Identify the two types of incorrect decisions in a hypothesis test. For each incorrect decision, what symbol is used to represent the probability of making that type of error?Choose the correct answer below.O A. A Type I error is rejecting a true null hypothesis, whose probability is denoted a.A Type Il error is not rejecting a false null hypothesis, whose probability is denoted B.O B. A Type I error is not accepting a true null hypothesis, whose probability is denoted a.A Type Il error is accepting a false null hypothesis, whose probability is denoted B.O C. A Type I error is accepting a false null hypothesis, whose probability is denoted a.A Type Il error is not accepting a true null hypothesis, whose probability is denoted B.D. A Type I error is not rejecting a false null hypothesis, whose probability is denoted a.A Type Il error is rejecting a true null hypothesis, whose probability is denoted B.

Types of errors: Type-I error: The probability of rejecting Null Hypothesis H0, when H0 is true. It…

Answered: Identify the two types of incorrect…

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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The drug-test a certain company gives has a 98% sensitivity rating and a 97% specificity rating. Assume 20% of the employees use the drug this test is used for. a.Given an employee tests positive what is the probability they are actually using the drug? b.If really only 2% of employees are using the drug this test is for; then what is the probability that a person who tests positive is actually using the drug?
Which of the following correctly describes the meaning of the p-value? a. The p-value is the probability the alternative hypothesis is true. b. The p-value is the probability the null hypothesis is true. c. The p-value is the probability we would get results like our sample (or something more extreme), given the null hypothesis is true. d. The p-value is the probability the null hypothesis is true, given our sample. e. The p-value is the probability the alternative hypothesis is true, given our sample.
When a customer has a drier delivered to their home, they will receive $50 off if the dryer has any dents or scratches. A randomly selected drier may or may not have any dents or scratches. The hypotheses can be stated as follows. H,: The dryer is not dented or scratched. H;: The dryer is dented or scratched. Which of the following best describes a Type I error? concluding the dryer is dented or scratched when it really is concluding the dryer is dented or scratched when it really is not concluding the dryer is not dented or scratched when it really is concluding the dryer is not dented or scratched when it really is not It is not possible to make a Type I error in this situation.
The power of a test is the probability of making O a correct decision when the null hypothesis is false. a correct decision when the null hypothesis is true an incorrect decision when the nul hypothesis is false. O an incorrect decision when the nul hypothesis is true.
The numbers of successes and the sample sizes for independent simple random samples from two populations are provided for a right-tailed test. Use a 90% confidence interval. Complete parts (a) through (d). X1 = 25, n, = 30, x2 = 17, n, = 70, a = 0.05 Click here to view a table of areas under the standard normal curve for negative values of z. Click here to view a table of areas under the standard normal curve for positive values of z. a. Determine the sample proportions. Determine the sample proportion p1. p = (Round to three decimal places as needed.) Determine the sample proportion p2. P2 = (Round to three decimal places as needed.) Determine the pooled sample proportion p,. (Round to three decimal places as needed.) b. Decide whether using the two-proportions z-procedures is appropriate. Check that the assumptions are satisfied. Select all that apply. A. The assumptions are satisfied, so using the procedures is appropriate. B. Since x, is less than 5, using the procedures is not…
The null hypothesis in the test for goodness of fit is that a. the data fit the expected frequencies. b. the data do not fit the expected frequencies. c. the variables are independent. d. the variables are dependent.
Conduct the appropriate test of the specified probabilities using the given information. Use a = 0.05. The five categories are equally likely to occur, and the category counts are shown in the table Category 4 Observed Count 46 64 73 50 67 State the null and alternative hypotheses. Ho: At least one p, is different from 0. Ho: Ha: P1 = P2 = P3 = P4 = P5 Ho: P1 = P2 = P3 = P4 = P5 %3D На : At least one Pi is different from 5 Ho: At least one Pi is different from Ha: P1 P4 P2 = P3 P5 %D %3D = P4 = P5 Hoi P1 H3: P2 = P3 : At least one p, is different from 1. Но: Р1 P2 = P3 P4 = P5 %D : At least one p, is different from 0. Hai Find the test statistic. (Round your answer to two decimal places.) x² : Find the rejection region. (Round your answer to two decimal places.) x? > What can be said about the p-value,
In most judicial systems, a defendant is innocent until proven guilty. An attorney defends the null hypothesis that his client, the defendant, is innocent. From the judge’s point of view, what are the implications of making the following types of errors? A Type I error A Type II error
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Dysart's is interested in whether the average check size is more or less than before the pandemic, when the average per check was $14. Select the v 14 [ Select ] correct symbols to use in the alternate hypothesis for this hypothesis test. Ha: [ Select ]
The Consider the following hypothesis test: Ho : Null Hypothesis H. : Alternative Hypothesis The level of significance is defined as Select one: O a. the probability of accepting Ho when Ho is true as an equality O b. the probability of rejecting Ho when Ha is true as an equality O c. the probability of accepting Ho when Ha is true as an equality O d. the probability of rejecting Ho when Ho is true as an equality
Statistical power is related to: a. effect size b. the probability of correctly rejecting the null hypothesis c. the probability of not making a Type 1 error d. the probability of not making a Type 2 error

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