A local pizza place claims that they average a delivery time of 6.01 minutes. To test this claim, you order 11 pizzas over the next month at random times on random days of the week. You calculate that the average delivery time is 8.33 minutes with a standard deviation of 1.149 minutes. You create a 99% confidence interval of (7.23, 9.43). Of those listed below, what is the best conclusion you can make? Question 3 options: 1) The percentage of pizzas that arrive around 6.01 minutes is 99%. 2) You are 99% confident that the average delivery time is less than 6.01 minutes. 3) You are 99% confident that the average delivery time is greater than 6.01 minutes. 4) The average delivery time does not significantly differ from 6.01 minutes. 5) We cannot determine the proper interpretation based on the information given.It is believed that using a solid state drive (SSD) in a computer results in faster boot times when compared to a computer with a traditional hard disk (HDD). You sample a group of computers and use the sample statistics to calculate a 90% confidence interval of (-3.79, 6.59). This interval estimates the difference of (average boot time (HDD) - average boot time (SSD)). What can we conclude from this interval? Question 5 options: 1) We do not have enough information to make a conclusion. 2) We are 90% confident that the average boot time of all computers with an SSD is greater than the average of all computers with an HDD. 3) We are 90% confident that the difference between the two sample means falls within the interval. 4) We are 90% confident that the average boot time of all computers with an HDD is greater than the average of all computers with an SSD. 5) There is no significant difference between the average boot time for a computer with an SSD drive and one with an HDD drive at 90% confidence. A pharmaceutical company is testing a new drug to increase memorization ability. It takes a sample of individuals and splits them randomly into two groups. After the drug regimen is completed, all members of the study are given a test for memorization ability with higher scores representing a better ability to memorize. Those 30 participants on the drug had an average test score of 31.062 (SD = 3.184), while those 25 participants not on the drug had an average score of 29.991 (SD = 5.85). You use this information to create a 90% confidence interval for the difference in average test score of (-1.008, 3.15). Which of the following is the best interpretation of this interval? Question 6 options: 1) We are 90% sure that the average difference in test score of all people who would take the drug and people not on the drug in the state the study was completed in is between -1.008 and 3.15. 2) We are 90% confident that the difference between the average test score of people who would take drug in the study and people not on the drug in the study is between -1.008 and 3.15. 3) We are 90% confident that the difference between the average test score of all people who would take drug and all people not taking the drug is between -1.008 and 3.15. 4) We do not know the population means so we do not have enough information to make an interpretation. 5) We are certain that the difference between the average test score of all people who would take drug and all people not taking the drug is between -1.008 and 3.15.

Note:- “Since you have posted multiple questions, we will provide the solution only to the first…

Answered: that the average delivery time is 8.33…

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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A local pizza place claims that they average a delivery time of 6.01 minutes. To test this claim, you order 11 pizzas over the next month at random times on random days of the week. You calculate that the average delivery time is 8.33 minutes with a standard deviation of 1.149 minutes. You create a 99% confidence interval of (7.23, 9.43). Of those listed below, what is the best conclusion you can make?

Question 3 options:

1)	The percentage of pizzas that arrive around 6.01 minutes is 99%.

2)	You are 99% confident that the average delivery time is less than 6.01 minutes.

3)	You are 99% confident that the average delivery time is greater than 6.01 minutes.

4)	The average delivery time does not significantly differ from 6.01 minutes.

5)	We cannot determine the proper interpretation based on the information given.

It is believed that using a solid state drive (SSD) in a computer results in faster boot times when compared to a computer with a traditional hard disk (HDD). You sample a group of computers and use the sample statistics to calculate a 90% confidence interval of (-3.79, 6.59). This interval estimates the difference of (average boot time (HDD) - average boot time (SSD)). What can we conclude from this interval?

Question 5 options:

1)	We do not have enough information to make a conclusion.

2)	We are 90% confident that the average boot time of all computers with an SSD is greater than the average of all computers with an HDD.

3)	We are 90% confident that the difference between the two sample means falls within the interval.

4)	We are 90% confident that the average boot time of all computers with an HDD is greater than the average of all computers with an SSD.

5)	There is no significant difference between the average boot time for a computer with an SSD drive and one with an HDD drive at 90% confidence.

A pharmaceutical company is testing a new drug to increase memorization ability. It takes a sample of individuals and splits them randomly into two groups. After the drug regimen is completed, all members of the study are given a test for memorization ability with higher scores representing a better ability to memorize. Those 30 participants on the drug had an average test score of 31.062 (SD = 3.184), while those 25 participants not on the drug had an average score of 29.991 (SD = 5.85). You use this information to create a 90% confidence interval for the difference in average test score of (-1.008, 3.15). Which of the following is the best interpretation of this interval?

Question 6 options:

1)	We are 90% sure that the average difference in test score of all people who would take the drug and people not on the drug in the state the study was completed in is between -1.008 and 3.15.

2)	We are 90% confident that the difference between the average test score of people who would take drug in the study and people not on the drug in the study is between -1.008 and 3.15.

3)	We are 90% confident that the difference between the average test score of all people who would take drug and all people not taking the drug is between -1.008 and 3.15.

4)	We do not know the population means so we do not have enough information to make an interpretation.

5)	We are certain that the difference between the average test score of all people who would take drug and all people not taking the drug is between -1.008 and 3.15.

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