Nurses on the 8th floor of Community Hospital believe they need extra staffing at night. To estimate the night workload, a rändom sample of 45 nights was used. For each night thetotal number of room calls to the nurses' station on the 8th floor was recorded as follows: 68 60 69 70 83 58 90 86 71 71 92 95 70 74 46 84 82 75 63 101 77 102 80 86 85 73 86 62 100 90 88 70 87 65 75 70 70 80 82 85 93 92 77 100 65 Compute for the: UNGROUPED DATA SKEWNESS KURTOSIS COEFFICIENT OF VARIATION = GROUPED DATẢ: COEFFICIENT OF VARÍATION = USE 2 DECIMAL PLACES

Nurses on the 8th floor of Community Hospital believe they need extra staffing at night. To estimate the night workload, a rändom sample of 45 nights was used. For each night thetotal number of room calls to the nurses' station on the 8th floor was recorded as follows: 68 60 69 70 83 58 90 86 71 71 92 95 70 74 46 84 82 75 63 101 77 102 80 86 85 73 86 62 100 90 88 70 87 65 75 70 70 80 82 85 93 92 77 100 65 Compute for the: UNGROUPED DATA SKEWNESS KURTOSIS COEFFICIENT OF VARIATION = GROUPED DATẢ: COEFFICIENT OF VARÍATION = USE 2 DECIMAL PLACES

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Description: Nurses on the 8th floor of Community Hospital believe they need extra staffing at night. To estimate the night workload, arändom sample of 45 nights was used. For each night thetotal number of room calls to the nurses' station on the 8thfloor was re

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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A government agency computed the proportion of U.S. residents who lived in each of four geographic regions in a particular year. Then a simple random sample was drawn of 1000 people living in the United States in the current year. The following table presents the results. Region Past YearProportion ObservedCounts Northeast 0.171 150 Midwest 0.245 235 South 0.357 398 West 0.227 217 Send data to Excel Can you conclude that the proportions of people living in the various regions changed between the current year and the past year? Use the 0.05 level of significance and the P-value method with the TI-84 Plus calculator. What the P value?
Your statistics instructor often ponders the relationship between commute time and job satisfaction while driving back and forth to campus. Your instructor hypothesizes that people with a shorter commute time will have higher degrees of job satisfaction. Randomly sampling 600 Valley commuters, the instructor finds the following data listed in frequencies: Table 2: Commuters by Length of Commute and Job Satisfaction Job Satisfaction Number Who Commute 20 Minutes or Less Number Who Commute 21 to 40 Minutes Number Who Commute 41 Minutes or More Total Number for Each Level of Job Satisfaction Dissatisfied 10 60 140 210 Neutral 45 59 51 155 Satisfied 145 60 30 235 Total Number for Each Commute Time Range 200 179 221 1. Change frequencies to column percentages.
A random sample of 10 compact cars, 10 mid-size cars, and 10 luxury cars were selected. The time (in seconds) each of the randomly selected cars required to accelerate from 0 to 60 mph was looked up on the Autos.com website. The results are presented below. Car Type Time (in seconds) Required to Accelerate from 0 to 60 mph Compact 9.3 8.1 10.2 8.8 9.0 9.3 7.7 9.2 9.4 8.6 Mid-Size 6.9 5.7 8.3 7.7 8.6 5.9 6.1 8.8 6.1 7.2 Luxury 5.7 6.3 5.4 4.7 6.2 7.0 5.9 5.3 6.3 5.0 Conduct a hypothesis test using ! = 0.05 to determine whether the mean time required to accelerate from 0 to 60 mph is the same for compact, mid-size, and luxury cars. (No accounting or excel, I need help solving it.)
Foxbees magazine published data on the best small firms in 2012. These publicly traded firms have a stock price of at least $5 per share and have reported annual revenue between $5 million and $1 billion. The data below shows the ages of the corporate CEOS for a random sample of these firms. 49 67 59 48 45 49 39 44 37 38 48 38 43 48 62 74 70 58 58 40 74 35 36 54 38 45 54 55 64 75 69 36 55 72 69 60 40 64 39 59 74 52 40 49 38 38 74 50 55 50 R vector Copy to clipboard a) What is the mean of the sample? (Round to 4 decimal places) b) What is the standard deviation of the sample mean or the standard error? (Round to 4 decimal places) c) What is the sample size? (Round to whole number)
The safety director of a large steel mill took samples at random from company records of minor work-related accidents and classified them according to the time the accident took place. Time Number of Accidents Time Number of Accidents 8 up to 9 a.m. 10 1 up to 2 p.m. 11 9 up to 10 a.m. 9 2 up to 3 p.m. 12 10 up to 11 a.m. 12 3 up to 4 p.m. 7 11 up to 12 p.m. 6 4 up to 5 p.m. 11 Click here for the Excel Data File Using the goodness-of-fit test and the 0.10 level of significance, determine whether the accidents are evenly distributed throughout the day. H0: The accidents are evenly distributed throughout the day.H1: The accidents are not evenly distributed throughout the day. a. State the decision rule, using the 0.10 significance level. (Round your answer to 3 decimal places.) b. Compute the value of chi-square. (Round your answer to 3 decimal places.) c. What is your decision regarding H0?
A real estate agent wishes to determine whether tax assessors and real estate appraisers agree on the values of homes. A random sample of the two groups appraised 10 homes. Is there a significant difference in the values of the homes for each group? Assume the data are from normally distributed populations. Real Estate Appraisers Tax Assessors: X1 = $83,256; s1 = $3256; n1 = 10 X2 = $88,354; s2 = $2341; n2 = 10
A statistics teacher asked two different students, Lexie and Jennifer, to go to Wegmans and sample 30 shoppers each. The population of interest for both people can be defined as, “People who shop at the Johnson City, NY Wegmans store”. Here is what each person did to collect their sample: Lexie: She stood outside at the entrance to the store on 3 different days and times and surveyed every 15th person to walk by her. She surveyed 10 people each time to get her 30. Jennifer: She went to Wegmans after her nursing shift first thing Wednesday morning to buy deodorant since she ran out. When she was in the pharmacy area she surveyed all the people around her and then, to get up to 30 surveys, she went to the health food section and surveyed everyone she was there. Identify at least 2 specific reasons why Lexie’s approach is more likely to give a representative sample. Consider sources of bias, or types of shoppers who might be excluded by Jennifer’s approach.…
A real-estate appraiser wants to verify the market value for homes on the east side of the city that are very similar to size and style. The appraiser wants to test the popular belief that the average sales price is $37.80 per square foot for such homes. Suppose that a random sample of six sales were selected. The sampled sales prices per square foot are $35.00, $38.10, $37.20, $29.80, $30.30, and $35.40. Assuming a normal distribution is a good model for sales, test the claim that the mean sales price per square foot differs from $37.80 at the 1% significance level.
The number of winter vacation days during one year taken by 159 randomly selected employees were recorded. The data is summarized in the table below. Number of Winter Vacation Days Frequency Cumulative Frequency 0 – 9 43 10 – 19 41 20 – 29 21 30 – 39 37 40 – 49 17
To evaluate the current status of physical activity in university students at BU, a student in Business surveyed students from their class by randomly selecting 12 rows and collecting data one 2 people from each of the selected rows. The question asked: "How many hours per week do you exercise?" What is the sample? O Students in Business at BU. O The 24 surveyed students. O Students at BU Everyone at BU. ONone of the above.