Consider a sample of 49 football games, where 27 of them were won by the home team. Use a 0.01 significance level to test the claim that the probability that the home team wins is greater than one-half.Identify the null and alternative hypotheses for this test. Choose the correct answer below.O A. Ho p=05H, p 0.5О В. Но р> 0. 5H, p=0.5O C. Ho p=0.5Hqip<0.5O D. Ho p=0.5H p>0.5Identify the test statistic for this hypothesis test.The test statistic for this hypothesis test is(Round to two decimal places as needed.)Identify the P-value for this hypothesis test.The P-value for this hypothesis test is(Round to three decimal places as needed.)Identify the conclusion for this hypothesis test.StatcrunchO Type here to search0 日問hpf4 IOIf8?f5f6f7f1of1f12insertprt scdeleteesc14411$&34backspacehome{EYpg uptabJKenterAcaps lockpause* shiftshift00%24米%23

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Answered: Consider a sample of 49 football games,…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A coin-operated drink machine was designed to discharge a mean of 9 ounces of coffee per cup. Suppose that we want to carry out a hypothesis test to see if the true mean discharge differs from 9. State the null hypothesis H, and the alternative hypothesis H, that we would use for this test. Ho: 0 H1: 0 OsO O>o O20 ?
When one changes the significance level of a hypothesis test from 0.10 to 0.05, which of the following will happen? Check all that apply. A. The chance that the null hypothesis is true changes from 0.10 to 0.05. OB. The test becomes less stringent to reject the null hypothesis (i.e. it becomes easier to reject the null hypothesis). c. It becomes harder to prove that the null hypothesis is true. OD. The chance of committing a Type I error changes from 0.10 to 0.05. ⒸE. The chance of committing a Type II error changes from 0.10 to 0.05. OF. It becomes easier to prove that the null hypothesis is true. ⒸG. The test becomes more stringent to reject the null hypothesis (i.e., it becomes harder to reject the null hypothesis).
Suppose a chef claims that her meatball weight is less than 3 ounces, on average. Several of her customers do not believe her, so the chef decides to do a hypothesis test, at a 10% significance level, to persuade them. She cooks 15 meatballs. The mean weight of the sample meatballs is 3.1 ounces. The chef knows from experience that the standard deviation for her meatball weight is 0.6 ounces. What is the competing hypothesis in symbolic notation?
Three items are drawn in randomly from a population of 7 items. The item drawn may be defective or non-defective. Random variable is the occurrence of non-defective items. Total defective items in the population are two.a. Make a frequency distribution table of the random variable. b. Find the expected value of non-defective items in the random experiment.
Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.476 for a negative test result? Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) Positive test results 16 39 Negative test results 36 14 The probability that a randomly selected polygraph test subject was not lying is (Type an integer or decimal rounded to three decimal places as needed.) Is the result close to the probability, rounded to three decimal places, of 0.476 for a negative test result? because there is a 0.050 absolute difference between the probability of a true response and the probability of a negative test result.
A random sample of 843 births included 432 boys. Use a 0.10 significance level to test the claim that 50.6% of newborn babies are boys. Do the results support the belief that 50.6% of newborn babies are boys? ..... Identify the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho: p=0.506 H1: p>0.506 О В. Но: р30.506 H1: p<0.506 ОС. Но: р3D0.506 H1: p#0.506 O D. Ho: p#0.506 H1: p=0.506
A news article that you read stated that 51% of voters prefer the Democratic candidate. You think that the actual percent is smaller. 122 of the 248 voters that you surveyed said that they prefer the Democratic candidate. What can be concluded at the 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? ✓ Select an answer H₁: ? Select an answer (please enter a decimal) (Please enter a decimal) c. The test statistic ? d. The p-value = e. The p-value is ? ✓ a f. Based on this, we should Select an answer the null hypothesis. (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.)
Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.4450.445 for a negative test result? Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) Positive test results 1717 4444 Negative test results 3535 1414 The probability that a randomly selected polygraph test subject was not lying is nothing. (Type an integer or decimal rounded to three decimal places as needed.) Is the result close to the probability, rounded to three decimal places, of 0.445 for a negative test result?
Also identify if we reject or fail to reject H0
Test the claim about the population mean, u, at the given level of significance using the given sample statistics. Claim: u= 40; a = 0.06; o = 3.41. Sample statistics: x = 39.9, n = 71 Identify the null and alternative hypotheses. Choose the correct answer below. O A. Ho: H>40 О В. Но: н- 40 Hai H= 40 Ha: H 40 Ο F. Ho: μ# 40 Ha:H= 40
A random sample of 818 births included 435 boys. Use a 0.05 significance level to test the claim that 50.6% of newborn babies are boys. Do the results support the belief that 50.6% of newborn babies are boys? Identify the null and alternative hypotheses for this test. Choose the correct answer below. A. H0: p=0.506 H1: p>0.506 B. H0: p≠0.506 H1: p=0.506 C. H0: p=0.506 H1: p≠0.506 D. H0: p=0.506 H1: p<0.506 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is: (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is : (Round to three decimal places as needed.) Identify the conclusion for this hypothesis test. A. Fail to reject H0. There is not sufficient evidence to warrant rejection of the claim that 50.6% of newborn babies are boys. B.Fail to reject H0. There is sufficient evidence to…

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