Question

A book claims that more hockey players are born in January through March than in October...

A book claims that more hockey players are born in January through March than in October through December. The following data show the number of players selected in a draft of new players for a hockey league according to their birth month. Is there evidence to suggest that hockey​ players' birthdates are not uniformly distributed throughout the​ year? Use the level of significance α=0.01.

Hockey League Players' Birth Month

Birth Month

​January-March

​April-June

​July-September

​October-December

Frequency

61

56

25

32

1. What are the null hypothesis and alternative​ hypotheses?

A. H0​: The distribution of hockey​ players' birth months is not uniformly distributed.

H1​: The distribution of hockey​ players' birth months is uniformly distributed.

B. H0​: The distribution of hockey​ players' birth months is uniformly distributed.

H1​: The distribution of hockey​ players' birth months is not uniformly distributed.

C. H0​: The distribution of hockey​ players' birth months is uniformly distributed.

H1​: More hockey players are born in the first half of the year than the second half.

D. H0​:The distribution of hockey​ players' birth months is uniformly distributed.

H1​: More hockey players are born in​ January-March than​ October-December.

2. Compute the expected counts for each birth month. The total number of hockey players is 174.

Birth Month

Observed Count

Expected Count

​January-March

61

_______

​April-June

56

_______

​July-September

25

_______

​October-December

32

_______

​(Round to two decimal places as​ needed.)

3. What is the test​ statistic?___________


4. ​P-value=________What is the​ P-value of the​ test?

​(Round to three decimal places as​ needed.)

5. Based on the​ results, do the hockey​ league's players' birth months follow a uniform​ distribution? Use the level of significance α=0.01.

A. Yes​, because the calculated​ P-value is less than the given α level of significance.

B. No​, because the calculated​ P-value is greater than the given α level of significance.

C. Yes​, because the calculated​ P-value is greater than the given α level of significance.

D. No​, because the calculated​ P-value is less than the given α level of significance.

Homework Answers

Answer #1

The statistical software output for this problem is:

Hence,

1. Hypotheses: Option B is correct.

2. Expected frequency of each cell = 174/4 = 43.5

Hence,

The complete table will be:

Birth Month

Observed Count

Expected Count

​January-March

61

43.5

​April-June

56

43.5

​July-September

25

43.5

​October-December

32

43.5

3. Test statistic = 21.54

4. P - value = 0.000

5. Option A is correct.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Data lists number of baseball players with birth dates in the first four months of the...
Data lists number of baseball players with birth dates in the first four months of the year. Month January February March April Number of players 387 329 367 345 Find the P-value to test the claim that baseball players are born in the first four months of the year with the same frequency. View keyboard shortcuts
Treat the number of months X after January 1 that someone is born as uniformly distributed...
Treat the number of months X after January 1 that someone is born as uniformly distributed from 0 to 12. Round all answers to 4 decimal places where possible. What is the distribution of X ? X ~ U( , ) Suppose that 36 people are surveyed. What is the distribution of ¯ x for this sample? ¯ x ~ N( , ) What is the probability that the average birth month of the 36 people will be more than...
7.) Treat the number of months X after January 1 that someone is born as uniformly...
7.) Treat the number of months X after January 1 that someone is born as uniformly distributed from 0 to 12. Round all answers to 4 decimal places where possible. What is the distribution of XX? XX ~ U( , ) Suppose that 38 people are surveyed. What is the distribution of ¯xx¯ for this sample? ¯xx¯ ~ N( , ) What is the probability that the average birth month of the 38 people will be more than 4.8?
The salaries of a random sample of 50 major league baseball players for 2012 are 3.44...
The salaries of a random sample of 50 major league baseball players for 2012 are 3.44 million dollars. Assuming the distribution of salaries for all major league baseball players is normally distributed with a standard deviation of $0.712 million, test the claim that the mean salary of major league baseball players is less than 4 million dollars. Use a significance level of 0.05. What is the test statistic? What is the critical value? What is the p-value? What is the...
The football players continue their hypothesis test by finding the p-value to make a conclusion about...
The football players continue their hypothesis test by finding the p-value to make a conclusion about the null hypothesis. H0:μ=275; Ha:μ<275, which is a left-tailed test. α=0.025. z0=−1.49 Which is the correct conclusion of Jose's one-mean hypothesis test at the 2.5% significance level? Use the Standard Normal Table for the critical values: z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 ... ... ... ... ... ... ... ... ... ... ... −1.6 0.0455 0.0465 0.0475 0.0485 0.0495...
The manufacturer of a sports car claims that the fuel injection system lasts 48 months before...
The manufacturer of a sports car claims that the fuel injection system lasts 48 months before it needs to be replaced. A consumer group tests this claim by surveying a random sample of 10 owners who had the fuel injection system replaced. The ages of the cars at the time of replacement were (in months): 23 42 49 48 53 46 30 51 42 52 Use the sample data to calculate the mean age of a car when the fuel...
A researcher wanted to determine whether certain accidents were uniformly distributed over the days of the...
A researcher wanted to determine whether certain accidents were uniformly distributed over the days of the week. The data show the day of the week for nequals=303303 randomly selected accidents. Is there reason to believe that the accident occurs with equal frequency with respect to the day of the week at the alphaαequals=0.050.05 level of​ significance? LOADING... Click the icon to view the table. Let p Subscript ipi ​= the proportion of accidents on day ​i, where i​ = 1...
A genetic experiment involving peas yielded one sample of offspring consisting of 420 green peas and...
A genetic experiment involving peas yielded one sample of offspring consisting of 420 green peas and 149 yellow peas. Use a 0.01 significance level to test the claim that under the same circumstances, 24 % of offspring peas will be yellow. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution. What are...
The manufacturer of a sports car claims that the fuel injection system lasts 48 months before...
The manufacturer of a sports car claims that the fuel injection system lasts 48 months before it needs to be replaced. A consumer group tests this claim by surveying a random sample of 10 owners who had the fuel injection system replaced. The ages of the cars at the time of replacement were (in months): 23 46 41 48 53 46 30 51 42 52 (i) Use your calculator to calculate the mean age of a car when the fuel...
A hospital reported that the normal death rate for patients with extensive burns (more than 40%...
A hospital reported that the normal death rate for patients with extensive burns (more than 40% of skin area) has been significantly reduced by the use of new fluid plasma compresses. Before the new treatment, the mortality rate for extensive burn patients was about 60%. Using the new compresses, the hospital found that only 44 of 95 patients with extensive burns died. Use a 1% level of significance to test the claim that the mortality rate has dropped since using...