Loose Leaf for Statistical Techniques in Business and Economics
Loose Leaf for Statistical Techniques in Business and Economics
17th Edition
ISBN: 9781260152647
Author: Douglas A. Lind
Publisher: McGraw-Hill Education
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Chapter 12, Problem 15E

a.

To determine

State the null and alternative hypotheses for treatments.

b.

To determine

State the decision rule for treatments.

c.

To determine

State the null and alternative hypotheses for blocks.

State the decision rule for blocks.

d.

To determine

Find SST, SSB, SS total, and SSE.

e.

To determine

Obtain an ANOVA table.

f.

To determine

Mention the decision regarding the two sets of hypotheses.

Interpret the results.

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A researcher selects a sample and administers a treatment for anxiety to the individuals in the sample. If the sample is used for a hypothesis test, what does the alternative hypothesis (H1) put forth about the treatment?    A. The treatment has no effect on anxiety. B. The treatment adds a constant to each anxiety score. C. The treatment multiplies each anxiety score by a constant. D. The treatment has an effect on anxiety.
The following table contains the number of successes and failures for three categories of a variable. Test whether the proportions are equal for each category at the x = 0.01 level of significance. Category 1 Category 2 Category 3 Failures 39 83 47 Successes 30 65 38 Click the icon to view the Chi-Square table of critical values. State the hypotheses. Choose the correct answer below. OA. Ho: The categories of the variable and success and failure are independent. H₁: The categories of the variable and success and failure are dependent. OB. Ho: The categories of the variable and success and failure are dependent. H₁: The categories of the variable and success and failure are independent. C. Ho: P1 P2 P3 H₁: At least one of the proportions is different from the others. OD. Ho: H₁=E₁ and μ₂ = E₂ and μ3 = E3 H₁: At least one mean is different from what is expected. Compute the value of the chi-square test statistic. xo (Round to three decimal places as needed.)
Molly works for a meat producer, and she needs to determine whether containers of ground beef have the correct fat content. She obtains a random sample of 120 containers of ground beef and finds that 84 percent have the correct fat content. Molly then conducts a hypothesis test of H0:p=0.80H0:p=0.80 versus Ha:p≠0.80Ha:p≠0.80 and calculates a test statistic of 1.10 with a pp-value of 0.273. Which of the following best represents the meaning of the pp-value?     If the population proportion is 0.84, the probability of observing a sample proportion of 0.80 is 0.273. A If the population proportion is 0.84, the probability of observing a sample proportion of at least 0.04 less than 0.84 is 0.273. B If the population proportion is 0.80, the probability of observing a sample proportion within 0.04 of 0.80 is 0.273. C If the population proportion is 0.80, the probability of observing a sample proportion at least 0.04 greater than 0.80 is 0.273. D If the…

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Loose Leaf for Statistical Techniques in Business and Economics

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