Question

5. Two researchers are testing the null hypothesis that a population proportion p is equal to...

5. Two researchers are testing the null hypothesis that a population proportion p is equal to 0.30, and the alternative hypothesis that π = 0.30. Both take samples of 100 observations. Researcher A finds a sample proportion of 0.29, and Researcher B finds a sample proportion of 0.34. For which researcher will the p-value of the test be smaller?

a: Explain without actually doing any computations.

Homework Answers

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
The null hypothesis is that the true proportion of the population is equal to .40.A sample...
The null hypothesis is that the true proportion of the population is equal to .40.A sample of 120 observations revealed the sample proportion"p" was equal to .30.At the significance level 5est to see if the proportion is in fact different from .40.what will be the value of the critical value on the left
1). Conduct the appropriate hypothesis test with the following information, and provide your p-value as your...
1). Conduct the appropriate hypothesis test with the following information, and provide your p-value as your final answer.  The null hypothesis states that H0:= 250 versus the alternative Ha: > 250. The sample of size 26 resulted in a mean of 255.0 and a standard deviation of 8.79. Find the p-value in this example. 2). Conduct the appropriate hypothesis test with the following information, and provide your p-value as your final answer.  The null hypothesis states that H0: = 0.75 versus the...
Suppose that we have a population proportion P=0.30 and a random sample of size n=100 drawn...
Suppose that we have a population proportion P=0.30 and a random sample of size n=100 drawn from the population. What is the probability that the sample proportion is between 0.22 and 0.34​?
1. The P-value of a test of the null hypothesis is a. the probability the null...
1. The P-value of a test of the null hypothesis is a. the probability the null hypothesis is true. b. the probability the null hypothesis is false. c. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed. d. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed. 2. The P-value...
suppose you are testing the hypothesis H0: π=0.50H0: π=0.50 versus Ha: π>0.50Ha: π>0.50. You get a...
suppose you are testing the hypothesis H0: π=0.50H0: π=0.50 versus Ha: π>0.50Ha: π>0.50. You get a sample proportion of 0.54 and find that your p-value is 0.08. Now suppose you redid your study with each of the following changes. Will your new p-value be larger or smaller than the 0.08 your first obtained? You increase the sample size and still find a sample proportion of 0.54. Keeping the sample size the same, you take a new sample and find a...
Assume the claim was null hypothesis.  If the analysis contradicted the null about a population parameter then...
Assume the claim was null hypothesis.  If the analysis contradicted the null about a population parameter then the alternative is supported, i.e., the claim is not supported. True                 b.   False The null hypothesis is considered correct until proven otherwise. True                 b.   False If the claim is that a population parameter is not a specific value, the particular type of problem would be considered a one-tailed test. True                 b.   False If the null hypothesis is rejected, this tells us that the alternative is absolutely true. True                 b.   False Hypothesis testing...
Test the null hypothesis H0:p=0.5against the alternative hypothesis HA:p<0.5, when 89 individuals in a random sample...
Test the null hypothesis H0:p=0.5against the alternative hypothesis HA:p<0.5, when 89 individuals in a random sample of 218 have a characteristic of interest. Proportions are very sensitive to round-off error. Please ensure that you attempt to round p^as little as possible. a) Calculate the value of the z test statistic, for testing the null hypothesis that the population proportion is 0.5. Round your response to at least 3 decimal places. b) The p-value falls within which one of the following...
Test the null hypothesis H0:p=0.5against the alternative hypothesis HA:p<0.5, when 92 individuals in a random sample...
Test the null hypothesis H0:p=0.5against the alternative hypothesis HA:p<0.5, when 92 individuals in a random sample of 219 have a characteristic of interest. Proportions are very sensitive to round-off error. Please ensure that you attempt to round p^as little as possible. a) Calculate the value of the z test statistic, for testing the null hypothesis that the population proportion is 0.5. Round your response to at least 3 decimal places. b) The p-value falls within which one of the following...
1.Suppose you wish to test the null hypothesis that the mean of a population is 100...
1.Suppose you wish to test the null hypothesis that the mean of a population is 100 versus the alternative that the mean is not equal to 100. You then take a sample and calculate a sample of mean of 90. Which of the following conclusions is correct? a. You should reject the null hypothesis b. You should not reject the null hypothesis c. You should reject the null if n > 30, otherwise do not reject d.You should accept the...
Suppose we are testing null hypothesis that the mean of a normal distribution is 25 lbs...
Suppose we are testing null hypothesis that the mean of a normal distribution is 25 lbs against the alternative hypothesis that the mean is not 25 lbs using . We already know that the variance of the normal distribution is 4 lbs2 and we later find out that the true mean is actually 26 lbs.   Assuming we take n = 25 samples, what is the probability of a type II error for this test?