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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…A car manufacturing company that makes three different types of cars wants information about customer satisfaction for cars sold during the previous year. Each customer is asked for the type of car he or she bought last year and to rate his or her level of satisfaction on a scale from 1 to 6. Is/are the variable(s) of interest quantitative or qualitative?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 skewed left, not normally distributed. B. The variable "weekly time spent watching television" is likely normally distributed. C. The variable "weekly time spent watching television" is likely uniform, not normally distributed. D. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. E. The variable "weekly time spent watching television" is likely skewed right, not normally distributed.
- vt 14. Calculate trend values by the method of Least Square from the data given below and estimate the sales for 2007. Year 2000 2001 2002 2003 2004 Sales of GA. (Rs. lakhs) 70 74 80 86 90 上Economics 2. (35) Consider the quarterly sales data:datal = {10, 31, 43, 16, 11, 33, 45, 17, 14, 46, 50, 21, 19, 41, 55,25). a) Forecast demand for 6th month by using 2 month MA. b) Forecast demand for 6th month by using by employing EWMA with a= 0:9 .c) Which forecast result you would prefer? and why?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. O B. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. OC. 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" is 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…
- 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. 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 normally distributed. O E. The variable "weekly time spent watching television" is 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…J 2 Please Describe Age And Income variables.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. OB. 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…
- The data to the right compare the on-time arrival performance of two airlines, X and Y. The table shows the status of 13,423 arrivals for one year. Complete parts (a) through (c) below. Airline X Airline Y On time 6,121 5,090 Delayed 1,138 1,074 Does it appear that a lurking variable might be at work here? How can you tell? Select the correct choice below and, if necessary, fill in the answer boxes to complete your choice. CA. Yes, because the on-time rate for flights to Denver is 85.3 %, whereas the on-time rate for flights to Philadelphia is 84.6 %. This is important since most of airline X's flights go to Denver, whereas most of airline Y's flights go to Philadelphia. (Round to one decimal place as needed.) O B. Yes, because the on-time rate for flights to Dallas is %, whereas the on-time rate for flights to Minneapolis is %. This is important since these two cities have the fewest number of flights. (Round to one decimal place as needed.) O C. Yes, because there appears to be…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. B. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. C. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. D. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. E. The variable "weekly time spent watching television" is likely uniform, 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…Given the following data for demand at the XYZ Company, calculate the monthly forecast for 2003 using a 3-month moving average. Calculate the Forecast, Error, MAD (mean absolute percentage error), Bias and the TS (tracking signal) .