Introduction To Statistics And Data Analysis
6th Edition
ISBN: 9781337793612
Author: PECK, Roxy.
Publisher: Cengage Learning,
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Chapter 10.7, Problem 74E
We are only beginning to learn about the long-term effects of space travel on human health. A study published in 2016 (Nature Scientific Reports 6, Article number: 29901, nature.com/articles/srep29901, July 28, 2016, retrieved May 6, 2017) found that by 2014, seven of the U.S. astronauts who traveled to the moon during Apollo lunar missions of the 1960s and 1970s had died, and that three of these (3/7 = 43%) had died from cardiovascular disease (CVD). The overall U.S. death rate due to CVD for adults age 55 to 64 in 2013 was 27%. Do the data for lunar astronauts indicate that, as a group, they are at increased risk of death caused by CVD? Assume that it is reasonable to regard this sample as representative of the population of past, present, and future U.S. lunar astronauts.
- a. Explain why the data in this example should not be analyzed using a large-sample hypothesis test for a population proportion.
- b. Use the output at the top of the next page from the Shiny app “Randomization Test for One Proportion” to complete an appropriate hypothesis test.
Output for Exercise 10.74
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According to a 2006 survey conducted by the Center for Disease Control and Prevention (CDC), birth rates peak slightly between July and October each year. While a slight numerical increase in birth rates is often observed, this difference is assumed to be statistically non-significant. Thus, we would expect to see an equal number of people born during each month of the year in the United States. The "Birth Data.jasp" contains the birth months for 1380 babies (N = 1380) born during the year 2006 in the United States collected by the CDC. Conduct a Chi-Square Goodness of Fit Test at α = 0.05, to see if the number of babies born each month “fits” with the CDC’s assumptions about the population.
Identify the correct null hypothesis.
A.
H0: The number of babies born throughout the year is equal across all 12 months
B.
H0: The number of babies born during the summer months is greater than the number of babies born during the rest of the year
C.
HA: The number of babies born in…
According to a 2006 survey conducted by the Center for Disease Control and Prevention (CDC), birth rates peak slightly between July and October each year. While a slight numerical increase in birth rates is often observed, this difference is assumed to be statistically non-significant. Thus, we would expect to see an equal number of people born during each month of the year in the United States. The "Birth Data.jasp" contains the birth months for 1380 babies (N = 1380) born during the year 2006 in the United States collected by the CDC. Conduct a Chi-Square Goodness of Fit Test at α = 0.05, to see if the number of babies born each month “fits” with the CDC’s assumptions about the population.
Identify the correct alternative hypothesis
A.
H0: The number of babies born throughout the year is equal across all 12 months
B.
HA: The number of babies born in at least one month of the sample is equal to the number of babies born in at least one month of the population
C.
HA: The…
According to a 2006 survey conducted by the Center for Disease Control and Prevention (CDC), birth rates peak slightly between July and October each year. While a slight numerical increase in birth rates is often observed, this difference is assumed to be statistically non-significant. Thus, we would expect to see an equal number of people born during each month of the year in the United States. The "Birth Data.jasp" contains the birth months for 1380 babies (N = 1380) born during the year 2006 in the United States collected by the CDC. Conduct a Chi-Square Goodness of Fit Test at α = 0.05, to see if the number of babies born each month “fits” with the CDC’s assumptions about the population.
What is the value of X2-crit?
A. 5.72
B. 4.72
C. 19.68
D. 21.92
Chapter 10 Solutions
Introduction To Statistics And Data Analysis
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