Math  /  Data & Statistics

QuestionIn his book Outliers, author Malcolm Gladwell argues that more baseball players have birth dates in the months immediately following July 31 , because that was the age cutoff date for non-school baseball leagues. Here is a sample of frequency counts of months of birth dates of American-born professional baseball players starting with January:384, 329, 357, 348, 339, 312,313,505,412,428,401,362312,313,505,412,428,401,362. 만 Using a 0.05 significance level, is there sufficient evidence to warrant rejection of the claim that American-born professional baseball players are born in different months with the same frequency? Do the sample values appear to support the author's claim?
Identify the null and alternative hypotheses. Choose the correct answer below. A. H0\mathrm{H}_{0} : At least one month has a different frequency of American-born professional baseball player birth dates than the other months. H1\mathrm{H}_{1} : The months immediately following July 31 have different frequencies of American-born professional baseball player birth dates than the other months. B. H0\mathrm{H}_{0} : Birth dates of American-born professional baseball players occur with the same frequency in all months of the year. H1\mathrm{H}_{1} : The months immediately following July 31 have different frequencies of American-born professional baseball player birth dates than the other months. C. H0\mathrm{H}_{0} : Birth dates of American-born professional baseball players occur with the same frequency in all months of the year. H1\mathrm{H}_{1} : At least one month has a different frequency of American-born professional baseball player birth dates than the other months. D. H0H_{0} : At least one month has a different frequency of American-born professional baseball player birth dates than the other months. H1\mathrm{H}_{1} : All months have different frequencies of American-born professional baseball player birth dates.

Studdy Solution

STEP 1

1. We are testing whether the birth dates of American-born professional baseball players occur with the same frequency in all months.
2. The significance level for the test is α=0.05 \alpha = 0.05 .

STEP 2

1. Identify the null and alternative hypotheses.
2. Determine the correct answer choice based on the hypotheses.

STEP 3

Identify the null hypothesis (H0 H_0 ) and alternative hypothesis (H1 H_1 ).
- The null hypothesis (H0 H_0 ) typically states that there is no difference or effect. In this context, it would state that birth dates occur with the same frequency in all months. - The alternative hypothesis (H1 H_1 ) is what we are testing for, which is that there is a difference in frequencies.

STEP 4

Based on the problem statement, the null hypothesis should be that birth dates occur with the same frequency in all months, and the alternative hypothesis should be that at least one month has a different frequency.

STEP 5

Choose the correct answer based on the hypotheses identified.
- The correct choice is: C. H0 \mathrm{H}_{0} : Birth dates of American-born professional baseball players occur with the same frequency in all months of the year. H1 \mathrm{H}_{1} : At least one month has a different frequency of American-born professional baseball player birth dates than the other months.
The correct answer is:
C \boxed{\text{C}}

Was this helpful?

Studdy solves anything!

banner

Start learning now

Download Studdy AI Tutor now. Learn with ease and get all help you need to be successful at school.

ParentsInfluencer programContactPolicyTerms
TwitterInstagramFacebookTikTokDiscord