Do male and female servers work the same number of hours? A sample of 23 female servers worked an average of 27 hours per week, with a standard deviation of 3. A sample of 17 male servers worked an average of 22 hours per week, with a standard deviation of 5. Construct a 80% confidence interval for the mean difference in hours worked for male and female servers. Assume that the populations are normal with unequal variances. Round your answers to three decimal places, and use four decimal places for any interim calculations. We are 80% confident that the interval f1 - μ2 in hours worked between male and female servers. contains the true mean difference Which of the following do you conclude? O Female and male servers work about the same number of hours on average. Female servers work more hours on average. O Male servers work more hours on average.

The average McDonald's restaurant generates $3.6 million in sales each year with a standard deviation of 0.9. Trent wants to know if the average sales generated by McDonald's restaurants in Kentucky is different than the worldwide average. He surveys 27 restaurants in Kentucky and finds the following data (in millions of dollars): 4.1, 2.8, 4.4, 4.5, 5.3, 5, 3.7, 2.9, 3.8, 4.8, 3.6, 2.3, 3.7, 2.9, 2.9, 4, 1.1, 5.2, 2.9, 5, 4, 4, 5.9, 3.2, 2.2, 4.3, 3.8 Perform a hypothesis test using a 3% level of significance. Step 1: State the null and alternative hypotheses. Ho: [? v] ? v На: ? ? v (So we will be performing a Select an answer test.) Step 2: Assuming the null hypothesis is true, determine the features of the distribution of point estimates using the Central Limit Theorem. By the Central Limit Theorem, we know that the point estimates are Select an answer v with distribution mean and distribution standard deviation Step 3: Find the p-value of the point estimate. P( ? v ? v = P( ? ♥ ?…

The incomes of math tutors in a tutoring center of a university are normally distributed with a mean of $1100 and a standard deviation of $150 what percentage of tutors earn less than $900 a month

Assume that the heights of women are normally distributed with a mean of 62.9 inches and a standard deviation of 2.4 inches. Find Q3, the third quartile that separates the bottom 75% from the top 25%.

You may need to use the appropriate technology to answer this question. Data were collected on the top 1,000 financial advisers. Company A had 239 people on the list and another company, Company B, had 121 people on the list. A sample of 16 of the advisers from Company A and 10 of the advisers from Company B showed that the advisers managed many very large accounts with a large variance in the total amount of funds managed. The standard deviation of the amount managed by advisers from Company A was s₁ = $583 million. The standard deviation of the amount managed by advisers from Company B was s₂ = $484 million. Conduct a hypothesis test at a = 0.10 to determine if there is a significant difference in the population variances for the amounts managed by the two companies. What is your conclusion about the variability in the amount of funds managed by advisers from the two firms? State the null and alternative hypotheses. 2 2 H₂:0 2 Find the value of the test statistic. (Round your answer…

Please see the picture below. None of the answers I've tried is coming back right. I just need help with the items in the red boxes.

Which of the following data sets has the smallest standard deviation?   a. 1, 2, 3, 4, 5   b. 100, 100, 100, 100, 100   c. 100, 101, 102, 103, 104   d. 2, 4, 6, 8, 10

A successful basketball player has a height of 6 feet 11 ​inches, or 211 cm. Based on statistics from a data​ set, his height converts to the z score of 5.17. How many standard deviations is his height above the​ mean?

Answer.

Find the standard deviation.. Round to one more place than the data 7,19,20,8,17, 14, 8, 20, 12 O A. 5.1 O B. 1.7 O C. 5.4 O D. 5.7