a. Fill the following table and provide evident that you ask 6 students. Student # 1 3 4 6. Hours 4 2 2.5 1.5 b. Calculate all central tendency measurements of the time. c. Calculate all dispersion measurements of the time.
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- The MAD for the forecast developed using a weighted 2-year moving average with weights of 0.350.35 and 0.650.65 is what?Which of the above forecasts has lowest magnitude in relative terms? a. 3-period moving average B. Simple Moving Average c. (6,4,3,2) D. Alpha = .3An insurance investigator has observed that people with some astrological signs tend to be safer drivers than people with other signs. Using insurance records, the investigator classified 150 people according to their astrological signs and whether or not they were involved in a car accident during the previous 12 months. Do the following data indicate a significant relationship between sign and accidents? Test with a = .05. Libra Leo Gemini Accident 7 4 19 No Accident 73 46 1
- The cost of five homes in a certain area is given.164000 172000 192000 162000 1242000Which measure of central tendency should be used?From the following data points (15, 24), (18, 37), (22, 25), find the Newton’s second-order divided difference. Round-off to three decimals.John Kittle, an independent insurance agent, uses a five-year moving average to forecast the number of claims made in a single year for one of the large insurance companies he sells for. He has just discovered that a clerk in his employ incorrectly entered the number of claims made four years ago as 1,400 when it should have been 1,200.a. What adjustment should Mr. Kittle make in next year’s forecast to take into account the corrected value of the number of claims four years ago?b. Suppose that Mr. Kittle used simple exponential smoothing with a = .2instead of moving averages to determine his forecast. What adjustment is now required in next year’s forecast? (Note that you do not need to know the value of the forecast for next year in order to solve this problem.)
- Consider the following data where "x" represents days starting on April 1,2020 and "y" is the number of cumulative deaths in Massachusetts attributed to Covid 19. 1.) Use the equation to predict the number of cumulative deaths as of June 14, 2020. Answer with a complete sentence "The predicted number of deaths by June 14 isThe problem is based on the following data given. Observations of the demand for a certain part stocked at a parts supply depot during the calendar year 2013 were ( as shown ). What would an MA(1) forecasting method mean? Compare the accuracy of MA(1) and MA(4) forecasts for July through December 2013.Kaitlyn measures the upload speed in megabits per second of her home broadband internet connection during peak hours and off-peak hours. The results are provided in the accompanying table. Peak Off-Peak 5.83 5.14 6.05 6.80 7.14 6.98 3.54 5.77 5.45 7.27 5.90 6.62 5.81 6.19 4.82 6.08 6.37 6.59 4.65 5.58 5.30 7.41 6.48 6.26 5.96 6.37 5.79 6.31 6.84 6.55 5.06 4.95 5.61 7.03 6.45 6.77 Examine the results of Kaitlyn's test to determine the statements that compare the medians and interquartile ranges of the data sets to each other in terms of this situation. Select the two correct answers. The median upload speed during peak hours is 5.905 megabits per second, which is less than the median upload speed during off-peak hours, 7.005 megabits per second. The upload speeds during peak hours are slower on average compared to off-peak times. The median upload speed during peak hours is 6.37 megabits per second, which is greater than the median upload speed during…
- Obtain the descriptive statistics for each strain. And interpret itThe following pairs of observations tell the result of the laboratory experiment yand the temperature x at which the laboratory experiment was carried out. Observations as following: i xi yi i xi yi1 100 45 7 150 692 110 51 8 160 743 120 54 9 170 784 125 53 10 180 865 130 59 11 190 896 140 63 12 200 94 So the question regarding the table above would be (a) Draw a scatter diagram of the table. (b) Visually draw a line that fits the data (in table) as well as possible.(c) Fit a linear model to the data, i.e. estimate the PNS estimates of the regression line. Compare the regression line you get with the one you drew in (b) (ie compare the slopes/intercepts).(d) Predict the result of the laboratory experiment when the experiment is performed at a temperature of 185. R software or other software for linear regressions should not be used to solve this.Suppose a bee follows the trajectory, at what values of T is the bee flying vertically and or horizontally?