The purpose of this assignment is to develop and carry out an inferential statistics analysis plan and write up the findings. There are two main parts to this assignment:
Inferential Statistics Data Plan and Analysis
Prepare Data Plan, Analyze Data, and Complete Part A of the Assignment #3 Template
Task 1: Select Variables. Review the variables you used for assignments #1 and #2. Select your qualitative socioeconomic variable as your grouping variable and the two expenditure variables from the variables used in these previous assignments. Fill in Table 1: Variables Selected for Analysis with name, description, and type of variable (i.e., qualitative or quantitative).
Task 2: Select and Run a One Sample Confidence Interval Analysis. For one expenditure variable, select and run the appropriate method for estimating a parameter, based on a statistic (i.e., confidence interval method). Complete Table 2: Confidence Interval Information and Results, which follows the format outlined by Kozak and the course’s problem-solving approach, including:
a.Random variable stated in words
b.Confidence interval method, including rationale and assumptions
c.Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.).
d.Results obtained ? Interpretation
Task 3: Select Two Sample Hypothesis Test. Using the second expenditure variable (with the socioeconomic variable as the grouping variable), select and run the appropriate method for making decisions about two parameters relative to observed statistics (i.e., two sample STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 2 of 5 hypothesis test method). Complete Table 3: Two Sample Hypothesis Test Analysis, which follows the format outlined by Kozak and the course’s problem-solving approach, including:
a.Hypotheses (null and alternative).
b.Two sample hypothesis testing method, including rationale and assumptions
c.Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.).
d. Results obtained.
e. Interpretation (i.e., Reject the null hypothesis OR Fail to reject null hypothesis)