Typical values for alpha generally range from 1% to 10% for hypothesis testing. Select one: O True O False
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Q: Ho: p = 0.71 H₁:p 0.71
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Q: The null and alternative hypothesis would be: Но:р — 0.55 Но: р — 2.2 Но:р — 0.55 Но: и — Ho:P 0.55…
A: We have given that The claim: The mean GPA of night students is larger than 2.2.
Q: Perform the following hypothesis test of a proportion: HO: p = 0.125 HA: p 0.125 The sample…
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Q: The critical boundaries for a hypothesis test are z = +1.96 and -1.96. If the z-score for the sample…
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Q: Test the claim that the mean GPA of night students is significantly different than 2.5 at the 0.05…
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Q: H1: µà 70 Test statistic t Hint: Find d-bar and Sa, then find the test statistic.
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- Perform the following hypothesis test of a proportion: HO: p = 0.125 HA: p 0.125 The sample proportion is 0.1 based on a sample size of 95. Use a 10% significance level. The critical values of the test statistic that divide the rejection and non-rejection regions are what value?Thumbs-up is a popular and new soft drink company in India. The company wants to test the market for its product. A sample of 500 individuals participated in the taste test and 125 indicated that they like the taste. We would like to test if more than 20% of the population will like the new soft drink. For alpha=95% confidence, test the hypothesis.Test the claim that the proportion of people who own cats is significantly different than 20% at the 0.1 significance level. The null and alternative hypothesis would be: Ho:p 2 0.2 Ho:p = 0.2 Ho: u 0.2 Ho: u = 0.2 Ho:p 0.2 H1 : p 0.2 The test is: left-tailed two-tailed right-tailed Based on a sample of 700 people, 11% owned cats The p-value is: 0.1 x (to 2 decimals) Based on this we: O Fail to reject the null hypothesis O Reject the null hypothesis
- 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.R1Find the p-value that corresponds to the given standard score, and determine whether to reject the null hypothesis at the 0.10 significance level. Is the alternative hypothesis supported? Z= 0.9 for H0: u=136 pounds and Ha: u is not = 136 pounds. The p-value is ?
- Test the claim that the mean GPA of night students is significantly different than 2.6 at the 0.05 significance level. The null and alternative hypothesis would be: Но: д — 2.6 Нo:р 3 0.65 Но: р %—D 0.65 Но:н H:р > 2.6 Н:p#0.65 Hi:p > 0.65 Н:д < 2.6 H:д 2 2.6 H:р<0.65 - 2.6 Ho:µ 2.6 Но:р 0.65 = = The test is: right-tailed left-tailed two-tailed Based on a sample of 65 people, the sample mean GPA was 2.63 with a standard deviation of 0.05 The test statistic i: (to 2 decimals) The positive critical value is: (to 2 decimals) Based on this we: O Fail to reject the null hypothesis O Reject the null hypothesisFind the P-value that corresponds to the given standard score, and determine whether to reject the null hypothesis at the 0.05 significance level. Is the alternative hypothesis supported? z=2.6 for Ho: μ=149 pounds and H₂: μ* 149 poundsIn hypothesis testing, if the test statistic is negative, this means the sample statistic is larger than the claimed population parameter. O we call the initial claim being tested about the population an alternative hypothesis. the "P" in P-value stands for "personal." O it is necessary to know the population size in order to compute the test statistic. O results that are statistically significant may or may not be practically important (or practically significant).