Identify the type I error and the type II error that corresponds to the given hypothesis. The proportion of people who write with their left hand is equal to 0.19.
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- Identify the type I error and the type II error that corresponds to the given hypothesis. The proportion of people who write with their left hand is equal to 0.32. Which of the following is a type I error? A. Fail to reject the claim that the proportion of people who write with their left hand is 0.32 when the proportion is actually 0.32. B. Fail to reject the claim that the proportion of people who write with their left hand is 0.32 when the proportion is actually different from 0.32. C. Reject the claim that the proportion of people who write with their left hand is 0.32 when the proportion is actually 0.32. D. Reject the claim that the proportion of people who write with their left hand is 0.32 when the proportion is actually different from 0.32. Which of the following is a type II error? A. Reject the claim that the proportion of people who write with their left hand is 0.15 when the proportion is actually 0.15. Your…A researcher first decided to conduct a two-tailed hypothesis test, with alpha = .05, but then decided she wants to reduce the risk of a Type I error. What should she do? a. Calculate her statistics more carefully. b. Decrease alpha to .01 c. Increase alpha to .15 e. Conduct a three-tailed testIn testing hypotheses, which of the following would be strong evidence against the null hypothesis?a. Obtaining data with a test statistic of small magnitude.b. Obtaining data with a small P-value.c. Obtaining data with a large P-value.d. Using a large level of significance, α.e. Using a small level of significance, α
- Based on certain data, a null hypothesis is rejected atthe 0.05 level of significance. Would it also be rejectedat the(a) 0.01 level of significance;(b) 0.10 level of significance?The proportion of mango trees on an island that produce only dwarf fruit is p1. The proportion of mango trees on a different island that produce only dwarf fruit is p2. What is the null hypothesis for a test to determine if the proportions are different between the two islands? Select the correct answer below: H0: p1−p2≠0 H0: p1−p2=0 H0: p1−p2>0 H0: p1−p2<0Which of the following relates to the acceptance of the null hypothesis when it is actually false?1. Type I error 2. Type II error 3. Power 4. Statistical significance
- Which of the following relates to the rejection of the null hypothesis when it is actually false? 1. Type I error 2. Type II error 3. Power 4. Statistical significanceWhich of the following relates to the rejection of the null hypothesis when it is actually true? 1. Type I error2. Type II error 3. Power 4. Statistical significanceYou are asked to test the null hypothesis at the .05 level of significance and you end up with z-observed being equal to -1.83. What would be the appropriate decision to make?
- When asked what it means for the result of a hypothesis test to be practically significant (or practically important), Tatum says this means that the P-value is small and the null hypothesis has been rejected. what is wrong about this?Which of the following statements is true regarding the influence of a small alpha level in the context of hypothesis testing? a. A small alpha level reduces the likelihood of a Type I error. b. A small alpha level reduces the effect size. c. A small alpha level increases statistical power. d. A small alpha level increases the likelihood of detecting statistical significance.Ex 9. Suppose that a national survey finds that 73 percent of restaurant employees say that work stress has a negative impact on their personal lives. A random sample of 200 employees of a large restaurant chain finds that 141 employees say that work stress has a negative impact on their personal lives. a. Formulate the null and alternative hypotheses needed to attempt to provide evidence that the percentage of work-stressed employees for the restaurant chain differs from the national percentage. b. Use critical values to perform the hypothesis test by setting α equal to .10, .05, .01, and .001