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The data provided list a sample of the time in seconds to process customers at a ticket counter. A frequency distribution and histogram of the data are also provided. Complete parts a through c. Click here to view the data. Click here to view.a frequency distribution and histogtam of the data. Service times data Times (sec.) a. Summarize the data using the Descriptive Statistics tool. What can you say about the shape of the distribution of times? (Type integers or decimals rounded to two decimal places as needed) Mean 28 345 Standard Error 204 68 Median 177 Mode 32 Standard Deviation 41 66 Sample Variance 47 Kurtosis 62 Skewness 141 350 Range 116 Minimum 15 Maximum 35 110 Sum 151 Count 166 288 What can you say about the shape of the distribution of times? 129 The V values suggest that the distribution is 130 192 b. Find the 90th percentile. 121 131 The 90th percentile is O (Round to the nearest integer as needed.) 68 179 c. How might the airline use these results to manage its ticketing counter operations? 40 685 While the mean is approximately second(s), the upper three standard deviation range is approximatelyO second(s). They could try to identify the and adjust their staffing toward these times. 48 (Round to two decimal places as needed.) 157

The data provided list a sample of the time in seconds to process customers at a ticket counter. A frequency distribution and histogram of the data are also provided. Complete parts a through c. Click here to view the data. Click here to view.a frequency distribution and histogtam of the data. Service times data Times (sec.) a. Summarize the data using the Descriptive Statistics tool. What can you say about the shape of the distribution of times? (Type integers or decimals rounded to two decimal places as needed) Mean 28 345 Standard Error 204 68 Median 177 Mode 32 Standard Deviation 41 66 Sample Variance 47 Kurtosis 62 Skewness 141 350 Range 116 Minimum 15 Maximum 35 110 Sum 151 Count 166 288 What can you say about the shape of the distribution of times? 129 The V values suggest that the distribution is 130 192 b. Find the 90th percentile. 121 131 The 90th percentile is O (Round to the nearest integer as needed.) 68 179 c. How might the airline use these results to manage its ticketing counter operations? 40 685 While the mean is approximately second(s), the upper three standard deviation range is approximatelyO second(s). They could try to identify the and adjust their staffing toward these times. 48 (Round to two decimal places as needed.) 157

MATLAB: An Introduction with Applications
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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The data provided list a sample of the time in seconds to process customers at a ticket counter. A frequency distribution and histogram of the data are also provided. Complete parts a through c. Service times data Click here to view the data. Click here to view a frequency distribution and histogram of the data. ..... Times (sec.) a. Summarize the data using the Descriptive Statistics tool. What can you say about the shape of the distribution of times? (Type integers or decimals rounded to two decimal places as needed.) 28 Mean 345 Standard Error 204 68 Median 177 Mode 32 Standard Deviation 41 66 Sample Variance 47 Kurtosis 62 Skewness 141 350 Range 116 Minimum 15 Maximum 35 110 Sum 151 Count 166 288 What can you say about the shape of the distribution of times? 129 The V values suggest that the distribution is 130 192 b. Find the 90th percentile. 121 131 The 90th percentile is 68 (Round to the nearest integer as needed.) 179 c. How might the airline use these results to manage its ticketing counter operations? 40 685 While the mean is approximately second(s), the upper three standard deviation range is approximately second(s). They could try to identify the and adjust their staffing toward these times. 48 (Round to two decimal places as needed.) 157
Transcribed Image Text:The data provided list a sample of the time in seconds to process customers at a ticket counter. A frequency distribution and histogram of the data are also provided. Complete parts a through c. Service times data Click here to view the data. Click here to view a frequency distribution and histogram of the data. ..... Times (sec.) a. Summarize the data using the Descriptive Statistics tool. What can you say about the shape of the distribution of times? (Type integers or decimals rounded to two decimal places as needed.) 28 Mean 345 Standard Error 204 68 Median 177 Mode 32 Standard Deviation 41 66 Sample Variance 47 Kurtosis 62 Skewness 141 350 Range 116 Minimum 15 Maximum 35 110 Sum 151 Count 166 288 What can you say about the shape of the distribution of times? 129 The V values suggest that the distribution is 130 192 b. Find the 90th percentile. 121 131 The 90th percentile is 68 (Round to the nearest integer as needed.) 179 c. How might the airline use these results to manage its ticketing counter operations? 40 685 While the mean is approximately second(s), the upper three standard deviation range is approximately second(s). They could try to identify the and adjust their staffing toward these times. 48 (Round to two decimal places as needed.) 157
The data provided list a sample of the time in seconds to process customers at a ticket counter. A frequency distribution and histogram of the data are also provided. Complete parts a through c. Click here to view the data, Click here to view a frequency distribution and histogram of the data. Frequency distribution and histogram a. Summarize the data using the Descriptive Statistics tool. What can you say about the shape of the distribution of times? (Type integers or decimals rounded to two decimal places as needed.) Mean Bin Frequency Histogram Standard Error 15- Median 50 8 Mode 100 4 Standard Deviation 150 7 200 6. Sample Variance 10- 250 1 Kurtosis 300 1 Skewness 350 2 Range 400 Minimum 450 Maximum 500 Sum 550 Count 600 More 1 O 50 100 150 200 250 300 350 400 450 500 550 600 More What can you say about the shape of the distribution of times? The V values suggest that the distribution is b. Find the 90th percentile. Print Done The 90th percentile is (Round to the nearest integer as needed.) c. How might the airline use these results to manage its ticketing counter operations? While the mean is approximately second(s), the upper three standard deviation range is approximately second(s). They could try to identify the and adjust their staffing toward these times. (Round to two decimal places as needed.) requenoy
Transcribed Image Text:The data provided list a sample of the time in seconds to process customers at a ticket counter. A frequency distribution and histogram of the data are also provided. Complete parts a through c. Click here to view the data, Click here to view a frequency distribution and histogram of the data. Frequency distribution and histogram a. Summarize the data using the Descriptive Statistics tool. What can you say about the shape of the distribution of times? (Type integers or decimals rounded to two decimal places as needed.) Mean Bin Frequency Histogram Standard Error 15- Median 50 8 Mode 100 4 Standard Deviation 150 7 200 6. Sample Variance 10- 250 1 Kurtosis 300 1 Skewness 350 2 Range 400 Minimum 450 Maximum 500 Sum 550 Count 600 More 1 O 50 100 150 200 250 300 350 400 450 500 550 600 More What can you say about the shape of the distribution of times? The V values suggest that the distribution is b. Find the 90th percentile. Print Done The 90th percentile is (Round to the nearest integer as needed.) c. How might the airline use these results to manage its ticketing counter operations? While the mean is approximately second(s), the upper three standard deviation range is approximately second(s). They could try to identify the and adjust their staffing toward these times. (Round to two decimal places as needed.) requenoy
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