Question

In: Statistics and Probability

For a binomial parameter, p, we would like to test H 0 : p 0 =...

For a binomial parameter, p, we would like to test H 0 : p 0 = 0.05 against H 1 : p 0 ≠ 0.05 at the 5% level of significance. Assume we have a sample of 200 trials.

a. Is 200 large enough to use our large-sample test for p? Answer Yes or No and present your evidence as a series of inequalities.

b. What test statistic would you use for the test?

c. What sampling distribution would you use for the test?

d. State the decision rule you would use to perform the test

e. What is your conclusion if your sample contains 16 successes out of the 200 trials? Explain your choice.

f. Would your conclusion change if we changed H 1 to p 0 > 0.05 ? Answer Yes or No and explain.

Solutions

Expert Solution


Related Solutions

Consider the hypothesis test below. H 0:  p 1 -  p 2  0   H a:  p 1 -  p 2 >...
Consider the hypothesis test below. H 0:  p 1 -  p 2  0   H a:  p 1 -  p 2 > 0 The following results are for independent samples taken from the two populations. Sample 1 Sample 2 n1 = 100 n2 = 300 p1 = 0.24 p2 = 0.13 Use pooled estimator of p. What is the value of the test statistic (to 2 decimals)?   What is the  p-value (to 4 decimals)?   With   = .05, what is your hypothesis testing conclusion?
Use the sample data below to test the hypotheses H 0: p 1 = p 2...
Use the sample data below to test the hypotheses H 0: p 1 = p 2 = p 3 H a: Not all population proportions are the same Populations Response 1 2 3 Yes 200 200   92 No 150 200 108 where p i is the population proportion of yes responses for population i. Using a .05 level of significance. Use Table 12.4. Compute the value of the   2 test statistic (to 2 decimals). The p-value is - Select your answer...
Use the sample data below to test the hypotheses H 0: p 1 = p 2...
Use the sample data below to test the hypotheses H 0: p 1 = p 2 = p 3 H a: Not all population proportions are the same Populations Response 1 2 3 Yes 150 150 92 No 100 150 108 where p i is the population proportion of yes responses for population i. Using a .05 level of significance. Use Table 12.4. a. Compute the sample proportion for each population. Round your answers to two decimal places. p̄ 1...
Test the following hypotheses by using the χ 2 goodness of fit test. H 0: p...
Test the following hypotheses by using the χ 2 goodness of fit test. H 0: p A = 0.2, p B = 0.4, and p C = 0.4 Ha: The population proportions are not p A = 0.2 , p B = 0.4 , and p C = 0.4 A sample of size 200 yielded 60 in category A, 120 in category B, and 20 in category C. Use  = .01 and test to see whether the proportions are as stated...
Test the hypothesis using the​ P-value approach. Upper H 0 : p equals 0.50 versus Upper...
Test the hypothesis using the​ P-value approach. Upper H 0 : p equals 0.50 versus Upper H 1 : p less than 0.50 n equals 150 comma x equals 66 comma alpha equals 0.10 Perform the test using the​ P-value approach. ​P-valueequals nothing ​(Round to four decimal places as​ needed.)
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie...
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie ticket with a popcorn coupon is 0.772, and the probability of buying a movie ticket without a popcorn coupon is 0.228. If you buy 15 movie tickets, we want to know the probability that more than 10 of the tickets have popcorn coupons. (Consider tickets with popcorn coupons as successes in the binomial distribution.)
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie...
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie ticket with a popcorn coupon is 0.676, and the probability of buying a movie ticket without a popcorn coupon is 0.324. If you buy 25movie tickets, we want to know the probability that more than 16 of the tickets have popcorn coupons. (Consider tickets with popcorn coupons as successes in the binomial distribution.)
At a given flow parameter, we would like to increase G' from 0.1 to 0.2. Check...
At a given flow parameter, we would like to increase G' from 0.1 to 0.2. Check which of the following will result. A. The effect on pressure drop cannot be determined. B. The pressure drop will decrease. C. The pressure drop will increase. D. The pressure drop will remain the same.
A statistician would like to construct a hypothesis test of the mean using the P-value approach....
A statistician would like to construct a hypothesis test of the mean using the P-value approach. Rank the steps that the statistician can follow to carry out this hypothesis test at a level of significance of α. Note that there may be more than one correct answer. Step Rank Collect sample data Define the null and alternative hypotheses Draw a conclusion Calculate the P-value Define the distribution of the test statistic Calculate the test statistic
We would like to conduct a hypothesis test at the 5% level of significance to determine...
We would like to conduct a hypothesis test at the 5% level of significance to determine whether hockey players weigh more on average than baseball players. We record the weights of a random sample of 12 professional hockey players and 7 professional baseball players. Weights of athletes in both sports are known to follow normal distributions. Some summary statistics are given below: Sport n x s d Baseball 7 187.571 7.72 Hockey 12 195.583 18.39 Based on the data, we...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT