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Question 13 of 21 The null hypothesis is a claim about a:     A. parameter, where...

Question 13 of 21

The null hypothesis is a claim about a:

    A. parameter, where the claim is assumed to be false until it is declared true

    B. parameter, where the claim is assumed to be true until it is declared false

    C. statistic, where the claim is assumed to be false until it is declared true

    D. statistic, where the claim is assumed to be true until it is declared false

Question 14 of 21

In a hypothesis test, the probability of committing a Type I error is called the:

    A. confidence level

    B. confidence interval

    C. significance level

    D. beta error

Question 15 of 21

The p-value is the:

    A. largest significance level at which the null hypothesis can be rejected

    B. largest significance level at which the alternative hypothesis can be rejected

    C. smallest significance level at which the null hypothesis can be rejected

    D. smallest significance level at which the alternative hypothesis can be rejected

Question 16 of 21

Suppose that the batting average for all major league baseball players after each team completes 100 games through the season is 0.248 and the standard deviation is 0.034. The null hypothesis is that American League infielders average the same as all other major league players. A sample of 46 players taken from the American League reveals a mean batting average of 0.255. What is the value of the test statistic, z (rounded to two decimal places)?

    A. 1.40

    B. 1.58

    C. 1.89

    D. 1.98

Homework Answers

Answer #1

Solution :

Question 13 of 21

B. parameter, where the claim is assumed to be true until it is declared false

Question 14 of 21

In a hypothesis test, the probability of committing a Type I error is called the:

Type I error is called as significance level .

    C. significance level

Question 15 of 21

C. smallest significance level at which the null hypothesis can be rejected

Question 16 of 21

Test statistic = z

= ( - ) / / n

= (0.255 - 0.248) / 0.034 / 46

Test statistic = 1.40

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