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The mean waiting time at the drive through of a fast-food restaurant from the me an ordor is placed to liw bme the orde 1LAVADS 38. drive-through system that she belevos wli decroase wail ime. As a tes, she initiates the IOW system al Ir rostaurant ad measures tho ar time for 10 randori y sclected orders. The wait times are provided in the tahle to the right Complete parts (a) and (b) below 95.7 85.1 6/.2 59.8 73.4 69.5 67 2 81.9 E Click the icon to view the table of correlatior coefficient critical values. (a) Because the sample size is smal, the maager must verify hat the wait time is norma'y distriby.ed and the sAmple does nut cnntain any outhors The nnrmal utooability plot s snow below and te sample comrelution AExpected ascoe ITTL T coefficient is known to be t -0 9/0. Are the condtions for testing the hyootnesis satisfied? • thui the :Lent value I-addton, a bxplot does not sow the conditions salisfied 1he porma. probabi ity plot Inea enough, since the coTelasiocoeffientis any outiers. Tme Jel (b) Is the new system effective? Conuct a hypothesis tesi sing the P-va'ue approach and a ENA. of siyificacefa1 First determine the appropriate hypotheses.

The mean waiting time at the drive through of a fast-food restaurant from the me an ordor is placed to liw bme the orde 1LAVADS 38. drive-through system that she belevos wli decroase wail ime. As a tes, she initiates the IOW system al Ir rostaurant ad measures tho ar time for 10 randori y sclected orders. The wait times are provided in the tahle to the right Complete parts (a) and (b) below 95.7 85.1 6/.2 59.8 73.4 69.5 67 2 81.9 E Click the icon to view the table of correlatior coefficient critical values. (a) Because the sample size is smal, the maager must verify hat the wait time is norma'y distriby.ed and the sAmple does nut cnntain any outhors The nnrmal utooability plot s snow below and te sample comrelution AExpected ascoe ITTL T coefficient is known to be t -0 9/0. Are the condtions for testing the hyootnesis satisfied? • thui the :Lent value I-addton, a bxplot does not sow the conditions salisfied 1he porma. probabi ity plot Inea enough, since the coTelasiocoeffientis any outiers. Tme Jel (b) Is the new system effective? Conuct a hypothesis tesi sing the P-va'ue approach and a ENA. of siyificacefa1 First determine the appropriate hypotheses.

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 moan waiting time at the drive through of a fast-food restaurant from the time an order is placed to lie time the order is rcceived is 86.1 seconds. A manage dev sos a new drive-through system that she believos wili decroase wait Lime. As a test, she initiates the now system al Ier rostaurant ard measures tho wai tirme for 10 randor y solected orders. The wait times are provided in the tahle to the right. Complete parts (a) and (b) below 82.3 95.7 85.1 107.9 67.2 59.8 73.4 69.5 67.2 81.9 A Click the icun to view the table of correlation coefficient critical values. (a) Because the sample size is smal, the marvager must verify hat the wait time is normally distribted and the sample does nut contain any outliers The nnrmal probability plot s shown below and tre sample correlation AExpecied score 2 TIT coetticient is known to be 1 =0 9/0. Are the conditions tor testing the hyooinesis satisfied? thai the lcnl valuc I add tion, a boxplot dous nat show V salisfied. The porma prubability plot V linea enough, since the uorelation coetfidient is the conditions I any outlierS. Time (ser (b) Is the new system effective? Conduct a ypothesis tesi sing the P-va'ue approach and a ivei of siynificancesf a 1 First determine the appropriate hypotheses. Next Statcrunch • 9:57 M
Transcribed Image Text:The moan waiting time at the drive through of a fast-food restaurant from the time an order is placed to lie time the order is rcceived is 86.1 seconds. A manage dev sos a new drive-through system that she believos wili decroase wait Lime. As a test, she initiates the now system al Ier rostaurant ard measures tho wai tirme for 10 randor y solected orders. The wait times are provided in the tahle to the right. Complete parts (a) and (b) below 82.3 95.7 85.1 107.9 67.2 59.8 73.4 69.5 67.2 81.9 A Click the icun to view the table of correlation coefficient critical values. (a) Because the sample size is smal, the marvager must verify hat the wait time is normally distribted and the sample does nut contain any outliers The nnrmal probability plot s shown below and tre sample correlation AExpecied score 2 TIT coetticient is known to be 1 =0 9/0. Are the conditions tor testing the hyooinesis satisfied? thai the lcnl valuc I add tion, a boxplot dous nat show V salisfied. The porma prubability plot V linea enough, since the uorelation coetfidient is the conditions I any outlierS. Time (ser (b) Is the new system effective? Conduct a ypothesis tesi sing the P-va'ue approach and a ivei of siynificancesf a 1 First determine the appropriate hypotheses. Next Statcrunch • 9:57 M
The mean waiting time at the drive-through of a fast-food restaurant trom the time an order is placed to thc time the urder is received is 86 1 seconds. A manage devises a now drive-through system that she believes will decrease wait time. As a test, she initiates the new system at her rosta.urant and measures the wait ime for 10 randomly selected orders. The walt times are provided in the table to the right. Complete parts (a) and (b) below 107.9 572 95.7 59 8 85 1 734 69.5 57.2 81 9 A Click the icon to view the tablo of correlation cuefficien: critical values. to = (Round to two decimal places as neoded.) Find the P-value. The P-value is 1 (Round to three decimal places as neded.) Use the a=0.1 level of significance. What can be concluded from the tiyootnesis test? O A. The P-Value is less than the level of sigrificance so there is not sufficien: evidence conciude the new system is fective O B. The P-vaiue is greater than the leve! of significance so there is not sufficient evidence tu conclude the new systemsfective. OC. The P-value is less than the level of significance so there is sulticient evidence to conclude he new sy rem is ullestive. O D. The P-value is greater than the level of signficance so there is sufficient evidunce to cUnelede he new ystem s ifectivu Next Statcrunch A Vi 9:57
Transcribed Image Text:The mean waiting time at the drive-through of a fast-food restaurant trom the time an order is placed to thc time the urder is received is 86 1 seconds. A manage devises a now drive-through system that she believes will decrease wait time. As a test, she initiates the new system at her rosta.urant and measures the wait ime for 10 randomly selected orders. The walt times are provided in the table to the right. Complete parts (a) and (b) below 107.9 572 95.7 59 8 85 1 734 69.5 57.2 81 9 A Click the icon to view the tablo of correlation cuefficien: critical values. to = (Round to two decimal places as neoded.) Find the P-value. The P-value is 1 (Round to three decimal places as neded.) Use the a=0.1 level of significance. What can be concluded from the tiyootnesis test? O A. The P-Value is less than the level of sigrificance so there is not sufficien: evidence conciude the new system is fective O B. The P-vaiue is greater than the leve! of significance so there is not sufficient evidence tu conclude the new systemsfective. OC. The P-value is less than the level of significance so there is sulticient evidence to conclude he new sy rem is ullestive. O D. The P-value is greater than the level of signficance so there is sufficient evidunce to cUnelede he new ystem s ifectivu Next Statcrunch A Vi 9:57
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