http://www.gallup.com/poll/158978/democrats-republicans-diverge-capitalism-federal-gov.aspx)
Gallup collected information to see how Republicans and Democrats feel about various terms commonly associated with politics. The data for “Capitalism” is on Blackboard. Please note that “1” indicates a “Positive” view and “0” represents a “Negative” view.
Does the data support the poll’s headline (specifically the part about capitalism)? Please use a hypothesis test and include a discussion of statistical significance. You need to include your StatCrunch results below as well.
H0:
Ha:
4. Reported by Gallup on June 22, 2012
Headline: “Majority of Egyptians Want Military Out of Politics”
Is the headline supported by the given poll results? You will want to look at the original article to get all of the necessary details (
http://www.gallup.com/poll/155303/Majority-Egyptians-Military-Politics.aspx
). Please use a hypothesis test and include a discussion of statistical significance. You need to include your StatCrunch results below as well.
H0:
Ha:
Sheet1
| Date | Export | Refinery Output | |||||
| Jan-04 | 283.92 | 246 | |||||
| Feb-04 | 241.7 | 237 | |||||
| Mar-04 | 142.66 | 249.35 | |||||
| Apr-04 | 331.02 | 237.72 | |||||
| May-04 | 197 | 269 | |||||
| Jun-04 | 210.95 | 285.3 | |||||
| Jul-04 | 256.03 | 227.27 | |||||
| Aug-04 | 268 | 226 | |||||
| Sep-04 | 114.05 | 129.92 | |||||
| Oct-04 | 203.37 | 226.18 | |||||
| Nov-04 | 165.71 | 220.87 | |||||
| Dec-04 | 308.34 | 235.21 | |||||
| Jan-05 | 270 | 230 | |||||
| Feb-05 | 137 | 232 | |||||
| Mar-05 | 309 | 250 | |||||
| Apr-05 | 184 | 248 | |||||
| May-05 | 322 | ||||||
| Jun-05 | 199 | 240 | |||||
| Jul-05 | |||||||
| Aug-05 | 255 | ||||||
| Sep-05 | 236 | ||||||
| Oct-05 | 287 | 254 | |||||
| Nov-05 | 320 | 261 | |||||
| Dec-05 | 313 | 277 | |||||
| Jan-06 | 229 | ||||||
| Feb-06 | 216 | 258 | |||||
| Mar-06 | 217 | 260 | |||||
| Apr-06 | 316 | ||||||
| May-06 | 215 | ||||||
| Jun-06 | 200 | 231 | |||||
| Jul-06 | |||||||
| Aug-06 | 234 | ||||||
| Sep-06 | 291 | 219 | |||||
| Oct-06 | |||||||
| Nov-06 | 192 | ||||||
| Dec-06 | 275 | ||||||
| Jan-07 | 181 | ||||||
| Feb-07 | 176 | 146 | |||||
| Mar-07 | 149 | 238 | |||||
| Apr-07 | 253 | ||||||
| May-07 | 266 | ||||||
| Jun-07 | 196 | 222 | |||||
| Jul-07 | 141 | ||||||
| Aug-07 | |||||||
| Sep-07 | |||||||
| Oct-07 | 112 | 194 | |||||
| Nov-07 | 191 | ||||||
