Inferential Statistics Data Analysis Plan and Computation
Introduction:
Variables Selected:
Table 1: Variables Selected for Analysis
|
Variable Name in the Data Set |
Variable Type |
Description |
Qualitative or Quantitative |
|
Variable 1: Marital Status |
Socioeconomic |
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|
Variable 2: Food |
Expenditure |
||
|
Variable 3: Fruit |
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
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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: |
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Method Used to Analyze Data: |
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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
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Research Question: |
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Two Sample Hypothesis Test that Will Be Used and Rationale for Using It: |
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State the Random Variable and Parameters in Words: |
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State Null and Alternative Hypotheses and Level of Significance: |
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Method Used to Analyze Data: |
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Find the sample statistic, test statistic, and p-value: |
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Conclusion Regarding Whether or Not to Reject the Null Hypothesis: |
Part B: Results Write Up
Confidence Interval Analysis:
Two Sample Hypothesis Test Analysis:
Discussion:
