Which of the following is NOT true about the level of significance of a hypothesis test?...
Which of the following is NOT true about the level of significance of a hypothesis test?
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The larger the significance, the higher the risk that we make an error |
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The level of significance is the maximum risk we are willing to accept in making an error. |
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The significance level is also called the α level |
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The significance level is determined by your sample size |
Homework Answers
The larger the significance, the higher the risk that we make an error
the Above statement is NOT true about the level of significance of a hypothesis test
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Which of the following is NOT true about the level of
significance of a hypothesis test?...
A consumer advocate conducted a hypothesis test at the 5% significance level to determine if the...
A consumer advocate conducted a hypothesis test at the 5% significance level to determine if the mean level of impurities in a bottled water product is higher than themanufacturer’s advertised value of 20 parts per million. The advocate collected 25samples, measured the impurities, calculated a test statistic and obtained a p-value of 0.0423. Which of the following correctly states the advocate’s conclusion and reason for the conclusion? A. Reject the null hypothesis because the p-value is smaller than the significance...
Which of the following statements about α level is true? a. As α level decreases, the...
Which of the following statements about α level is true? a. As α level decreases, the critical F value will decrease as well. b. As α level decreases, the computed F value will increase. c. If α level is smaller than the p value, then the null hypothesis is rejected. d. α level describes the highest risk of Type I error we are willing to take.
Which of the following statements is FALSE? a.) The power of a hypothesis test is the...
Which of the following statements is FALSE? a.) The power of a hypothesis test is the probability of not making a Type II error. b.) Alpha (α) is equal to the probability of making a Type I error. c.) The probability of rejecting the null hypothesis when the null hypothesis is true is called a Type I Error. d.) A smaller sample size would increase the effectiveness of a hypothesis test.
Which statement best describes the significance level of a hypothesis test? The probability of obtaining a...
Which statement best describes the significance level of a hypothesis test? The probability of obtaining a sample under the assumption that the null hypothesis is true that is more unusual than the observed sample b. The probability of making a Type 1 error The probability of making a Type Il error. d. The probability of correctly rejecting the null hypothesis.
1. a) For a test at a fixed significance level, and with given null and alternative...
1. a) For a test at a fixed significance level, and with given null and alternative hypotheses, what will happen to the power as the sample size increases? b) For a test of a given null hypothesis against a given alternative hypothesis, and with a given sample size, describe what would happen to the power of the test if the significance level was changed from 5% to 1%. c) A test of a given null hypothesis against a given alternative...
A significance level for a hypothesis test is given as . Interpret this value. The probability of...
A significance level for a hypothesis test is given as . Interpret this value. The probability of making a Type II error is .99. The smallest value of α that you can use and still reject H0 is .01. There is a 1% chance that the sample will be biased. The probability of making a Type I error is .01.
Which of the following statements are true about the significance level a of a test? 1. It is the probability that we f...
Which of the following statements are true about the significance level a of a test? 1. It is the probability that we fail to reject Ho when it is false. II. It is the probability that we reject Ho when it is true. III. The probability for us to make a Type Il error is 1 - a. O ll only o Tonly O all are true O II and III O III only
Perform a hypothesis test for the following sample. The significance level alpha is 5%. Sample: 7.9,8.3,8.4, 9.6,7.7, 8...
Perform a hypothesis test for the following sample. The significance level alpha is 5%. Sample: 7.9,8.3,8.4, 9.6,7.7, 8.1, 6.8,7.5,8.6,8,7.8,7.4,8.4,8.9,8.5,9.4,6.9,7.7. Test if mean 8.7. Assume normality of the data. 1 Formulate the hypothesis by entering the corresponding signs:"<" ">", "-" or "メ" and numbers. Hint: in your answers use "<>" instead of " " HO: mean H1:mean 2 p-value (rounded to three decimal places) 3 Conclusions, based on the results, which of the following options is correct: A Reject H0 and...
Which of the following statements is FALSE? A.) A larger sample size would increase the effectiveness...
Which of the following statements is FALSE? A.) A larger sample size would increase the effectiveness of a hypothesis test. B.) Alpha (α) is equal to the probability of making a Type I error. C.) Expanding the sample size can increase the power of a hypothesis test. D.) Reducing the significance level (α) can increase a test's effectiveness.
1. In hypothesis testing, the hypothesis that is assumed to be true for the purpose of...
1. In hypothesis testing, the hypothesis that is assumed to be true for the purpose of testing is called the hypothesis 2. (Circle the correct response) In hypothesis testing, critical values used to make a rejection decision regarding the null hypothesis are determined by the nature of the hypothesis test (two-tail vs. one-tail) and the d. significance level a. sample size b. population parameter c. target value 3. (Circle the correct response) In the process of hypothesis testing, the test...
Which statement best describes the significance level of a hypothesis test? The probability of obtaining a sample under the assumption that the null hypothesis is true that is more unusual than the observed sample b. The probability of making a Type 1 error The probability of making a Type Il error. d. The probability of correctly rejecting the null hypothesis.
Which of the following statements are true about the significance level a of a test? 1. It is the probability that we fail to reject Ho when it is false. II. It is the probability that we reject Ho when it is true. III. The probability for us to make a Type Il error is 1 - a. O ll only o Tonly O all are true O II and III O III only
Perform a hypothesis test for the following sample. The significance level alpha is 5%. Sample: 7.9,8.3,8.4, 9.6,7.7, 8.1, 6.8,7.5,8.6,8,7.8,7.4,8.4,8.9,8.5,9.4,6.9,7.7. Test if mean 8.7. Assume normality of the data. 1 Formulate the hypothesis by entering the corresponding signs:"<" ">", "-" or "メ" and numbers. Hint: in your answers use "<>" instead of " " HO: mean H1:mean 2 p-value (rounded to three decimal places) 3 Conclusions, based on the results, which of the following options is correct: A Reject H0 and...
1. In hypothesis testing, the hypothesis that is assumed to be true for the purpose of testing is called the hypothesis 2. (Circle the correct response) In hypothesis testing, critical values used to make a rejection decision regarding the null hypothesis are determined by the nature of the hypothesis test (two-tail vs. one-tail) and the d. significance level a. sample size b. population parameter c. target value 3. (Circle the correct response) In the process of hypothesis testing, the test...
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