g. Thus, the final conclusion is that ... O The data suggest that the population mean number of customers since the ad campaign began is not significantly different from 195 at = 0.10, so there is insufficient evidence to conclude that the population mean number of customers since the ad campaign began is different from 195. O The data suggest the population mean is not significantly different from 195 at a = 0.10, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is equal to 195. O The data suggest the populaton mean is significantly different from 195 at a = 0.10, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is different from 195. h. Interpret the p-value in the context of the study. O f the population mean number of customers since the ad campaign began is 195 and if you collect data for another 13 days since the ad campaign began, then there would be a 12.26584894% chance that the population mean would either be less than 187.9 or greater than 202.1. O There is a 12.26584894% chance that the population mean number of customers since the ad campaign began is not equal to 195. O f the population mean number of customers since the ad campaign began is 195 and if you collect data for another 13 days since the ad campaign began, then there would be a 12.26584894% chance that the sample mean for these 13 days would either be less than 187.9 or greater than 202.1. O There is a 12.26584894% chance of a Type I error. . Interpret the level of significance in the context of the study. O If the population mean number of customers since the ad campaign began is 195 and if you collect data for another 13 days since the ad campaign began, then there would be a 10% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign began is different from 195. O There is a 10% chance that there will be no customers since everyone shops online nowadays. O There is a 10% chance that the population mean number of customers since the ad campaign began is different from 195. If the population mean number of customers since the ad campaign began is different from 195 and if you collect data for another 13 days since the ad campaign began, then there would be a 10% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign is equal to 195.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Please solve for parts G, H, and I.

**Transcription of Text for Educational Website:**

e. The p-value is [ ? ] < α

f. Based on this, we should [Select an answer ▼] the null hypothesis.

g. Thus, the final conclusion is that ...

- ( ) The data suggest that the population mean number of customers since the ad campaign began is not significantly different from 195 at α = 0.10, so there is insufficient evidence to conclude that the population mean number of customers since the ad campaign began is different from 195.

- ( ) The data suggest the population mean is not significantly different from 195 at α = 0.10, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is equal to 195.

- ( ) The data suggest the population mean is significantly different from 195 at α = 0.10, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is different from 195.

h. Interpret the p-value in the context of the study.

- ( ) If the population mean number of customers since the ad campaign began is 195 and if you collect data for another 13 days since the ad campaign began, then there would be a 12.26584894% chance that the population mean would either be less than 187.9 or greater than 202.1.

- ( ) There is a 12.26584894% chance that the population mean number of customers since the ad campaign began is not equal to 195.

- ( ) If the population mean number of customers since the ad campaign began is 195 and if you collect data for another 13 days since the ad campaign began, then there would be a 12.26584894% chance that the sample mean for these 13 days would either be less than 187.9 or greater than 202.1.

- ( ) There is a 12.26584894% chance of a Type I error.

i. Interpret the level of significance in the context of the study.

- ( ) If the population mean number of customers since the ad campaign began is 195 and if you collect data for another 13 days since the ad campaign began, then there would be a 10% chance that we would end up falsely concluding that the population mean number of customers since the ad campaign began is different from 195.

- ( ) There is a
Transcribed Image Text:**Transcription of Text for Educational Website:** e. The p-value is [ ? ] < α f. Based on this, we should [Select an answer ▼] the null hypothesis. g. Thus, the final conclusion is that ... - ( ) The data suggest that the population mean number of customers since the ad campaign began is not significantly different from 195 at α = 0.10, so there is insufficient evidence to conclude that the population mean number of customers since the ad campaign began is different from 195. - ( ) The data suggest the population mean is not significantly different from 195 at α = 0.10, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is equal to 195. - ( ) The data suggest the population mean is significantly different from 195 at α = 0.10, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is different from 195. h. Interpret the p-value in the context of the study. - ( ) If the population mean number of customers since the ad campaign began is 195 and if you collect data for another 13 days since the ad campaign began, then there would be a 12.26584894% chance that the population mean would either be less than 187.9 or greater than 202.1. - ( ) There is a 12.26584894% chance that the population mean number of customers since the ad campaign began is not equal to 195. - ( ) If the population mean number of customers since the ad campaign began is 195 and if you collect data for another 13 days since the ad campaign began, then there would be a 12.26584894% chance that the sample mean for these 13 days would either be less than 187.9 or greater than 202.1. - ( ) There is a 12.26584894% chance of a Type I error. i. Interpret the level of significance in the context of the study. - ( ) If the population mean number of customers since the ad campaign began is 195 and if you collect data for another 13 days since the ad campaign began, then there would be a 10% chance that we would end up falsely concluding that the population mean number of customers since the ad campaign began is different from 195. - ( ) There is a
Before the furniture store began its ad campaign, it averaged 195 customers per day. The manager is investigating if the average has changed since the ad came out. The data for the 13 randomly selected days since the ad campaign began is shown below:

185, 223, 178, 207, 221, 186, 201, 201, 189, 221, 219, 194, 202

Assuming that the distribution is normal, what can be concluded at the α = 0.10 level of significance?

a. For this study, we should use [Select an answer]

b. The null and alternative hypotheses would be:

\( H_0: \) [Select an answer]

\( H_1: \) [Select an answer]

c. The test statistic [Select an answer] = _______ (please show your answer to 3 decimal places.)

d. The p-value = ________ (Please show your answer to 4 decimal places.)

e. The p-value is [Select an answer] α

f. Based on this, we should [Select an answer] the null hypothesis.
Transcribed Image Text:Before the furniture store began its ad campaign, it averaged 195 customers per day. The manager is investigating if the average has changed since the ad came out. The data for the 13 randomly selected days since the ad campaign began is shown below: 185, 223, 178, 207, 221, 186, 201, 201, 189, 221, 219, 194, 202 Assuming that the distribution is normal, what can be concluded at the α = 0.10 level of significance? a. For this study, we should use [Select an answer] b. The null and alternative hypotheses would be: \( H_0: \) [Select an answer] \( H_1: \) [Select an answer] c. The test statistic [Select an answer] = _______ (please show your answer to 3 decimal places.) d. The p-value = ________ (Please show your answer to 4 decimal places.) e. The p-value is [Select an answer] α f. Based on this, we should [Select an answer] the null hypothesis.
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