An HR administrator wishes to know the proportion of employees that are currentlyusing a very costly benefit to determine if it is still considered valuable by the staff. Ifthe administrator has no preliminary notion of the proportion of employees using thebenefit, how big a sample must she collect to be accurate within 0.13 at the 95% level ofconfidence?Standard Normal Distribution TableRound up to the next whole numberLSAMSUNGSUBMIT QUESTIONSAVE PROGRESSSUBMITA

Follwings are the Explanation of the question' Given that 1) Margin of Error =E = 0.13 2) Confidence…

Answered: An HR administrator wishes to know the…

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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USA TODAY (October 14, 2016) reported that Americans spend 4.1 hours per weekday checking work email. This was an estimate based on a survey of 1,004 white-collar workers in the United States. (a) Suppose that you would like to know if there is evidence that the mean time spent checking work email for white-collar workers in the United States is more than half of the 8-hourwork day. What would you need to assume about the sample in order to use the given sample data to answer this question? (Select all that apply.) We would need to assume that all white-collar workers were surveyed or the sample is representative of the population of white-collar workers in the United States.We would need to assume that all observations are dependent or all observations are independent.We would need to assume that the distribution of the population of times is normal or that the sample size is small.We would need to assume that the sample was randomly selected or is representative of the population…
A car wash is assessing the average wait time for its customers. The median wait time is 4 minutes. Does a customer who waits for 5 minutes represent an abnormal wait time? The customer who waits 5 minutes an abnormal case, because 50% of customers wait more than minutes.
Let's use SPSS to run a one-sample t-test! Imagine that you are interested in whether the number of hours students in a statistics course work each week differs from the average number of hours reported by the general student body at ASU. Thankfully, you have a data set that consists of information from students in a statistics course, including how many hours they work each week ("workhours"). You also happen to know that the average number of hours worked each week by the general student population at ASU is 25. Use the data provided to conduct a one sample t-test in SPSS comparing the sample data to the population mean.. The dependent variable for your test should be "workhours". Based on your output, the average number of hours worked each week by a sample is ________ . Enter your answer rounded to two decimal places (i.e., 10.01, not 10.1, not 10.0, not 10.010).
The following contingency table records some information about a sample of visitors to Old Fort William over a long weekend in August. Local Other Canadian Non-Canadian Total Young Child 40 75 35 150 Teen 25 50 20 95 Young Adult Mid Aged Adult 140 85 125 200 465 100 195 380 Senior Adult 120 165 125 410 Total 410 685 405 1500 Given the above information and choosing a level of significance of a = 0.01; you should reject the null hypothesis that there is at least one difference in origins among age groups that is statistically significant. True False
A person is interested in studying the amount of time (in minutes ) people spend on social media in a day. The following data is collected from a sample of 12 people : 45, 60,25,55,75,90,100,120,105,80, 0 and 220. Does the data contain outlier(s)? Explain your reasoning. ( use empirical rule and use the quartile method to check ).
What is the approximate sample size required to estimate the percentage of Americans who have earned a college degree to within 2%, with 95% confidence?
GMU uses a robot food delivery service which now has been utilized in the City of Fairfax. One of the potential benefits of this service is to help the busiest students eat breakfast. Research has shown that about 80% of college students skip breakfast due to busy schedules and other reasons. Initial data were collected from a random sample of 595 Mason students who utilize the robot food delivery service and are presented in StatCrunch. Show the full calculation of the sample proportion by including the number of students who skipped breakfast, the total number of students sampled, and the value of the sample proportion. Present this sample proportion as a decimal rounded to four decimal places. Frequency table results for Breakfast?Count = 595 Breakfast? Frequency Relative Frequency 0 142 0.23865546 1 453 0.76134454
The planning director of Wellington, NZ, wants to determine whether the mean age of residents in his city is similar to 29.6 years (the national average age). A random sample of 80 residents is surveyed, with a desired confidence level of 99%. The Research Hypothess is: Mean Age (Wellington) Mean Age (National) Mean Age (Wellington)# Mean Age (National) Mean Age (Wellington)2 Mean Age (National)
Color blindness, or dyschromatopsia, is a form of genetic deficiency in color perception. The condition is much more prevalent among males than females, pointing to a genetic connection with the X chromosome. The frequency of dyschromatopsia in the Caucasian American male population is about 7%. However, it is thought that this proportion might be smaller among males of other ethnicities. We want to estimate the proportion of Asian American males who are color-blind. How large a sample size do we need in order to obtain a 95% confidence interval with a margin of error no greater than 5%, or 0.05? Use 0.5 for p̂.
Traditional statistics (means, variances, and hypothesis tests) are not used to evaluate the results from a single-case study. Explain how the results are evaluated.
A nationwide job recruiting firm wants to compare the annual incomes for childcare workers in Connecticut and California. Due to recent trends in the childcare industry, the firm suspects that the that the mean annual income of childcare workers in the state of Connecticut is greater than the mean annual income of childcare workers in California. To see if this is true, the firm selected a random sample of 10 childcare workers from Connecticut and an independent random sample of 10 childcare workers from California and asked them to report their mean annual income. The data obtained were as follows. 80°F Partly sunny Annual income in dollars Connecticut 42438, 52287, 46837, 49334, 52848, 52929, 57111, 51860, 44967, 52174 California 50998, 38334, 56804, 50919, 49446, 41141, 45717, 43963, 55156, 47295 LL D 144Hz Send data to calculator V The population standard deviations for the annual incomes of childcare workers in Connecticut and in California are estimated as 6300 and 6100,…
Researchers are looking to see what proportion of students will report cheating if they see it happen. A SRS of 172 undergraduates is collected and 19 respond that they would report cheating if they saw it happen. What is the point estimator?

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