According to the IRS, individuals filing federal income tax returns prior to March 31 received an average refund of $1056 in 2018. Consider the population of “last-minute” filers who mail their tax return during the last five days of the income tax period (typically April 10 to April 15). A researcher suggests that a reason individuals wait until the last five days is that on average these individuals receive lower refunds than do early filers. For a sample of 400 individuals who filed a tax return between April 10 and 15, the sample mean refund was $910. Based on prior experience, a population standard deviation of  σ = $1,600 may be assumed. Test the researcher's assertion using the critical value approach. Use α = 0.05

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.5: Interpreting Data
Problem 1C
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According to the IRS, individuals filing federal income tax returns prior to March 31 received an average refund of $1056 in 2018. Consider the population of “last-minute” filers who mail their tax return during the last five days of the income tax period (typically April 10 to April 15).

A researcher suggests that a reason individuals wait until the last five days is that on average these individuals receive lower refunds than do early filers. For a sample of 400 individuals who filed a tax return between April 10 and 15, the sample mean refund was $910. Based on prior experience, a population standard deviation of  σ = $1,600 may be assumed.

Test the researcher's assertion using the critical value approach. Use α = 0.05

(Please include all the 7 steps in hypothesis testing)

Steps in hypothesis testing

p-value Approach

Develop the null and alternative hypothesis

Specify the level of significance, α

Choose the test statistic (z or t)

Calculate the test statistic

Use the value of the test statistic to compute the p-value.

Reject H0 if p-value ≤ α

Interpret the statistical conclusion in the context of the problem.

  • Critical Value Approach
  • Develop the null and alternative hypothesis
  • Specify the level of significance, α
  • Choose the test statistic (z or t)
  • Use the level of significance to determine the critical value and the rejection rule
  • Calculate the test statistic
  • Compare test statistic to your rejection rule. Reject of Fail to Reject the null hypothesis
  • Interpret the statistical conclusion in the context of the problem.
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