OB. If 1000 different random samples of size n = 35 individuals from a population whose mean is assumed to be 2.45 hours is obtained, we would expect a sample mean of 1.99 or more in aboutof the samples.OC. If 1000 different random samples of size n = 35 individuals from a population whose mean is assumed to be 2.45 hours is obtained, we would expect a sample mean of exactly 1.99 in aboutof the samples.Based on the result obtained, do you think avid Internet users watch less television?O NoYes The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d).(a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have?OA. The variable "weekly time spent watching television" is likely normally distributed.OB. The variable "weekly time spent watching television" is likely uniform, not normally distributed.OC. The variable "weekly time spent watching television" is likely skewed right, not normally distributed.O D. The variable "weekly time spent watching television" is likely skewed left, not normally distributed.O E. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed.C(b) According to a certain survey, adults spend 2.45 hours per day watching television on a weekday. Assume that the standard deviation for "time spent watching television on a weekday" is 1.93hours. If a random sample of 40 adults is obtained, describe the sampling distribution of x, the mean amount of time spent watching television on a weekday.with μ=and o=0.(Round to six decimal places as needed.)(c) Determine the probability that a random sample of 40 adults results in a mean time watching television on a weekday of between 2 and 3 hours.The probability is(Round to four decimal places as needed.)(d) One consequence of the popularity of the Internet i that it is thought to reduce television watching. Suppose that a random sample of 35 individuals who consider themselves to be avid Internetusers results in a mean time of 1.99 hours watching television on a weekday. Determine the likelihood of obtaining a sample mean of 1.99 hours or less from a population whose mean is presumedto be 2.45 hours.The likelihood is(Round to four decimal places as needed.).Interpret this probability. Select the correct choice below and fill in the answer box within your choice.(Round to the nearest integer as needed.)OA. If 1000 different random samples of size n = 35 individuals from a population whose mean is assumed to be 2.45 hours is obtained, we would expect a sample mean of 1.99 or less in aboutof the samples.OB. If 1000 different random samples of size n = 35 individuals from a population whose mean is assumed to be 2.45 hours is obtained, we would expect a sample mean of 1.99 or more in aboutof the samples.

The mean of the sampling distribution is, μx¯=μ The standard deviation of the sampling distribution…

Answered: The amount of time adults spend…

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 amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). ..... (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. B. The variable "weekly time spent watching television" is likely uniform, not normally distributed. C. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. D. The variable "weekly time spent watching television" is likely normally distributed. E. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. (b) According to a certain survey, adults spend 2.25 hours per day watching television on a weekday. Assume that the standard deviation for "time…
An economist want to determine the relation between one’s FICO score, x, and the interest rate of a 36-month auto loan, y. The given data represent the interest rate (in percent) a bank would offer on a 36-month auto load for various FICO scores. Credit Score;x Interest Rate (percent);y 545 18.982 595 17.967 640 12.218 675 8.612 705 6.68 750 5.15 Find the least-squares regression line treating the FICO score as the explanatory variable and the interest rate as the response variable. Predict the interest rate a person would pay if their FICO score were the median score of 723.
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Short Answer 1: Define each variable by type (categorical or numerical) and sub-type (nominal, ordinal, continuous, or discrete): Weight: [ Select ] Shoe Size: [ Select ] Letter Grade (A, B, C, ...): [ Select ] Occupation: [ Select ] Money in Your Pocket: [ Select ] Area Code: [ Select ] > >
The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely normally distributed. O B. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. O C. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O D. The variable "weekly time spent watching television" is likely uniform, not normally distributed. E. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. (b) According to a certain survey, adults spend 2.25 hours per day watching television on a weekday. Assume that the standard deviation for "time…
The scatter plot shows the relationship between the number of minutes studying for a test (x) and the number of mistakes made (y). The graph shows the scatterplot of the data and a fitted line. 19+ 18 17 16 15 14 13 12 10 4 -10 10 20 30 40 50 60 70 80 90 100 lio a2 Select True or False for each statement based on the scatter plot. True/False There is a negative association between the amount of time studying for a test and the number of mistakes made. True False Students who studied for a longer period of time tended to make more mistakes. True False There is a linear association between time True False studying and number of mistakes.
The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? O A. The variable "weekly time spent watching television" is likely uniform, not normally distributed. O B. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O C. The variable "weekly time spent watching television" is likely normally distributed. O D. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. O E. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. (b) According to a certain survey, adults spend 2.45 hours per day watching television on a weekday. Assume that the standard deviation for…
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The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). C (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. OB. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. O C. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O D. The variable "weekly time spent watching television" is likely normally distributed. O E. The variable "weekly time spent watching television" likely uniform, not normally distributed. (b) According to a certain survey, adults spend 2.45 hours per day watching television on a weekday. Assume that the standard deviation for "time…
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