Do male and female servers at Swank Bar work the same number of hours? A sample of 60 female serversworked an average of 33 hours per week, with a standard deviation of 5. A sample of 60 male servers workedan average of 32 hours per week, with a standard deviation of 2.Let f1 and 42 represent the typical number of hours worked by all female and male servers at Swank Bar,respectively. Estimate with a 96% confidence level how many more hours female servers work. Round answersto the nearest hundredth.κ μι - με <Which of the following does your data suggest?OFemale and male servers work about the same number of hoursO Male servers work more hoursOFemale servers work more hours Two samples are taken with the following sample means, sizes, and standard deviations*₁ = 40 ₂ = 24n₁ = 62 n₂ = 5081 = 5 8₂ = 3Estimate the difference in population means using a 89% confidence level. Use a calculator, and do NOT poolthe sample variances. Round answers to the nearest hundredth.H1-H₂

We have given the following Sample mean 1 = 33 Sample mean 2= 32 n1 =60 n2 = 60 Standard deviation…

Answered: Do male and female servers at Swank Bar…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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From checking Facebook while walking to class to posting photos on Instagram while eating in the Russell House - social media plays a significant role in the daily lives of college students. The average amount of time a college student spends on social media in the morning (6:00 am - 11:59 am) is normally distributed with a mean of 48 minutes per day and a standard deviation of 12 minutes per day. Suppose on a given morning a college student spends 85 minutes on social-media. Is this unusual?. OA. Not enough information OB. Yes OC. No
There are 24 students enrolled in an introductory statistics class at a small university. As an in-class exercise the students were asked how many hours of television they watch each week. The nm = 13 male students watched an average of 6 hours of television per week with standard deviation 4.24 hours. The ng = 11 female students watched an average of 3.91 hours of television per week with a standard deviation of 3.48 hours. Assume that the students enrolled in the statistics class are representative of all students at the university. The standard error of the differences , and x, is about SE = 1.667. Use the normal distribution to test, at the 5% level, if male students at this university watch, on average, more television than female students. Include all details of the test. z = i p-value = i There is evidence that males at this university watch significantly more television, on average, than female students.
Suppose that the daily intake of an adult follows a uniform distribution from 40 to 65 micrograms. Suppose that 36 adults are randomly selected. What is the mean and standard deviation of the average intake for 36 adults. a. Mean= 52.5 stvdev = 1.2 b. Mean = 55 stvdev= 7.22c. Mean = 52.5 stvdev = 2.08 d. Mean= 52.5 stvdev = 7.22
Assume the average amount of caffeine consumed daily by adults is normally distributed with a mean of 260 mg and a standard deviation of 48 mg. In a random sample of 600 adults, how many consume at least 320 mg of caffeine daily?
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…
A study was conducted to investigate the effect of a new drug on blood pressure. A sample of 25 patients was randomly selected and their blood pressure was measured both before and after taking the drug. The sample mean blood pressure before taking the drug was 120 mmHg and the sample mean blood pressure after taking the drug was 118 mmHg. The sample standard deviation for the blood pressure before taking the drug was 4 mmHg and the sample standard deviation for the blood pressure after taking the drug was 5 mmHg. Test the hypothesis that the average blood pressure after taking the drug is lower than the average blood pressure before taking the drug using a 0.01 level of significance.
A banker finds that the number of times people use automated-teller machines (ATMs) in a year are normally distributed with a mean of 40.0 and a standard deviation of 11.2 (based on data from Maritz Marketing Research, Inc.). Find the proportion of customers who use ATMs between 20 and 60 times. Use four decimal places for your answer
A soccer player wants to estimate with 98% confidence the number of hours per week all high school soccer players typically spend practicing outside of the usual school team practices. She collects data from all 30 players on her team and finds the average time to be 2.5 hours with a standard deviation of 0.5 hours.
A hypothesis regarding the weight of newborn infants at a community hospital is that the mean is 7.1 pounds. A sample of seven infants is randomly selected and their weights at birth are recorded as 6.1, 8.1, 9.1, 10.1, 7.1, 11.1, and 12.1 pounds. What is the sample standard deviation?
Let’s suppose a sample of 36 American teenagers (randomly selected from a normally distributed population) watches an average of 1450 hours of television per year with a standard deviation of 239 hours. Construct the 95% confidence interval (CI) for the mean number of hours the population of American teenagers watch television per year
Scientists collect a simple random sample of 25 menthol cigarettes and 25 non-menthol cigarettes. Both samples consist of cigarettes that are filtered, 100mm long, and non-light. The menthol cigarettes have a mean nicotine amount of 0.87 mg and a standard deviation of 0.24 mg. The non-menthol cigarettes have a mean nicotine amount of 0.92 mg and a standard deviation of 0.25 mg. Use a 0.05 significance level to test the claim that non-menthol cigarettes have greater amounts of nicotine than menthol cigarettes. Assume population variances are not equal.
On average, a banana will last 6.3 days from the time it is purchased in the store to the time it is too rotten to eat. The standard deviation is 2.1 days. Will the average banana spoil earlier if the banana is hung from the ceiling? The data show results of an experiment with 16 bananas that are hung from the ceiling. Assume that that distribution of the population is normal. 5, 8, 5, 7, 4, 4, 6, 8, 6, 7, 5, 7, 6, 3, 6,2 What can be concluded at the 0.10 level of significance? H0: = 6.3 Ha: [ Select ] [">", "<", "Not Equal To"] 6.3 Test statistic:[ Select ] ["T", "Z"] p-Value = [ Select ] ["0.02", "0.08", "0.04", "0.16"] [ Select ] ["Reject Ho", "Fail to Reject Ho"] Conclusion: There is [ Select ] ["insufficient", "statistically significant"] evidence to make the conclusion that the population mean time that it takes for bananas to spoil if they are hung from the ceiling is less than 6.3 days.

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