| Dec-07 | 187 | ||||||
| Jan-08 | |||||||
| Feb-08 | 157 | 174 | |||||
| Mar-08 | |||||||
| Apr-08 | 160 | 208 | |||||
| May-08 | 263 | ||||||
| Jun-08 | 195 | ||||||
| Jul-08 | 113 | 177 | |||||
| Aug-08 | |||||||
| Sep-08 | 179 | 201 | |||||
| Oct-08 | 172 | 153 | |||||
| Nov-08 | |||||||
| Dec-08 | |||||||
| Jan-09 | |||||||
| Feb-09 | 182 | ||||||
| Mar-09 | 183 | ||||||
| Apr-09 | 193 | ||||||
| May-09 | 158 | 189 | |||||
| Jun-09 | 204 | ||||||
| Jul-09 | 228 | ||||||
| Aug-09 | |||||||
| Sep-09 | |||||||
| Oct-09 | 165.2 | 196.7 | |||||
| Nov-09 | 101 | ||||||
| Dec-09 | 210.597 | 204.42 | |||||
| Jan-10 | 236.584 | 253.788 |
Sheet2
Sheet3
wealth age region
37 50 M
24 88 U
14 64 A
13 63 U
13 66 U
11.7 72 E
10 71 M
8.2 77 U
8.1 68 U
7.2 66 E
7 69 M
6.2 36 O
5.9 49 U
5.3 73 U
5.2 52 E
5 77 M
5 73 M
4.9 62 A
4.8 54 U
4.7 63 U
4.7 23 U
4.6 70 O
4.6 59 E
4.5 96 E
4.5 84 O
4.5 40 E
4.3 60 U
4 77 E
4 68 E
4 83 E
4 68 A
4 40 E
4 62 M
4 69 E
4 49 A
3.9 64 A
3.9 83 A
3.8 41 A
3.8 78 A
3.6 80 A
3.5 68 O
3.4 67 U
3.4 71 O
3.4 54 A
3.3 62 E
3.3 69 A
3.3 58 U
3.2 71 U
3.2 55 O
3 66 E
3 65 E
3 50 U
3 64 E
3 57 A
3 86 M
3 71 E
3 68 E
3 68 E
3 54 U
2.8 68 A
2.8 76 E
2.8 52 E
2.8 73 O
2.8 46 O
2.7 69 U
2.7 63 E
2.6 42 E
2.6 67 E
2.6 62 O
2.6 66 U
2.6 75 U
2.5 74 E
2.5 73 E
2.5 84 M
2.5 49 A
2.4 60 U
2.4 71 O
2.4 76 A
2.4 67 E
2.3 54 A
2.3 57 U
2.3 54 O
2.3 64 O
2.2 85 E
2.2 45 A
2.2 39 O
2.2 54 E
2.1 68 U
2.1 85 U
2 70 M
2 102 M
2 38 U
2 73 A
2 91 E
2 82 U
2 74 M
2 81 M
2 * U
2 62 E
2 62 U
2 67 U
2 80 O
2 68 M
2 80 U
2 * U
2 60 E
2 74 O
1.9 48 U
1.9 60 E
1.9 43 E
1.9 64 O
1.9 67 U
1.8 62 A
1.8 90 E
1.8 66 U
1.8 68 A
1.8 60 A
1.8 53 A
1.8 47 E
1.8 86 U
1.8 67 A
1.7 54 U
1.7 77 E
1.7 61 U
1.7 83 E
1.7 61 U
1.7 58 U
1.7 64 U
1.7 53 A
1.7 67 A
1.6 57 E
1.6 62 A
1.6 * E
1.6 64 O
1.6 69 A
1.6 71 E
1.6 54 U
1.6 78 A
1.5 45 U
1.5 69 U
1.5 59 U
1.5 * A
1.5 82 O
1.5 68 E
1.5 41 E
1.5 60 E
1.5 64 E
1.5 44 E
1.5 7 E
1.5 72 E
1.5 56 E
1.5 60 E
1.4 61 E
1.4 79 O
1.4 42 O
1.4 63 E
1.4 49 E
1.4 56 E
1.4 67 U
1.4 75 E
1.4 43 M
1.4 61 U
1.4 54 O
1.4 47 E
1.4 64 U
1.4 52 A
1.4 73 A
1.3 83 U
1.3 64 E
1.3 71 O
1.3 71 E
1.3 61 M
1.3 83 E
1.3 43 E
1.3 47 U
1.3 79 E
1.3 53 E
1.3 73 U
1.3 72 U
1.3 72 U
1.3 59 A
1.3 77 E
1.3 68 E
1.3 42 E
1.3 61 U
1.2 69 A
1.2 82 O
1.2 * E
1.2 56 U
1.2 42 M
1.2 63 U
1.2 75 U
1.2 * E
1.2 59 A
1.2 70 E
1.2 46 M
1.2 68 U
1.2 68 A
1.2 69 A
1.2 68 O
1.2 64 A
1.1 53 E
1.1 79 E
1.1 49 E
