Nike CIO surveyed their employees at the R&D department and collected thefollowing data to help him to decide whether employees should work from home orcommute to the work. The data represents the number of miles that employeescommute from home to work each day. There are two samples: one for males andone for females.Males:13 52232314 5Females:15 6 3 26Which of the following statements is true?Females have the larger range.The coefficient of variation is larger for males than for females.The coefficient of variation is larger for females than for males.Females have the larger mean.

Let's determine which of the statements is true by calculating the mean, range, and coefficient of…

Answered: Nike CIO surveyed their employees at…

Understanding Business

12th Edition

ISBN:9781259929434

Author:William Nickels

Publisher:William Nickels

Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment

Section: Chapter Questions

Problem 1CE

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Similar questions

38
Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in Bennington, Vermont, over the past 12 weeks. Sales (1,000s of gallons) Week 1 17 2 21 3 19 23 5 18 6 16 7 21 8 19 9 23 10 21 11 16 12 23 (a) Using a weight of - for the most recent observation, for the second most recent observation, and - for third most recent observation, compute a three-week weighted moving average for the time series. (Round your answers to two decimal places.) Time Series Value Weighted Moving Average Forecast Week 1. 17 2 21 19 4 23 5 18 6 16 7 21
Below is the number of complaints received in a department store for the first six months of operation: Month Complaints January February March April May June 37 48 84 96 114 148 If a three-month moving average is used to smooth this series, what would have been the forecast for July, rounded to the nearest whole number?
Attendance at Orlando's newest Disneylike attraction, Lego World, has been as follows: Quarter Quarter Guests (in thousands) Guests (in thousands) Winter Year 1 68 Summer Year 2 120 Spring Year 1 99 Fall Year 2 51 Summer Year 1 155 Winter Year 3 99 Fall Year 1 75 Winter Year 2 65 Spring Year 3 Summer Year 3 151 207 Spring Year 2 84 Fall Year 3 98 Based on the given attendance, the seasonal indices for each of the seasons are (round your responses to three decimal places): Season Index Winter
I understand the moving average concept but not the weighted moving average and exponential smoothing
The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Jan Feb Mar AprMonth 1 2 3 4Number of Accidents 25 40 60 105 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): y = ? + ?x
George's 4.27 Attendance at Orlando's newest Disneylike attrac- .. tion, Lego World, has been as follows: GUESTS GUESTS (IN THOUSANDS) (IN THOUSANDS) QUARTER QUARTER Winter Year 1 73 Summer Year 2 124 Spring Year 1 104 Fall Year 2 52 Summer Year 1 168 Winter Year 3 89 Fall Year 1 74 Spring Year 3 146 Winter Year 2 65 Summer Year 3 205 Spring Year 2 82 Fall Year 3 T98 Compute seasonal indices using all of the data. PX doma
The following table gives the number of pints of type A blood used at Woodlawn Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places) b) Using a 3-week weighted moving average, with weights of 0.10, 0.30, and 0.60, using 0.60 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 360 and α = 0.20, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places). Week Of August 31 September 7 September 14 September…
Give correct answer and give explaination and give summary at last.
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: S Week Of August 31 September 7 September 14 September 21 September 28 October 5 a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places) b) Using a 3-week weighted moving average, with weights of 0.15, 0.35, and 0.50, using 0.50 for the most recent week, the forecasted demand for the week of October 12 = order the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 350 and a = 0.30, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places) Week Of Pints Used Forecast for this Date 350 350.00 356.00 August 31 September 7 September 14 September 21 September 28 October 5 October 12 Pints…
N
You want to provide an overview of the characteristics of the respondents in your sample. Which of the following would you use to provide insight in the age of your respondents? a. A frequency table and a bar chart b. The mode, median and the standard deviation c. The mean and the variance. d. The mean, the median, and the mode

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