Question

In: Statistics and Probability

A study in Sweden looked at former elite soccer players and people of the same age...

A study in Sweden looked at former elite soccer players and people of the same age who did not play soccer. The table below shows the number of individuals in each group who had arthritis of the hip or knee by their mid-50’s. At α = .05, is the occurrence of arthritis related to playing soccer? Use the p-value method.

Elite Non-elite Did Not Play Totals
Arthritis 10 9 24 43
No Arthritis 61 206 548 815
Totals 71 215 572

a) What are the null and alternative hypotheses?

H0:

H1:

b) Compute expected counts

Elite Non-Elite Did Not Play
Arthritis
No Arthritis

c) What are the required counts for the Chi-square test? Are those counts satisfied?

d) Compute the test statistic, degrees of freedom, and P-value.

Χ2 =

d. f. =

P-value =

e) Make a conclusion.

Solutions

Expert Solution

orchestra answered 1 year ago
Next > < Previous

Related Solutions

Two soccer players, Mary and Jane, begin running from nearly the same point at the same...
Two soccer players, Mary and Jane, begin running from nearly the same point at the same time. Mary runs in an easterly direction at 4.34 m/s, while Jane takes off in a direction 60.9o north of east at 5.71 m/s. How long is it before they are 26.7 m apart? Tries 0/8 What is the velocity of Jane relative to Mary? Enter first the x-component and then the y-component. Tries 0/8 How far apart are they after 3.96 s?
Do you think U.S. women's soccer players should be paid the same as male players? What...
Do you think U.S. women's soccer players should be paid the same as male players? What information will you need to help defend your arguments from a financial perspective
A researcher at a medical college conducted a study of 60 randomly selected male soccer players...
A researcher at a medical college conducted a study of 60 randomly selected male soccer players and concluded that frequently "heading" the ball in soccer lowers players' IQs. The soccer players were divided into two groups, based on whether they averaged 10 or more headers per game. Mean IQs were reported in the article, but the sample sizes and standard deviations were not given. Suppose that these values were as given in the accompanying table. n Sample Mean Sample sd...
A study of working actors looked at age and gender. One sample of 50 male actors...
A study of working actors looked at age and gender. One sample of 50 male actors had a mean age of 23 and a standard deviation of 2. The other sample included 50 female actors with a mean age of 24 and a standard deviation of 3. Estimate with 87% confidence the difference between the average ages of working male (μ1) and female (μ2) actors. Round answers to the nearest hundredth. < μ1 − μ2<
A study of working actors looked at age and gender. One sample of 55 male actors...
A study of working actors looked at age and gender. One sample of 55 male actors had a mean age of 25 and a standard deviation of 4. The other sample included 55 female actors with a mean age of 28 and a standard deviation of 2. Estimate with 91% confidence the difference between the average ages of working male (μ1μ1) and female (μ2μ2) actors. Round answers to the nearest hundredth. < μ1−μ2μ1-μ2 <
A professor wants to conduct a study about male soccer players, ages 14-29, who play up...
A professor wants to conduct a study about male soccer players, ages 14-29, who play up to five times per week. Of particular concern is whether or not a player averaged at least 8 headers per game. The psychologist randomly sampled 70 male soccer players, ages 14-29, who played up to five times per week, then recorded whether or not the player averaged at least 8 headers per game. -What is the variable? Is the variable qualitative or quantitative? Briefly...
Because elderly people may have difficulty standing to have their height measured, a study looked at...
Because elderly people may have difficulty standing to have their height measured, a study looked at the relationship between overall height and height to the knee. Here are data (in centimeters) for five elderly men: Knee Height ? 56.5 46.3 41.2 47.7 52.7 Height ? 192.4 151.8 149.7 162.1 174.5 What is the equation of the least-squares regression line for predicting height from knee height? ANSWER: ?̂ =
Because elderly people may have difficulty standing to have their height measured, a study looked at...
Because elderly people may have difficulty standing to have their height measured, a study looked at the relationship between overall height and height to the knee. Here are data (in centimeters) for five elderly men: Knee Height x 57.2 45.7 42.9 45.6 52.4 Height y 191.6 153.7 145.2 163.6 174.3 What is the equation of the least-squares regression line for predicting height from knee height? ANSWER: ŷ =
When people turn to for news is different for various age groups. Suppose that a study...
When people turn to for news is different for various age groups. Suppose that a study conducted on this issue was based on 200 respondents who were between between the ages of 36 and 50, and 200 respondents who were above 50. Of the 200 respondents who were between 36 and 50, 82 got their news primarily from newspapers. Of the 200 respondents who were above age 50, 104 got their news primarily from newspapers. a. Construct 2×2 contingency table....
A study of consumer smoking habits includes 168 people in the 18-22 age bracket (48 of...
A study of consumer smoking habits includes 168 people in the 18-22 age bracket (48 of whom smoke), 131 people in the 23-30 age bracket (36 of whom smoke), and 99 people in the 31-40 age bracket (28 of whom smoke). If one person is randomly selected from this sample, find the probability of getting someone who is age 18-22 or does not smoke. Group of answer choices 0.839 0.302
ADVERTISEMENT
Subjects
ADVERTISEMENT
Latest Questions
ADVERTISEMENT