1.1 47 U
1.1 75 U
1.1 76 M
1.1 66 U
1.1 85 U
1.1 66 O
1.1 70 U
1.1 58 E
1.1 72 E
1.1 52 M
1 52 O
1 79 E
1 69 A
1 52 M
1 75 E
1 62 E
1 65 M
1 63 U
1 87 E
1 61 U
1 58 O
1 60 E
1 67 O
1 80 E
1 63 U
1 9 M
1 59 E
1 * E
1 * O
Dem Rep
42.2 35.4
34.5 45.8
44 39.4
34.1 40
41.8 39.2
40.7 40.2
36.4 44.7
43.3 37.3
39.5 40.8
35.4 39.3
44.1 36.8
41 35.5
42.8 33.2
40.8 38.3
36.4 47.7
40.6 41.1
37.4 38.5
HtFt HtBk
6.33 6.08
6.5 6.58
6.5 6.25
6.25 6.58
6.5 6.25
6.33 5.92
6.25 7
6.17 6.41
6.42 6.75
6.33 6.25
6.42 6
6.58 6.92
6.08 6.83
6.58 6.58
6.5 6.41
6.42 6.67
6.25 6.67
6.67 5.75
5.91 6.25
6 6.25
5.83 6.5
6 6
5.83 6.92
5.08 6.25
6.75 6.42
5.83 6.58
6.17 6.58
5.75 6.08
6 6.75
5.75 6.5
6.5 6.83
5.83 6.08
5.91 6.92
5.67 6
6 6.33
6.08 6.5
6.17 6.58
6.58 6.83
6.5 6.5
6.25 6.58
6.33 “”
5.25 “”
6.67 “”
6.5 “”
5.83 “”
“Patient A”
5.863763083189107
6.756567610134441
3.8854427209804046
5.235898848673399
6.139247283160709
5.540184562439477
4.054416868564699
6.4656138716292215
4.07651740127364
4.340922406526312
5.050348050349536
5.647212695000967
5.9001475318995515
3.3995432055738135
4.750821615887759
5.706589846246293
5.199177207466804
3.5061996660504278
5.483415643415163
4.742965718760567
5.344823461331429
6.523942348539196
4.636198182053905
6.696063852971859
6.154859746920193
6.135884200118814
5.2948746256247885
4.771545983527367
7.707884893402243
6.422118229861418
5.13593795648639
5.714764803969958
5.074373286778526
4.941508515943831
4.8075372703753345
6.5563022257210815
5.605414603536653
6.825570695660298
5.519609285072762
6.675330869378191
4.908731238220257
4.935084182538987
4.59510979636465
6.329073962579411
6.493319867695117
5.423336343152433
5.60153350811359
4.7826628178148525
3.8677811423816246
4.317152597912007
6.451269319746017
4.7900726089271775
5.1585249007446015
7.010709921201065
5.794202536064184
5.5375485078777675
5.419436453938164
5.282181300528706
3.761741238711578
4.617295536514295
6.026845793682598
5.551522034023577
4.264353772102376
5.084266406075789
3.5742524540958556
6.826906477006809
5.352104128100074
7.641312982005628
3.7069603400316486
5.5552716621562
6.5139717233892185
4.4952595556691035
4.574097901307698
4.857308270561192
5.604599437902749
4.822326621224704
5.3721209945137005
7.189986483564049
4.825871035213539
7.056400978624488
5.022575134767951
7.152846338210058
3.7996305224472424
5.418568281206395
7.7681549065097
4.891083319736941
6.923457239257736
