Some people think recycled products are lower in quality than other products, a fact that makes recycling less practical. Here are data on attitudes toward coffee filters made of recycled paper from a random sample of adults:

(a) Make a bar graph that compares buyers’ and non-buyers’ opinions about recycled filters. Describe what you see

(b) Minitab output for a chi-square test using these data is shown below. Carry out the test. What conclusion do you draw?

Short Answer

Expert verified

(a) The bar graph is

Buyers frequently believe that product quality is higher, but nonbuyers frequently believe that product quality is lower.

(b) There is sufficient evidence that there is an association between the variables.

Step by step solution

01

Part (a) Step 1: Given information

The given data is

02

Part (b) Step 2: Explanation

The proportions in each group is the number of subjects divided by the row total:

Create a histogram

The width of each bar is equal and the height is equal to the proportion.

Buyers frequently believe that product quality is higher, but nonbuyers frequently believe that product quality is lower.

03

Part (b) Step 1: Given information

The given data is

04

Part (b) Step 2: Explanation

The null hypothesis states that there is no association between the variables:

H0: There is no association between the variables

The alternative hypothesis states that there is an association between the variables:

Ha: There is an association between the variables

The P-value is given in the output as:

P=0.022

If the P-value is smaller than the significance level, reject the null hypothesis:

P<0.05RejectH0

There is sufficient evidence that there is an association between the variables.

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Most popular questions from this chapter

Make a bar graph that compares the two conditional distributions. What are the most important differences in Facebook use between the two campus settings?

The appropriate null hypothesis for performing a chi-square test is that

(a) equal proportions of female and male teenagers are almost certain they will be married in 10 years.

(b) there is no difference between female and male teenagers in this sample in their distributions of opinions about marriage.

(c) there is no difference between female and male teenagers in the population in their distributions of opinions about marriage.

(d) there is no association between gender and opinion about marriage in the sample.

(e) there is no association between gender and opinion about marriage in the population.

After randomly assigning subjects to treatments in a randomized comparative experiment, we can compare the treatment groups to see how well the random assignment worked. We hope to find no significant differences among the groups. A study on how to provide premature infants with a substance essential to their development assigned infants at random to receive one of four types of supplements, called PBM, NLCP, PL-LCP, and TG-LCP. The subjects were 77premature infants. In the experiment, 20were assigned to the PBM group and 19to each of the other treatments.

(a) The random assignment resulted in 9females in the TG-LCP group and 11 females in each of the other groups. Make a two-way table of the group by gender. Calculate the proportion of females in each treatment group. Does it appear that the random assignment roughly balanced the groups by gender? Explain.

(b) Are the differences between the groups statistically significant? Give appropriate evidence to support your answer.

Which of the following may we conclude, based on the test results?

(a) There is strong evidence of an association between wiring configuration and the chance that a child will develop some form of cancer.

(b) HCC either cause cancer directly or is a major contributing factor to the development of cancer in children.

(c) Leukemia is the most common type of cancer among children.

(d) There is not much evidence of an association between wiring configuration and the type of cancer that caused the deaths of children in the study.

The expected count of females who respond “almost certain” is

(a) 464.6.

(b) 891.2.

(c) 1038.8.

(d) 1174.

(e) None of these.

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