Discuss the below:
1. Develop a 90% confidence interval and a 95% confidence interval for the population mean. Did you use a z statistic or t statistics? Why? Compare the size and meaning of the two confidence intervals.
2. Test a hypothesis about a population mean. Take a random sample and perform a t-test against a population mean. Explain what assumptions you made.
3. Test a hypothesis comparing two population means. Collect two independent samples. Perform a t-test using two independent samples.
4. Test a hypothesis comparing two population means using paired (matched) observations. Collect two dependent samples. Perform a t test for paired observations.
5. Perform a linear regression and correlation study. Collect bivariate data.
6. Perform a one-way test for analysis of variance (ANOVA). Select three independent samples.
7. Perform a chi-square goodness-of-fit test. Collect observed and expected data.
8. Perform a chi-square independence test. Collect observed data in the form of a contingency table.
Attachment:- Contingency table.rar