6.56277391155078
7.234161069376535
4.035612027563197
5.575141123228466
6.211693968819427
4.514626953390703
6.9887327372242085
4.659272488225347
6.325436819103989
3.902425363422762
5.116964770488336
7.425902718404686
6.666418939936117
5.038805574028999
4.7157527888889215
4.954950824511817
7.717868121927754
6.540616149409701
5.378889437637958
6.988566437767645
5.0047417941876775
5.652238294524199
5.08159609151865
4.9489979140440195
4.807696868716175
4.930408229070082
6.170305765194846
5.666638044994216
5.113342179368809
5.19386350015703
4.865625145117956
4.275604402687483
4.607856295221514
4.82757558738398
4.29859909390697
4.42584538853772
5.147812761609234
6.147149098693879
5.005056704459922
6.82969622485184
4.749287088274361
5.574066819878503
6.407543308172228
6.268637378982793
5.00109697582649
3.884202739620005
5.77518597739984
5.585157369224468
7.167175971191431
6.606087989664036
3.851099508326275
5.42292888728155
4.697376727780013
6.661338039220158
5.460845180614192
3.371164557375259
7.195859736164795
7.409325419158108
4.427553614389925
4.94729785704404
7.214468583872452
6.045085618091805
6.402869934463535
6.33190407781045
5.346448287778352
6.4706215325967955
5.773521953308512
5.4196770141751935
3.811090418659518
5.480016208753151
6.914403598130436
6.0251846041728605
5.9809968086532335
4.877478451520236
4.614043760720824
5.51774487349069
4.099372132081396
4.8546115439981525
3.7493199794755823
6.3205526823327345
4.7103996946213345
3.4747871795833136
4.524406621858207
4.670009825166144
5.345386835705342
5.07250958695461
5.953933727252664
4.690145143552318
5.712758356209266
5.853828956063387
5.247327319617871
4.68066434865827
4.4981803068650255
5.234501605797969
5.284399723159851
6.320786938139923
5.808451287208515
5.094953539131761
5.103770939567054
5.1662244830963395
3.705807675586536
5.758672839374903
5.879989093354758
5.806315739190827
4.889744091865006
4.286409957174463
6.0226387651026485
3.2467490216736765
6.846388064795405
4.017609376646468
5.243384549666921
3.9538910909566582
5.229065078939033
5.162343462405043
5.153237734601163
5.8805743555068615
5.679494816179414
5.103355021214769
4.163576282964403
6.20771998743656
5.575170172564199
4.277663247090099
4.074037999608302
6.046968692650332
6.123439551854191
5.447321552485221
5.312445970395366
6.637036839695612
5.516686454146889
4.467175552526766
5.176533385033848
6.684849362744762
4.774215543143314
4.966249559827754
