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Maths Statistics Project: You are going to use a data set called lifeskill.csv

Maths Statistics Project: You are going to use a data set called lifeskill.csv

You are going to use a data set called lifeskill.csv
Make sure that YOU READ THE CODEBOOK AND THE DESCRIPTION OF THE DATA SET BEFORE YOU TRY TO RUN THE RELEVANT ANALYSIS.
Using this data set answer the following questions:
A- Choose Two Variables, one categorical and one numerical. Create a numerical as well as graphical summary for each of those variables. Don’t forget to comment on the graphical summaries you find. In case of histograms, for example, talk about shape, center, and spread.
B- Pick a variable that was measured before (pretest) and after (posttest) the life skills class. Sample variables would be attitude toward safety, attitude toward high school, and
attitude toward resolving conflict with boy friend or girl friend.
PART ONE
a. Explain why the pretest and posttest data are dependent.
b. Pick a variable that was measured before (pretest) and after (posttest) the Life skills class.
c. Write the null and alternative hypotheses to show whether the life skills class had any effect on changing the attitude of students toward the variable you picked.
d. Do this in words and symbols.
e. Conduct the paired -sample test of the mean using
f. Write your conclusion regarding the null hypothesis WITHIN CONTEXT.
g. Interpret the P-value.
h. Interpret the 95% confidence interval.
i. Shows how you can hand calculate the t-value generated by Statcrunch
j. Shows how you can hand calculate the confidence interval generated by
StatCrunch
PART TWO
a. Using the same variables that you chose in part one, use to compute a
new variable called “gain”. “Gain” would be equal to the posttest minus the pretest.
b. Conduct a one-sample test of the mean using the gain score that you created.
c. Your null hypothesis would be that the mean gain in the population is equal to zero.
d. Interpret your conclusions regarding the null hypothesis within context.
e. Interpret the 95% confidence interval within context.
f. Compare the results of the one-sample test of the mean with the paired-sample test of the mean. Did you get the same results or different results? Explain why.

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