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Example: An analyst is conducting a test involving the following hypotheses HM 100 vs. H: >...
Page 4 Example: An analyst is conducting a test involving the following hypotheses Horn = 100...
Page 4 Example: An analyst is conducting a test involving the following hypotheses Horn = 100 vs. Hu # 100 The population is known to be normally distributed with a standard deviation of 3. Assume that the sample size is 9. Suppose the acceptance region is 98.5 < X < 101.5, a. Find the Type I error b. Calculate the probability of making a Type II error if the population mean actually equals 103.
Page 4 Example: An analyst is conducting a test involving the following hypotheses Horn = 100...
Page 4 Example: An analyst is conducting a test involving the following hypotheses Horn = 100 vs. Hu # 100 The population is known to be normally distributed with a standard deviation of 3. Assume that the sample size is 9. Suppose the acceptance region is 98.5 < X < 101.5, a. Find the Type I error b. Calculate the probability of making a Type II error if the population mean actually equals 103.
#8. The following hypotheses are to be tested, with ?0 100 Suppose that the population standard...
#8. The following hypotheses are to be tested, with ?0 100 Suppose that the population standard deviation is 28 and that the sample size is n The following decision rule is to be used: 100 Fail to reject Ho if X 104; reject Ho if X> 104 If ? = 100, what is the probability of making a type I error? (b) If u 110, what is the probability of making a type I error ? tgel error? Falto reject...
need help: Suppose that you are testing the hypotheses H0 με 16 vs. HA: μ< 16....
need help:
Suppose that you are testing the hypotheses H0 με 16 vs. HA: μ< 16. A sample of size 16 results in a sample mean of 15.5 and a sample standard deviation of 20 a) What is the standard error of the mean? b) What is the critical value of t* for a 90% confidence interval? c) Construct a 90% confidence interval for μ. d) Based on the confidence interval, at α#0.05 can you reject Ho? Explain. a) The...
Suppose you want to test the following hypotheses: H0: p ≥ 0.4 vs. H1: p <...
Suppose you want to test the following hypotheses: H0: p ≥ 0.4 vs. H1: p < 0.4. A random sample of 1000 observations was taken from the population. Answer the following questions and show your Excel calculation for each question clearly: (a) Let p ̂ be the sample proportion. What is the standard error of sample proportion (i.e., σ_p ̂ ) if H0 is true? (b) If the sample proportion obtained were 0.38 (i.e., p ̂=0.38), what is its p-value?...
To test Ho: u 60 versus Hy: H <60, a random sample of size n 24...
To test Ho: u 60 versus Hy: H <60, a random sample of size n 24 is obtained from a population that is known to be normally distributed. Complete parts (a) through (d) below. 囲Click here to view the t-Distribution Area in Right Tail. (a) If x 56.4 and s 12.4, compute the test statistic h" □ (Round to three decimal places as needed.)
1. An automobile tire manufacturer would like to claim that the tread life (in miles) of...
1. An automobile tire manufacturer would like to claim that the tread life (in miles) of a certain type of tire is greater than 30,000 miles. Assuming a normal population with 1500 miles answer the following for a test of the hypotheses Ho :-30,000 versus Ha : μ > 30,000 a) Ifa -.01 specify the rejection region as an inequality involving the value of the test statistic b) Based on a sample size of n 25, the corresponding rejection region...
help thank you :) 4 pts Question 9 9. In a test of hypotheses H :u=...
help thank you :)
4 pts Question 9 9. In a test of hypotheses H :u= 1873 vs. H:< 1873, the rejection region is the interval (-00, -2.896), the value of the sample mean computed from a sample of size 9 is m = 1792, and the value of the test statistic is t = -2.655. The correct decision and justification are Do not reject H, because the sample is small. Do not reject H, because -2.896 < -2.655. Reject...
A production line operation is tested for filling weight accuracy using the following hypotheses. Hypothesis Conclusion...
A production line operation is tested for filling weight accuracy using the following hypotheses. Hypothesis Conclusion and Action H 0: = 16 Filling okay, keep running H a: 16 Filling off standard; stop and adjust machine The sample size is 39 and the population standard deviation is = 0.9. Use = .05. Do not round intermediate calculations. What would a Type II error mean in this situation? SelectConcluding that the mean filling weight is not 16 ounces when it actually isConcluding that the...
A production line operation is tested for filling weight accuracy using the following hypotheses. Hypothesis Conclusion...
A production line operation is tested for filling weight accuracy using the following hypotheses. Hypothesis Conclusion and Action H 0: = 16 Filling okay, keep running H a: 16 Filling off standard; stop and adjust machine The sample size is 39 and the population standard deviation is = 0.9. Use = .05. Do not round intermediate calculations. What would a Type II error mean in this situation? SelectConcluding that the mean filling weight is not 16 ounces when it actually isConcluding that the...
Page 4 Example: An analyst is conducting a test involving the following hypotheses Horn = 100 vs. Hu # 100 The population is known to be normally distributed with a standard deviation of 3. Assume that the sample size is 9. Suppose the acceptance region is 98.5 < X < 101.5, a. Find the Type I error b. Calculate the probability of making a Type II error if the population mean actually equals 103.
Page 4 Example: An analyst is conducting a test involving the following hypotheses Horn = 100 vs. Hu # 100 The population is known to be normally distributed with a standard deviation of 3. Assume that the sample size is 9. Suppose the acceptance region is 98.5 < X < 101.5, a. Find the Type I error b. Calculate the probability of making a Type II error if the population mean actually equals 103.
#8. The following hypotheses are to be tested, with ?0 100 Suppose that the population standard deviation is 28 and that the sample size is n The following decision rule is to be used: 100 Fail to reject Ho if X 104; reject Ho if X> 104 If ? = 100, what is the probability of making a type I error? (b) If u 110, what is the probability of making a type I error ? tgel error? Falto reject...
need help:
Suppose that you are testing the hypotheses H0 με 16 vs. HA: μ< 16. A sample of size 16 results in a sample mean of 15.5 and a sample standard deviation of 20 a) What is the standard error of the mean? b) What is the critical value of t* for a 90% confidence interval? c) Construct a 90% confidence interval for μ. d) Based on the confidence interval, at α#0.05 can you reject Ho? Explain. a) The...
To test Ho: u 60 versus Hy: H <60, a random sample of size n 24 is obtained from a population that is known to be normally distributed. Complete parts (a) through (d) below. 囲Click here to view the t-Distribution Area in Right Tail. (a) If x 56.4 and s 12.4, compute the test statistic h" □ (Round to three decimal places as needed.)
1. An automobile tire manufacturer would like to claim that the tread life (in miles) of a certain type of tire is greater than 30,000 miles. Assuming a normal population with 1500 miles answer the following for a test of the hypotheses Ho :-30,000 versus Ha : μ > 30,000 a) Ifa -.01 specify the rejection region as an inequality involving the value of the test statistic b) Based on a sample size of n 25, the corresponding rejection region...
help thank you :)
4 pts Question 9 9. In a test of hypotheses H :u= 1873 vs. H:< 1873, the rejection region is the interval (-00, -2.896), the value of the sample mean computed from a sample of size 9 is m = 1792, and the value of the test statistic is t = -2.655. The correct decision and justification are Do not reject H, because the sample is small. Do not reject H, because -2.896 < -2.655. Reject...
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