TERM 3 - Hypothesis Test Project:
General Instructions:
** Hand in work on TUESDAY to be graded. Text must be typed out, calculations can be done out by hand.
* Projects need to be done INDIVIDUALLY . For the project, students must conduct 1 hypothesis tests, and perform a complete analysis (from data collection to conclusion.. see below). They must be one HT/CI type from the following list: 1 sample mean; difference of means; Matched Pairs; 1 proportion; difference of proportions.
The following must be done for the Hypothesis Test/CI:
1) Clearly define your hypothesis in words, and be sure to clearly define the population.
2) Define the null and alternative hypothesis using appropriate statistical terminology.
3) Explain how you went about collecting the data. Then state and check conditions required for the hypothesis test. If you feel that your data is NOT drawn from a simple random sample, this is ok, just explain why you think your data may be biased. In short, make sure your DEFINE and then CHECK your conditions
4) What is you sample statistic that you calculated (x-bar or p-hat, for example).
5) What is the test statistic.
6) Calculate the p-value.
7) What is your conclusion? Make sure to interpret in the context of the problem!!
8) Calculate a 90% confidence interval.
9) Interpret the confidence interval using CONTEXT!!
** Hand in work on TUESDAY to be graded. Text must be typed out, calculations can be done out by hand.
* Projects need to be done INDIVIDUALLY . For the project, students must conduct 1 hypothesis tests, and perform a complete analysis (from data collection to conclusion.. see below). They must be one HT/CI type from the following list: 1 sample mean; difference of means; Matched Pairs; 1 proportion; difference of proportions.
The following must be done for the Hypothesis Test/CI:
1) Clearly define your hypothesis in words, and be sure to clearly define the population.
2) Define the null and alternative hypothesis using appropriate statistical terminology.
3) Explain how you went about collecting the data. Then state and check conditions required for the hypothesis test. If you feel that your data is NOT drawn from a simple random sample, this is ok, just explain why you think your data may be biased. In short, make sure your DEFINE and then CHECK your conditions
4) What is you sample statistic that you calculated (x-bar or p-hat, for example).
5) What is the test statistic.
6) Calculate the p-value.
7) What is your conclusion? Make sure to interpret in the context of the problem!!
8) Calculate a 90% confidence interval.
9) Interpret the confidence interval using CONTEXT!!