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. YB. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. O C. The variable "weekly time spent watching television" is likely symmetric, but 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" is likely skewed left, not normally distributed. (b) According to a certain survey, adults spend 2.35 hours per day watching television on a weekday. Assume that the standard deviation for "time spent watching television on a weekday" is 1.93 hours. If a random sample of 50 adults is obtained, describe the sampling distribution of x, the mean amount of time spent watching television on a weekday. x is approximately normal with µ; = 2.35 and o; = 0.272943. (Round to six decimal places as needed.) (c) Determine the probability that a random sample of 50 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.)

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.

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 ] > >

Forest Fires and Acres Burned An environmentalist wants to determine the relationships between the numbers (in thousands) of forest fires over the year and the number (in hundred thousands) of acres burned. The data for  6  recent years are shown.   Number of fires  x       58    47    84    62    57    45     Number of acres burned  y       19    26    51    15    30    15     Send data to Excel Part 1 of 5 Your Answer is correct     (a) Draw the scatter plot for the variables.   Fires and Acres Burned Acres burned  100,000s y 5 10 15 20 25 30 35 40 45 50 55 60 65 70 x 10 20 30 40 50 60 70 80 90 0                   Fires  1000s Part: 1 / 5 1 of 5 Parts Complete   Part 2 of 5       (b) Compute the value of the correlation coefficient. Round your answer to at least three decimal places. r=?

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…

x 59 63 65 69 58 77 76 69 70 64 y 72 67 78 82 75 87 92 83 87 78   Use your calculator to generate a scatter plot of the data.  Don't forget to use ZoomStat to get an appropriate range of values.  A reasonable freehand sketch is appropriate. Do the data form an approximate linear relationship.  Explain in 1 - 2 complete sentences. Consider the notion of causation.  Does attitude "cause" performance?  Explain in 1 - 2 complete sentences.

Basketball: Fouls Data for this problem are based on information from STATS Basketball Scoreboard. It is thought that basketball teams that make too many fouls in a game tend to lose the game even if they otherwise play well. Let x be the number of fouls that were more than (i.e., over and above) the number of fouls made the opposing team made. Let y be the percentage of times the team with the larger number of fouls won the game. x 0 2 5 6 y 50 45 33 26   Graph the least-squares line on your scatter diagram. Be sure to use the point ( ,  ) as one of the points on the line. Interpretation Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in  x and the least-squares line? What percentage is unexplained? If a team had x=4 fouls over and above the opposing team, what does the least-squares equation forecast for y?

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…

PLEASE USE THE TABLE PROVIDED TO ANSWER THE QUESTION: John Doe Films is producing the next Batman movie. With the information available for Public Opinion and money Collected on Opening Day, what is the projected amount of money that will be collected if surveys indicate a public opinion of 8.5 for the new Batman movie? Can this projected amount of money be considered an accurate amount? Construct any plot(s)/graph(s) to support your answer.