The test statistic for testing HO: mu = 100 against Ha: mu != 100 was t = 3.3, with p-value of 0.001. Which of these is the correct conclusion? Since the p-value is very small, we conclud that mu != 100 Since the p-vaue is very smal, we are unable to conlude that mu != 100 Since the p-value is very small, we must conclude the mu 100 In order to interpret the results, we must first know the sample size. Since the p-value is very small, we are unable to conclude that mu = 100.

Researchers were interested in determining whether there was a difference in crime rates in areas where there is high youth unemployment vs low youth unemployment. Alpha (level of significance) was set at .05. 1.) State the null and alternate hypotheses

Consider a test of Ho: = 75 performed with the computer. The software reports a two-tailed p-value of 0.1032. Make the appropriate conclusion for each of the following situations. a. Ha: 75, z = 1.63, a = 0.08 d. H: #75, z = -1.63, α = 0.01 a. Choose the correct answer below. O There is sufficient evidence to reject Ho- O There is insufficient evidence to reject Ho- b. Choose the correct answer below. O There is insufficient evidence to reject Ho- There is sufficient evidence to reject Ho c. Choose the correct answer below. O There is sufficient evidence to reject Ho- There is insufficient evidence to reject Ho- d. Choose the correct answer below. O There is sufficient evidence to reject Ho- O There is insufficient evidence to reject Ho

In my last question, the formular for a & b is correct, however, the same formular for c is not...The difference should be "20" but I'm not sure why this isn't calculating to "20". Here's the question: A random sample of 24 items is drawn from a population whose standard deviation is unknown. The sample mean is x¯ = 880 and the sample standard deviation is s = 5.       (c) Construct an interval estimate of μ with 99% confidence,  assuming that s = 20.          =880-20/SQRT(24)*2.81 = 868.528 =880+20/SQRT(24)*2.81 = 891.472

Suppose that average male weight in the US is 175 pounds with a standard deviation of 25 pounds. Suppose you randomly select 1,000 male Americans and ask their weight, and average the 1,000 numbers to compute a sample mean X. a) What does the law of large numbers tell you about X, the average of the 1,000? Be precise in your answer using about 1 to 3 sentences.

1.)The Empirical Rule states that approximately 68% of the sample means will land between μ?̅−1??̅???μ?̅+1??̅, about 95% of the sample means will land between μ?̅−2??̅???μ?̅+2??̅, about 99.7% of the sample means will land between μ?̅−3??̅???μ?̅+3??̅. a.How manystandard deviations are necessary to capture 68% of the sample means? b.How many standard deviations are necessary to capture 95% of the sample means? c.How many standard deviations are necessary to capture 99.7% of the sample means?

20. Only about 10% of all people can wiggle their ears. Is this percent lower for millionaires? Of the 372 millionaires surveyed, 30 could wiggle their ears. What can be concluded at the αα = 0.05 level of significance? For this study, we should use     The null and alternative hypotheses would be:  H0:             (please enter a decimal)  H1:          (Please enter a decimal) The test statistic     =  (please show your answer to 3 decimal places.) The p-value =  (Please show your answer to 3 decimal places.) The p-value is     α Based on this, we should      the null hypothesis. Thus, the final conclusion is that ... The data suggest the population proportion is not significantly lower than 10% at αα = 0.05, so there is statistically significant evidence to conclude that the population proportion of millionaires who can wiggle their ears is equal to 10%. The data suggest the populaton proportion is significantly lower than 10% at αα = 0.05, so there is statistically significant…

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The owner of a fitness watch would like to determine if the mean number of steps he takes per day differs from the recommended 10,000 steps per day, using a = 0.01. He selects a random sample of 50 days with the intention of testing the hypotheses Ho:u = 10,000 steps versus Ha p # 10,000 steps where p = the true mean number of steps taken per day. Which of the following values of the alternative hypothesis would yield the greatest power to reject the null hypothesis? Ο μ-9,000 O p =9,500 O H = 10,000 Ο μ 10,500

Can I have all 3 questions done, Thank you.