Essential Statistics for the Behavioral Sciences
2nd Edition
ISBN: 9781506386300
Author: Gregory J. Privitera
Publisher: SAGE Publications, Inc
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Chapter 1, Problem 7FP
To determine
To explain whether a nominal variable can be numeric or not.
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Suppose we wish to test the hypothesis that women with a sister’s history of breast cancer are at higher risk of developing breast cancer themselves. Suppose we assume that the prevalence rate of breast cancer is 3% among 60- to 64-year-old U.S. women, whereas it is 5% among women with a sister history. We propose to interview 400 women 40 to 64 years of age with a sister history of the disease. What is the power of such a study assuming that the level of significance is 10%?
I only need help writing the null and alternative hypotheses.
4.96 The breaking strengths for 1-foot-square samples of a particular synthetic fabric are approximately normally distributed with a mean of 2,250 pounds per square inch (psi) and a standard deviation of 10.2 psi. Find the probability of selecting a 1-foot-square sample of material at random that on testing would have a breaking strength in excess of 2,265 psi.4.97 Refer to Exercise 4.96. Suppose that a new synthetic fabric has been developed that may have a different mean breaking strength. A random sample of 15 1-foot sections is obtained, and each section is tested for breaking strength. If we assume that the population standard deviation for the new fabric is identical to that for the old fabric, describe the sampling distribution forybased on random samples of 15 1-foot sections of new fabric
Une Entreprise œuvrant dans le domaine du multividéo donne l'opportunité à ses
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Voici les résultats obtenues (sur une échelle de 10 à 50) où 50 représentent une
excellente performance. 10 programmeurs furent sélectionnés au hazard pour
évaluer deux cadres. Un rapport Excel est également fourni.
Programmeurs
Cadre A Cadre B
1
34
36
2
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3
18
19
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38
19
21
21
23
7
35
34
8
20
20
9
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34
10
36
34
Test d'égalité des espérances: observations pairées
Chapter 1 Solutions
Essential Statistics for the Behavioral Sciences
Ch. 1 - Prob. 1FPCh. 1 - Prob. 2FPCh. 1 - Prob. 3FPCh. 1 - Prob. 4FPCh. 1 - Prob. 5FPCh. 1 - Prob. 6FPCh. 1 - Prob. 7FPCh. 1 - Prob. 8FPCh. 1 - Prob. 9FPCh. 1 - Prob. 10FP
Ch. 1 - Prob. 11CAPCh. 1 - Prob. 12CAPCh. 1 - Prob. 13CAPCh. 1 - Prob. 14CAPCh. 1 - Prob. 15CAPCh. 1 - Prob. 16CAPCh. 1 - Prob. 17CAPCh. 1 - Prob. 18CAPCh. 1 - Prob. 19CAPCh. 1 - Prob. 20CAPCh. 1 - Prob. 21CAPCh. 1 - Prob. 22CAPCh. 1 - Prob. 23CAPCh. 1 - Prob. 24CAPCh. 1 - Prob. 25CAPCh. 1 - Prob. 26CAPCh. 1 - Prob. 27PRCh. 1 - Prob. 28PRCh. 1 - Prob. 29PRCh. 1 - Prob. 30PRCh. 1 - Prob. 31PRCh. 1 - Prob. 32PR
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- Suppose that Sue and Bill each make a confidence interval out of the same data set, but Sue wants a confidence level of 80 percent compared to Bill’s 90 percent. How do their margins of error compare?arrow_forwardSuppose that you conduct a study twice, and the second time you use four times as many people as you did the first time. How does the change affect your margin of error? (Assume the other components remain constant.)arrow_forwardOut of a sample of 200 babysitters, 70 percent are girls, and 30 percent are guys. What’s the margin of error for the percentage of female babysitters? Assume 95 percent confidence.What’s the margin of error for the percentage of male babysitters? Assume 95 percent confidence.arrow_forward
- You sample 100 fish in Pond A at the fish hatchery and find that they average 5.5 inches with a standard deviation of 1 inch. Your sample of 100 fish from Pond B has the same mean, but the standard deviation is 2 inches. How do the margins of error compare? (Assume the confidence levels are the same.)arrow_forwardA survey of 1,000 dental patients produces 450 people who floss their teeth adequately. What’s the margin of error for this result? Assume 90 percent confidence.arrow_forwardThe annual aggregate claim amount of an insurer follows a compound Poisson distribution with parameter 1,000. Individual claim amounts follow a Gamma distribution with shape parameter a = 750 and rate parameter λ = 0.25. 1. Generate 20,000 simulated aggregate claim values for the insurer, using a random number generator seed of 955.Display the first five simulated claim values in your answer script using the R function head(). 2. Plot the empirical density function of the simulated aggregate claim values from Question 1, setting the x-axis range from 2,600,000 to 3,300,000 and the y-axis range from 0 to 0.0000045. 3. Suggest a suitable distribution, including its parameters, that approximates the simulated aggregate claim values from Question 1. 4. Generate 20,000 values from your suggested distribution in Question 3 using a random number generator seed of 955. Use the R function head() to display the first five generated values in your answer script. 5. Plot the empirical density…arrow_forward
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