Inferential Statistics Analysis and Writeup

Part A: Inferential Statistics Data Analysis Plan and Computation

Introduction:

Variables Selected:

Table 1: Variables Selected for Analysis

Variable Name in the Data Set Variable TypeDescriptionQualitative or Quantitative

Variable 1:Socioeconomic

Variable 2:Expenditure

Variable 3:Expenditure

Data Analysis:

1.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) and complete the following table (Note: Format follows Kozak outline):

Table 2: Confidence Interval Information and Results

Name of Variable:

State the Random Variable and Parameter in Words:

Confidence interval method including confidence level and rationale for using it:

State and check the assumptions for confidence interval:

Method Used to Analyze Data:

Find the sample statistic and the confidence interval:

Statistical Interpretation:

2.Hypothesis Testing:Using the second expenditure variable (with socioeconomic variable as the grouping variable for making two groups), select and run the appropriate method for making decisions about two parameters relative to observed statistics (i.e., two sample hypothesis testing method) and complete the following table (Note: Format follows Kozak outline):

Table 3: Two Sample Hypothesis Test Analysis

Research Question:

Two Sample Hypothesis Test that Will Be Used and

Rationale for Using It:

State the Random Variable and Parameters in Words:

State Null and Alternative Hypotheses and Level of

Significance:

Method Used to Analyze Data:

Find the sample statistic, test statistic, and p-value:

Conclusion Regarding Whether or Not to Reject the Null Hypothesis:

Part B: Results Write Up

Confidence Interval Analysis:

Two Sample Hypothesis Test Analysis:

Discussion:

Data Set

Unique ID#SE-Marital Status SE-Income SE-Age Head of HouseholdSE-Family Size USD-FoodUSD-Meat

1 Not Married $95,744 52 4 7040 906

2 Not Married $94,867 60 1 6935 918

3 Not Married $96,244 56 4 7073 918

4 Not Married $98,717 40 3 7036 889

5 Not Married $96,697 49 2 6971 898

6 Not Married $96,886 44 2 6982 917

7 Not Married $94,929 59 2 6948 899

8 Not Married $96,653 51 4 6943 880

9 Not Married $96,928 43 3 6953 887

10 Not Married $96,522 43 4 6991 922

11 Not Married $96,572 59 2 7179 880

12 Not Married $96,621 54 2 7000 911

13 Not Married $96,690 57 2 6822 880

14 Married $96,664 53 3 7051 906

15 Married $95,366 48 2 7130 904

16 Married $100,947 35 4 8455 910

17 Married $114,505 36 5 11375 1368

18 Married $95,865 46 1 9321 1159

19 Married $95,835 54 3 9111 1098

20 Married $100,350 31 5 9044 1015

21 Married $113,558 31 5 10346 1343

22 Married $95,706 52 4 8925 1207

23 Married $106,906 51 3 11356 1434

24 Married $109,377 48 4 10575 1492

25 Married $102,081 42 4 11738 1348

26 Married $103,001 34 4 8947 864

27 Married $110,553 23 4 10575 1346

28 Married $106,977 56 3 10611 1320

29 Married $101,890 48 2 11089 1481

30 Married $100,565 18 3 8479 893