8.007911055849785
4.969096215253294
6.433332690928327
3.234249033966762
5.787119770681403
6.847641363830347
5.875078442387416
4.388957848061271
4.052793495627961
5.622498041613366
3.9985287015515576
6.115678052922122
7.410128381221304
4.389932609949014
3.936395600600343
6.963894511926638
4.785021878503525
5.076370025362324
3.783414818974032
4.562750387900515
5.573806499352378
3.2053350676442935
5.216603398522064
6.221582682415376
4.806011061611877
7.381698161031167
2.9309872159347723
4.41019765188924
5.216196882224528
Rep(Cap) Dem(Cap)
1 1
1 0
1 1
0 0
1 0
1 1
0 1
1 0
1 0
1 1
0 0
1 0
1 0
0 1
1 1
1 1
1 1
1 1
1 0
1 0
1 0
1 1
0 0
1 0
1 1
1 0
1 0
1 0
1 1
1 0
0 1
1 0
1 1
1 1
1 0
1 0
1 0
1 0
0 0
0 0
1 0
1 1
1 1
1 1
1 0
0 1
1 1
1 0
1 1
1 0
1 1
0 0
1 1
0 1
0 0
0 1
1 1
1 1
1 1
1 0
1 1
0 0
1 0
0 0
0 1
1 1
1 0
1 0
0 1
1 0
1 1
1 1
1 1
1 1
0 0
1 1
1 0
0 1
1 1
1 1
1 1
1 0
1 1
1 1
1 1
1 0
1 0
1 1
1 0
1 0
1 0
1 1
1 0
0 1
0 0
0 1
1 0
0 1
1 0
1 1
0 0
1 0
1 1
1 0
1 0
1 1
1 0
1 1
1 1
0 1
1 1
1 0
1 1
0 0
1 0
1 0
0 0
1 0
1 1
1 1
0 1
1 1
1 1
1 1
1 1
1 0
0 0
1 1
1 0
1 0
0 0
1 1
1 1
0 1
1 1
1 1
1 0
1 1
0 1
1 1
1 1
1 0
1 1
1 1
1 1
1 1
0 0
1 1
0 0
0 0
1 1
1 1
1 0
1 1
1 0
0 1
0 0
1 1
1 1
1 0
0 0
1 0
1 1
1 1
1 0
0 1
0 1
1 1
0 1
1 1
1 0
1 1
1 0
1 1
1 1
0 1
1 0
1 0
1 1
0 1
1 0
1 0
0 1
1 1
1 1
1 1
1 1
0 1
0 0
1 1
0 1
1 1
0 0
1 0
1 1
1 1
1 0
0 1
1 1
1 0
1 1
1 0
0 1
0 1
0 1
1 1
1 1
1 1
1 0
0 0
1 1
1 1
1 0
1 1
0 1
1 1
0 1
1 0
1 1
1 0
1 0
1 0
1 0
0 1
1 0
1 1
1 1
1 1
1 1
0 1
1 1
1 0
1 1
1 0
1 0
0 1
0 0
1 0
0 0
1 1
0 1
0 1
1 1
1 1
1 1
1 1
1 0
1 1
1 0
0 0
1 1
1 1
0 1
0 0
1 0
0 1
1 0
1 0
1 0
1 1
0 1
1 1
1 1
1 1
1 1
1 0
1 1
1 0
0 1
1 1
1 0
1 0
1 1
0 0
1 1
1 0
0 1
1 1
1 0
1 0
1 0
1 1
1 1
1 1
0 1
0 1
1 1
0 0
1 1
1 0
1 1
1 0
1 0
0 1
1 1
0 0
0 1
1 1
1 0
0 1
0 0
1 1
1 1
1 1
1 1
0 0
1 0
1 0
0 1
0 1
1 0
0 1
1 1
0 0
1 1
1 0
1 1
0 0
0 0
0 1
1 1
1 1
1 1
0 0
1 0
0 0
1 0
1 0
1 1
1 0
1 0
1 1
0 1
0 1
1 0
0 1
1 0
0 1
1 0
1 0
1 0
1 1
1 1
0 0
0 0
1 0
1 1
1 1
1 1
1 0
1 1
0 1
1 1
0 0
1 1
1 1
1 0
1 0
1 1
1 1
1 1
0 0
0 0
1 0
1 1
1 0
1 1
1 1
1 0
1 1
0 1
1 1
1 0
1 0
1 0
0 0
1 0
1 1
1 0
1 0
0 0
1 1
1 0
1 0
1 1
0 0
1 1
1 0
0 1
1 1
1 1
1 1
1 0
0 0
1 1
1 1
0 0
1 0
1 0
1 1
1 1
1 0
0 0
1 0
1 0
0 0
1 0
1 1
0 0
1 0
1 1
1 1
1 0
0 1
1 0
1 0
1 1
1 1
0 1
0 1
0 1
1 0
0 1
1 0
1 0
1 1
0 1
0 0
1 0
1 0
1 0
0 1
1 0
0 1
1 0
1 0
0 1
0 1
1 1
1 1
1 1
1 0
1 0
0 1
0 1
0 1
0 0
1 1
1 0
1 1
1 1
1 1
0 1
0 1
1 0
1 0
0 0
0 1
1 1
1 1
1 1
0 1
1 1
0 0
1 1
0 0
