Question

In: Statistics and Probability

1.Suppose a student is trying to construct a rejection region with an area of 0.05 in...

1.Suppose a student is trying to construct a rejection region with an area of 0.05 in the right tail. What critical value should she use?

  • Round your answer to three decimal places.

2. A researcher wants to test to see if husbands are significantly older than their wives. To do this, he collects the ages of husbands and pairs them with the ages of their respective wives for a random set of married couples. Suppose that data were collected for a random sample of 12 couples, where each difference is calculated by subtracting the age of the wife from the age of the husband. Assume that the ages are normally distributed. The test statistic is t≈1.434, α=0.05, the corresponding rejection region is t>1.796, the null hypothesis is H0:μd=0, and the alternative hypothesis is Ha:μd>0.

Which of the following statements are accurate for this hypothesis test in order to evaluate the claim that the true mean difference between the age of the husband and the age of the wife is greater than zero?

3.A data analytics firm hired by a Republican candidate running for political office wants to test whether its practices were successful in increasing voter turnout among registered Republicans. Suppose that data were collected for a randomly selected set of 10 cities, where each difference is calculated by subtracting the percent voter turnout before the candidate ran for office from the percent voter turnout from after the election. Assume that the populations are normally distributed. Using a test statistic of t≈5.412, the significance level α=0.05, and the corresponding p-value less than 0.01, draw a conclusion for the appropriate hypothesis test, where the null hypothesis is H0:μd=0 and the alternative hypothesis is Ha:μd>0.

Solutions

Expert Solution


Related Solutions

QUESTION 1 The rejection region for an F test: is not affected by the number of...
QUESTION 1 The rejection region for an F test: is not affected by the number of samples. can be in an upper tail or a lower tail. is partially determined by the value of alpha. is established by an ANOVA table. 2 points    QUESTION 2 Consider the partial ANOVA table shown below: Source of Variation DF SS MS F Between Treatments 64 8 Within Treatments (Error) 2 Total 100 The number of degrees of freedom corresponding to within treatments...
1. drawn bell shaped curved showing rejected/ non rejection with an alpha value of 0.05
  1. drawn bell shaped curved showing rejected/ non rejection with an alpha value of 0.05 2. determine regression of the line equation y=bx+a 3. Find a and b 4. let 20 be x and what it indicated 5. Then set it up for 95% prediction interval x y xy x^2 y^2 19 7 133 361 49 23 10 230 529 100 25 3 75 625 9 15 12 180 225 144 67 4 268 4489 16 54 2 108...
A) A test statistic value of 2.14 puts it in the rejection region. If the test...
A) A test statistic value of 2.14 puts it in the rejection region. If the test statistic is actually 2.19 then we know the p-value is less than the significance level for the test. True or false? Explain. B) The null hypotheses is false. The p-value is less than the significance level. Do we have a type 1 error, a Type 2 error, or a correct decision. Give an explanation. C) For a right tailed test a test statistic of...
Suppose that the probability that any random student graduates with honors is 0.05. Also, we know...
Suppose that the probability that any random student graduates with honors is 0.05. Also, we know that the probability of a student that graduated with honors, getting into graduate school is 0.80. The probability that a student that did not graduate with honors gets into graduate school is 0.10. TRUE or FALSE: Given that a random student got into graduate school, it is more likely that the student graduated with honors. True False
How is the rejection region defined, and how is that related to the p value? When...
How is the rejection region defined, and how is that related to the p value? When do you reject or fail to reject the null hypothesis? Why do you think statisticians are asked to complete hypothesis testing? Can you think of examples in courts, in medicine, or in your area?
How is the rejection region defined, and how is that related to the p value? When...
How is the rejection region defined, and how is that related to the p value? When do you reject or fail to reject the null hypothesis? Why do you think statisticians are asked to complete hypothesis testing? Can you think of examples in courts, in medicine, or in your area?
How is the rejection region defined, and how is that related to the p value? When...
How is the rejection region defined, and how is that related to the p value? When do you reject or fail to reject the null hypothesis as related to the p value?
The decision rule (aka, the rejection region) for testing the following pair of hypotheses at the...
The decision rule (aka, the rejection region) for testing the following pair of hypotheses at the .01 level of significance when a sample size of 45 is taken. H0: p = .45 Ha: p ≠ .45 P (p̂ < 0.35) where p̂ is approximately normally distributed with p = .33 and n = 100. c. Determine the p-value for testing: H0: µ = 43 Ha: µ ≠ 43 when a random sample of size 30 was taken from a normal...
The decision rule (aka, the rejection region) for testing the following pair of hypotheses at the...
The decision rule (aka, the rejection region) for testing the following pair of hypotheses at the .01 level of significance when a sample size of 45 is taken. H0: p = .45 Ha: p ≠ .45 P (p̂ < 0.35) where p̂ is approximately normally distributed with p = .33 and n = 100. Determine the p-value for testing: H0: µ = 43 Ha: µ ≠ 43 when a random sample of size 30 was taken from a normal population...
Determine the effect of expanding the rejection region on a hypothesis test. A)Decreases the value of...
Determine the effect of expanding the rejection region on a hypothesis test. A)Decreases the value of type I and type II errors. B)Decreases the value of type I error. C)Decreases the value of type II error. D)None of the above
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT