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State the two conditions required for performing a paired r-procedure. How important are those conditions?

Short Answer

Expert verified

A simple random paired sample with normal differences or a large sample size are required conditions for performing a paired t-procedure. A simple random sample assumption is required.

Step by step solution

01

Given information

To explain The conditions required for performing a paired t-procedure.

02

Explanation

A simple random paired sample with normal differences or a large sample size are required conditions for performing a paired t-procedure. A simple random sample assumption is required. The paired t-test, in particular, is robust to moderate violations of the normality assumption and can be used with small or moderate-sized samples.

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Most popular questions from this chapter

Refer again to Fig. 10.8 on page 427, where each pair of graphs shows the distributions of a variable on two populations. Suppose that, in each case, you want to perform a small-sample hypothesis test based on independent simple random samples to compare the means of the two populations. In each case, decide which, if any, of the following tests is preferable: the pooled t-test, the non pooled t-test, or the Mann-Whitney test. Explain your answers.

Recess and Wasted Food, E. Bergman et al. conducted a study to determine, among other things, the impact that scheduling recess before or after the lunch period has on wasted food for students in grades three through five. Results were published in the online article "The Relationship of Meal and Recess Schedules to Plate Waste in Elementary Schools" (Journal of Child Nutrition and Management, Vol. 28, Issue 2). Summary statistics for the amount of food wasted, in grams, by randomly selected students are presented in the following table.

At the 1%significance level, do the data provide sufficient evidence to conclude that, in grades three through five, the mean amount of food wasted for lunches before recess exceeds that for lunches after recess?

Gasoline Additive. This exercise shows what can happen when a hypothesis-testing procedure designed for use with independent samples is applied to perform a hypothesis test on a paired sample. The gas mileages, in miles per gallon (mpg), of 10 randomly selected cars, both with and without a new gasoline additive, are shown in the following table.

  1. Apply the paired t-test to decide, at the 5%significance level, whether the gasoline additive is effective in increasing gas mileage.
  2. Apply the pooled t-test to the sample data to perform the hypothesis test.
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  4. Compare your result in parts (a) and (b).

In Exercises 10.25-10.30, hypothesis tests are proposed. For each

hypothesis test,

a. identify the variable.

b. identify the two populations,

c. determine the null and alternative hypotheses.

d. classify the hypothesis test as two-tailed, left-tailed, or right-tailed.

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At the 5%significance level, does there appear to be a difference in last year's mean VMT for midwestern and southern households? (Note: x¯1=16.23,s1=4.06,x¯2=17.69, and s2=4.42.)

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