1 0
1 1
0 1
1 0
1 0
1 1
1 0
1 0
1 0
1 1
1 1
0 1
0 0
0 1
1 1
1 0
1 0
1 1
0 0
1 1
1 1
0 1
1 1
0 1
1 0
1 1
1 1
1 1
1 0
0 1
1 0
1 1
1 0
0 1
1 1
0 1
1 1
1 0
1 1
1 0
1 0
0 1
1 0
1 1
0 1
1 1
0 0
0 0
0 0
0 1
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 1
1 1
1 1
1 0
1 1
1 1
1 1
1 1
1 1
0 0
1 1
1 0
1 0
1 0
1 1
1 1
1 1
1 1
0 0
0 0
0 0
1 1
0 0
1 1
1 1
0 0
0 0
1 0
1 1
1 1
1 0
1 1
1 1
1 0
1 1
0 0
1 1
1 1
1 1
1 0
1 1
1 1
0 1
0 0
0 1
1 1
1 0
1 0
1 1
0 1
1 1
1 0
1 1
1 1
0 1
1 0
1 0
1 1
0 0
1 0
1 0
1 1
1 0
0 1
1 1
1 1
0 0
1 1
1 0
0 1
1 1
1 1
1 0
1 1
1 1
1 1
1 1
1 0
1 1
0 0
1 0
1 1
0 1
1 0
0 0
0 0
1 0
1 1
1 1
0 1
1 0
1 0
0 1
0 1
1 0
1 0
1 1
0 0
1 1
0 1
1 1
0 0
1 0
1 1
1 0
1 1
1 1
1 0
1 1
1 0
1 1
0 0
0 0
1 1
1 1
1 1
0 1
1 1
1 0
0 1
0 0
1 0
1 0
1 0
1 0
0 1
1 1
1 1
1 0
0 0
1 1
0 0
1 1
1 0
1 1
1 0
1 1
0 1
1 0
1 1
1 1
1 1
0 0
1 0
1 1
1 0
0 1
1 1
1 0
1 0
0 1
1 0
1 0
1 0
1 0
1 0
0 1
1 1
0 1
0 1
1 0
1 1
0 1
0 0
1 1
1 1
1 1
1 1
1 0
1 1
1 0
1 0
1 0
1 1
0 0
1 1
0 0
1 1
1 0
0 1
1 1
0 0
1 1
1 1
1 1
1 1
1 1
0 1
1 0
1 1
1 1
1 0
0 1
0 0
1 1
1 0
1 1
1 1
1 1
1 0
1 1
0 1
1 1
1 0
1 0
1 1
0 0
0 1
0 1
1 1
1 1
0 1
1 1
0 1
1 0
1 0
1 0
1 1
1 1
0 1
1 0
1 0
1 0
0 1
1 0
1 0
1 1
1 1
1 0
0 1
1 0
1 0
0 0
0 0
1 1
1 0
1 1
1 0
0 0
1 1
1 1
1 0
1 1
1 1
1 1
1 0
1 1
1 0
0 0
1 1
0 1
1 1
0 1
0 0
0 0
0 0
1 0
0 1
1 0
1 1
0 0
1 0
1 0
0 0
1 1
0 1
0 0
0 1
1 1
0 0
1 1
0 0
1 1
0 0
1 0
1 0
0 0
1 1
1 1
1 0
1 0
1 1
1 0
0 0
1 0
1 0
1 1
0 1
0 1
1 1
0 0
1 1
1 1
0 0
1 1
1 1
1 1
1 0
0 1
1 0
0 1
0 1
0 1
1 1
0 1
0 1
1 1
1 1
0 1
1 0
1 1
1 1
1 0
1 0
1 1
1 0
0 0
1 0
1 1
0 0
1 0
0 1
1 0
0 0
1 1
1 1
1 1
1 1
1 0
0 1
0 0
0 1
0 0
1 1
1 0
1 0
1 0
1 1
1 0
0 1
1 0
1 0
1 0
1 1
1 1
1 0
0 1
0 1
1 0
1 1
1 1
1 0
0 0
1 0
1 1
1 1
1 1
1 1
1 1
1 0
1 1
1 0
1 0
1 1
1 0
0 0
1 0
1 1
1 0
1 1
0 0
0 1
1 0
1 1
0 0
1 0
1 1
1 0
1 1
1 1
1 1
1 0
1 0
1 1
1 1
1 1
1 1
1 1
1 1
1 0
1 1
0 1
1 1
1 1
1 1
1 0
1 1
0 1
1 1
1 1
1 1
1 1
0 1
1 0
1 0
1 1
0 0
1 0
1 0
1 1
1 1
1 1
1 0
1 0
1 1
1 1
1 1
1 1
0 0
1 0
0 0
1 0
0 1
1 1
1 1
1 0
0 1
1 1
0 1
1 0
0 0
1 0
1 1
1 0
1 0
1 0
0 1
1 0
1 0
1 1
1 1
1 1
0 0
1 1
1 0
1 1
0 1
0 0
1 0
1 0
1 1
0 0
0 0
1 0
1 0
1 1
1 1
1 1
1 1
0 0
1 0
0 1
0 1
1 0
0 0
1 1
1 0
1 1
1 1
1 1
1 1
0 1
1 1
1 0
1 0
1 0
0 0
1 1
1 0
1 1
0 0
1 0
1 1
1 0
0 0
1 0
1 0
0 1
0 0
0 1
1 0
1 1
1 1
0 0
0 0
0 1
1 0
1 1
0 1
1 1
0 1
1 1
0 1
0 1
1 1
1 1
1 1
0 0
1 0
0 0
1 0
1 1
1 0
0 0
0 0
1 0
“SSHA (older)”
150
177
90
131
158
140
95
168
96
104
125
143
151
76
116
145
130
79
138
116
