MY NOTESASK YOUR TEACHERPRACTICE ANOTHERFor a certain company, the monthly percentages of all shipments received on time over the past 12 months are s0, 2, 84, 83,84, 84, 85, 85, 82, 83, 84, and 83.(a) Construct a time series plot.868578770123456789 10 11 12 13123456 789 10 11 12 13MonthMonth0 123 4 5 6789 10 11 12 1312345678 9 10 11 12 13MonthManthWhat type of pattern exists in the data?O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontalpattern.The first two points may be an indication of a shift to a new level, but overall the time series plot exhbits a cyclicalpattern.The first two points may be an indication of a shift to a new level, but overal the time series plot exhibits a seasonalpattern,The last two points may be an indication of a shift to a new level, but overall the time series plot exhibits a hortzontalpattern.Overall, the time series plot exhibits a consistent trend patterm.(b) Compare the three-month moving average approach with the exponential smoothing approach for a01.Compute the MSE for the three-month moving approach. (Round your answer to two decimal places.)Compute the MSE for the exponential smoothing approach for a = 0.1. (Round your answer to two decimal places.)Which provides more accurate forecasts using MSE as the measure of forecast accuracy?O An exponential smoothing approach with a- 0.1 provides the most accurate forecast using MSE.A 3-month moving average provides the most accurate forecast using MSE.Both approaches provide the same level of accuracy using MSE.(c) Using the more accurate approach, what is the forecast for next month? (Round your answer to two decimal places.)

a) Enter the data into the excel sheet as follows: a) The time series plot is constructed below.…

Answered: for a certain company, the monthy…

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. 5 b. 10 c. 16 d. 21
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3
Compute the three week and four week moving averages for the time series? 240,350,230,260,280,320,220,310,240,310,240,310,240,230
Use Table 12-2 to calculate the present value (in $) of the ordinary annuity. (Round your answer to the nearest cent.) Nominal Annuity Payment Payment Frequency Time Interest Present Value Period (years) Rate (%) Compounded of the Annuity $4,000 every year 20 4 annually
Calculate the 3 yearly and 5 yearly moving averages for the following time series : 1988 1989 1990 1991 | 1992| 1993 1994 | 1995 | 1996 1997 1998 Year : Prodn. (in quintals) : 500 540 550 | 530 520 560 600 640 620 610 640
Question z Sales of a telephone answering machine for the last two ycars are given below: Year Jan Feb Mar April May Jun Jul Aug Sep Oct Nov Dec 1 180 175 180 190 195 210 220 200 198 202 195 185 2 190 180 185 198 202 215 230 210 195 196 205 190 i) Find the seasonal index for cach of the months. Need handwritten answers with proper workings
1. A sales manager would like to see his sales representative’s unit sales per month. The secretary was told to keep a monthly record of the sales. The following are the data from the previous months (in ascending order): 5, 6, 8, 10, 10, 14, 15, 16, 16, 17, 17, 18, 19, 21, 21, 23, 26, 27, 28, 28, 28, 30, 38, 43. Compute for the median and mode. What is the range for the monthly sales?
A particular report included the following table classifying 816 fatal bicycle accidents that occurred in a certain year according to the time of day the accident occurred. Time of Day Number of Accidents midnight to 3 a.m. 46 3 a.m. to 6 a.m. 50 6 a.m. to 9 a.m. 85 9 a.m. to noon 72 noon to 3 p.m. 79 3 p.m. to 6 p.m. 157 6 p.m. to 9 p.m. 193 9 p.m. to midnight 134 For purposes of this exercise, assume that these 816 bicycle accidents are a random sample of fatal bicycle accidents. Do these data support the hypothesis that fatal bicycle accidents are not equally likely to occur in each of the 3-hour time periods used to construct the table? Test the relevant hypotheses using a significance level of a = 0.05. Let P1. P2: P3: P4 Ps: Pe: P7, and Pg be the proportions of accidents occurring in the eight different time periods. State the appropriate null and alternative hypotheses. O Ho: P1 = P2 = P3 = P4 = Ps = P6 = P7 = Pg = 816 H: Ho is not true. O Ho: P1 = P2 = P3 = P4 = P5 = P6 = P7 =…
and and to 40 customers. Construct a frequency table of the balances due taking the class intervals as Rs. 50 c 3.10. The credit office of a departmental store gave the following statements for payment due under Rs. 200, Rs. 200 and under Rs. 350, etc. Also find the percentage cumulative frequencies c interpret these values.
5. 200 180 160 140 120 Cumulative frequency 100 (sh) 80 60 A 40 20 0 0 10 20 ii) the upper quartile 40 30 50 Number of hours worked (h) iii) the inter-quartile range 60 70 200 people record the number of hours they work in a week. The cumulative frequency graph shows this information. a) Use the graph to find: i) the median 80 iv) the number of people who work more than 60 hours in a week
1)

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for a certain company, the monthy percentages ot al hipments received on time over the past 12 months are , 2, , , 4, 4, 85, 5, 2, 83, 4, and 3 (4) Construct a time series plot. 36789 10 11 12 1 430710 11 12 13 Month Month Monthly Percentage aeyuaa Monthly Percentage