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.................... You wish to test the following claim (14,) at a significance level of a = 0.001. Ho:p = 72.2 Ha:p / 72.2 You believe

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You wish to test the following claim (14,) at a significance level of a = 0.001. Ho:p = 72.2 Ha:p / 72.2 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n = 7 with mean = = 58.1 and a standard deviation of * = 14.9. a. What is the p-value for this test? (Report answer accurate to four decimal places.) p-value = b. The p-value is... O less than (or equal to) or O greater than a c. This p-value leads to a decision to... O reject the null O accept the null O fail to reject the null d. As such, the final conclusion is that... O The sample data support the claim that the population mean is not equal to 72.2. O There is not sufficient sample evidence to support the claim that the population mean is not equal to 72.2. Question Help: [) Video Submit Question Activate WirScore on last try: 0.67 of 1 pts. See Details for more. > Next question Get a similar question You can retry this question below Assume the hourly wage rate for a fast-growing online job is normally distributed with a mean of " = $28.00. Suppose a random sample of n = 23 workers revealed a mean wage of = = $28.86 with a standard deviation of 8 = $1.80. At a = 0.01, is there enough evidence to conclude that the mean hourly wage is more than $28.00? a. Select the appropriate alternative hypothesis, H, or Ha: Ou > $28.00 Op / $28.00 Ou $28.86 Ou *$28.00 b. The p value of this test is (3 decimal places) = C. At a = 0.01, select the decision/conclusion: Fail to reject the null hypothesis. * There is not of enough evidence to conclude that the mean hourly wage is more than $28.00. d. What is the difference between observed sample mean and claimed population mean? (Provide only the number with 2 decimal places) e. Statistical vs Practical Significance: The difference between observed sample mean and claimed mean may not be practically significant (or important)

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