The owner of a pizza restaurant in France knows that the time customers spend in the restaurant on Saturday evening has mean 9090 minutes and standard deviation 1515 minutes. He has read that pleasant odors can influence customers, so he spreads a lavender odor throughout the restaurant. The times (in minutes) for customers on the next Saturday evening are given in the table. 9292 126126 114114 106106 8989 137137 9393 7676 9898 108108 124124 105105 129129 103103 107107 109109 9494 105105 102102 108108 9595 121121 109109 104104 116116 8888 109109 9797 101101 106106 Click to download the data in your preferred format. CSV Excel JMP Mac-Text Minitab14-18 Minitab18+ PC-Text R SPSS TI CrunchIt! A stemplot of the data is given. The distribution is roughly symmetric and single‑peaked, so the distribution of ?⎯⎯⎯�¯ should be close to Normal. Stem Leaf 77 66 88 88 88 99 99 22 33 44 99 55 77 88 1010 11 22 33 44 1010 55 55 66 66 77 88 88 99 99 99 1111 44 1111 66 1212 11 44 1212 66 99 1313 1313 77 Nicolas Guéguen and Christine Petr, "Odors and consumer behavior in a restaurant," International Journal of Hospitality Management, 25 (2006), pp. 335–339. SOLVE: What is the value of the test statistic ??�? Suppose that the standard deviation ?=15�=15 minutes is not changed by the odor. Also assume that there is an SRS. Give your answer to two decimal places. ?=

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 owner of a pizza restaurant in France knows that the time customers spend in the restaurant on Saturday evening has mean 9090 minutes and standard deviation 1515 minutes. He has read that pleasant odors can influence customers, so he spreads a lavender odor throughout the restaurant. The times (in minutes) for customers on the next Saturday evening are given in the table.

9292	126126	114114	106106	8989	137137	9393	7676	9898	108108
124124	105105	129129	103103	107107	109109	9494	105105	102102	108108
9595	121121	109109	104104	116116	8888	109109	9797	101101	106106

Click to download the data in your preferred format.

CSV Excel JMP Mac-Text Minitab14-18 Minitab18+ PC-Text R SPSS TI CrunchIt!

A stemplot of the data is given. The distribution is roughly symmetric and single‑peaked, so the distribution of ?⎯⎯⎯�¯ should be close to Normal.

Stem	Leaf
77	66
88
88	88	99
99	22	33	44
99	55	77	88
1010	11	22	33	44
1010	55	55	66	66	77	88	88	99	99	99
1111	44
1111	66
1212	11	44
1212	66	99
1313
1313	77

Nicolas Guéguen and Christine Petr, "Odors and consumer behavior in a restaurant," International Journal of Hospitality Management, 25 (2006), pp. 335–339.

SOLVE: What is the value of the test statistic ??�? Suppose that the standard deviation ?=15�=15 minutes is not changed by the odor. Also assume that there is an SRS. Give your answer to two decimal places.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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