Question
Part 1 A). Create an introductory paragraph were you describe the data set in detail, types of variables, number of observations, what group does it
Part 1
A). Create an introductory paragraph were you describe the data set in detail, types of variables, number of observations, what group does it represent, where did you obtain the data set, and what type of calculations can you perform on the data. If your data set has more than 5 variables in your data set focus on a few of your choice but ensure that you have at least one quantitative and one qualitative variable.
B). Make an appropriate graph of a categorical variable in your data and explain what information you get from the graph and what it tells you about the individuals it represents.
C). Make a histogram for a quantitative variable in your data, explain what information you get from the graph and what it tells you about the individuals it represents.
D). Compute appropriate sample statistics for a quantitative variable in your data and explain what information you get from these values.
E). For a variable in your dataset, compute a confidence interval, either for the population proportion of some property or for the population mean.
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. Identify your confidence level for the interval and explain what the confidence level means.
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Identify the appropriate critical value (z* or t*) and determine its value.
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Give the computation of the margin of error.
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Interpret the results of your confidence interval.
F). Explain any concerns you have about your data and cautions about some of the conclusions you made
Gender | SAT | HS GPA |
Male | 910 | 3 |
Male | 980 | 3 |
Female | 890 | 2.5 |
Male | 700 | 2.3 |
Male | 970 | 2.5 |
Female | 1130 | 2.2 |
Male | 1100 | 3 |
Female | 880 | 3.1 |
Female | 1190 | 3.5 |
Male | 990 | 2.8 |
Female | 1020 | 3.5 |
Male | 1060 | 4 |
Male | 1010 | 4 |
Female | 1410 | 4 |
Female | 880 | 2.5 |
Male | 1140 | 3 |
Female | 1040 | 3 |
Male | 1000 | 3.7 |
Female | 1080 | 3.3 |
Male | 1140 | 3.5 |
Male | 1200 | 2.3 |
Male | 930 | 2.7 |
Male | 900 | 2.8 |
Male | 860 | 3.2 |
Female | 1090 | 4 |
Male | 1270 | 3.5 |
Female | 1060 | 3.6 |
Female | 850 | 2.4 |
Male | 950 | 4 |
Female | 1040 | 2.8 |
Female | 1080 | 3 |
Female | 860 | 2.7 |
Male | 1180 | 3.7 |
Male | 1060 | 2.6 |
Female | 990 | 3 |
Female | 1160 | 3.2 |
Female | 1130 | 3.5 |
Male | 880 | 3.1 |
Female | 970 | 2.9 |
Male | 1210 | 3.7 |
Female | 1280 | 3.7 |
Male | 1040 | 3.2 |
Male | 1210 | 3.7 |
Male | 1030 | 2.4 |
Female | 980 | 2.4 |
Female | 810 | 2.5 |
Female | 1110 | 3.3 |
Male | 1300 | 4 |
Female | 1020 | 4 |
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