2. Sample: Define your sample. Take a random sample of 100 observations for your region. a. Describe what is included in your sample (i.e., states, region, years or months). 3. Questions and type of test: For your selected sample, define two hypothesis questions and the appropriate type of test hypothesis for each. Address the following for each hypothesis: a. Describe the population parameter for the variable you are analyzing. b. Describe your hypothesis in your own words. c. Describe the inference test you will use. i. Identify the test statistic. 4. Level of confidence: Discuss how you will use estimation and conference intervals to help you solve the problem. 1-Tailed Test 1. Hypothesis: Define your hypothesis. a. Define the population parameter. b. Write null (Ho) and alternative (Ha) hypotheses. c. Specify your significance level. 2. Data analysis: Analyze the data and confirm assumptions have not been violated to complete this hypothesis test. a. Summarize your sample data using appropriate graphical displays and summary statistics. i. Provide at least one histogram of your sample data. ii. In a table, provide summary statistics including sample size, mean, median, and standard deviation. iii. Summarize your sample data, describing the center, spread, and shape in comparison to the national information. b. Check the conditions. i. Determine if the normal condition has been met. ii. Determine if there are any other conditions that you should check and whether they have been met. 3. Hypothesis test calculations: Complete hypothesis test calculations, providing the appropriate statistics and graphs. a. Calculate the hypothesis statistics. i. Determine the appropriate test statistic (t). ii. Calculate the probability [p value)