Numerade

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Ivan Kochetkov

Numerade educator

Seniors want to use technology to stay connected, read magazines and emails, share photos and ideas, listen to music, find recipes and discount coupons, and much more. The Ontario Society of Senior Citizens Organizations (OSSCO) offers a variety of computer training opportunities, including using self-help instructions on iPad technology. Consulting with 20 seniors helped OSSCO develop these self-help instructions for both individual users and trainers who work with seniors. The ages of the seniors are listed below. 74 77 72 82 92 80 67 95 71 94 75 98 82 68 87 69 74 87 76 79 What is the median of the observations? 80.5 74 78 82.5

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Lucas Finney

Numerade educator

Two variables, floor area (x1) and number of parking spaces (x2), are being used in the following multiple regression model to predict daily sales at a large supermarket chain. E(y) = 1,482 + 0.7x1 + 10x2. What is the change in E(y) when x1 is changed from 3 to 4 and x2 is remains at 5? 0.7 8.6 10.0 10.7

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Supreeta N

Numerade educator

The federal government of Canada believes that the average response times of emergency services vary too much across the country. To investigate this, the government obtained independent random samples of 10 response times from each of three large cities. In order to compare the mean response times for the three cities, the data were subjected to an analysis of variance. The results of the ANOVA are summarized in the table below. How would the p-value of the ANOVA F-test be interpreted with ? = 0.01? | Source | df | SS | MS | F | | :--- | :--- | :--- | :--- | :--- | | Group | 2 | 0.467 | 0.234 | 0.636 | | Error | 27 | 9.9 | 0.367 | | | Total | 29 | | | | - The variances of the response times for the three cities differ at ? = 0.01. - The model can be used for predicting the mean response time in a fourth city. - The mean response times do not significantly differ for the three cities at ? = 0.01. - The mean response times differ significantly for the three cities at ? = 0.01.

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David Nguyen

Numerade educator

Given v1 = 6 and v2 = 8, what is P(F > 4.65)? Question 8 options: 0.025 0.01 0.05 0.10 How would I manually calculate this? I can only us a Texas Instruments Business Analyst calculator called BAIIPlus

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INSTANT ANSWER

The customer demand for a particular smart phone during Year 0 to Year 5 is given as 1,056,000, 1,032,000, 1,093,000, 1,024,000, 1,066,000, and 1,072,000. Using the Holt forecasting model with trend, what is the forecasted demand in year 10, where w = 0.4 and v = 0.5? Question 10 options: 1,071,874 1,075,573 1,077,488 1,083,816

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T. L.

Numerade educator

The customer demand for a particular product during the most recent four weeks is given as 1,056, 1,032, 1,093, and 1,024. Using a smoothing constant of w = 0.20, what is the value of the exponentially smoothed series for the coming week? Round to three decimal places. 1,035.552 1,052.448 1,060.432 1,075.888

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Sanchit Jain

Numerade educator

Exponential smoothing with w = 0.70 has been used to calculate forecast values F based on the actual demand data Y. Time period Y F 1 119.5 123.4 2 121.5 120.67 3 122.6 121.251 What is the mean absolute deviation (MAD) of the forecasts? Round to two decimal places. –0.57 2.03 5.91 6.08

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INSTANT ANSWER

To make a decision on whether or not to switch to a different shipping company, 18 random samples of 50 deliveries each were collected and the number of late deliveries out of the respective 50 deliveries was counted. The results are shown below. Sample Late deliveries Sample Late deliveries 1 7 10 3 2 4 11 4 3 4 12 2 4 7 13 6 5 3 14 8 6 4 15 4 7 4 16 3 8 6 17 8 9 2 18 8 What is the centerline used in constructing a p-chart? Round to four decimal places. Question 6 options: 0.0348 0.0967 1.74 4.8333

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A chocolate manufacturer produces small chocolate bars with a target weight of 10 grams. Due to regulations enforced by the Canadian Competition Bureau, the bars typically weigh slightly more than 10 grams. To ensure that the process is in control, 15 random samples of four bars each have been collected over the last three days. See the data in the table. Sample Bar 1 Bar 2 Bar 3 Bar 4 1 10.76 10.14 11.30 10.02 2 10.44 11.56 11.58 11.38 3 10.88 11.44 11.06 11.12 4 10.34 11.14 11.44 11.10 5 10.46 11.02 11.26 10.10 6 10.78 11.08 10.42 11.58 7 10.38 10.76 11.50 10.24 8 11.56 10.50 11.56 10.92 9 10.42 11.16 11.02 10.44 10 11.50 11.10 11.12 11.16 11 10.96 10.82 10.14 11.52 12 10.88 10.10 11.30 10.26 13 10.14 11.30 11.42 11.10 14 11.52 11.36 10.94 11.58 15 10.72 11.58 10.06 10.10 What are the upper and lower control limits for the x-bar chart? Question 5 options: UCL = 11.537, LCL = 10.315 UCL = 11.697, LCL = 10.154 UCL = 12.009, LCL = 9.843 UCL = 14.102, LCL = 7.750

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INSTANT ANSWER

X is a categorical variable with only two possible values. Which of the following is a first-order model relating E(y) to two quantitative independent variables, four quantitative independent variables, and five quantitative independent variables? Question 4 options: E(y) = β1x1 + β2x2 E(y) = β0 + β1x1 + β2x2 + β3x3 + β4x4 + ε E(y) = β1x1 + β2x2 + β3x3 + β4x4 + β5x5 E(y) = β0 + β1x1 + β2x2ε E(y) = β1x1 + β2x2 + β3x3 + β4x4 E(y) = β0 + β1x1 + β2x2 + β3x3 + β4x4 + β5x5 + β6x52 E(y) = β0 + β1x1 + β2x2 E(y) = β0 + β1x1 + β2x2 + β3x3 + β4x4 E(y) = β0 + β1x1 + β2x2 + β3x3 + β4x4 + β5x5 E(y) = β0 + β1x1 + β2x2 + β3x21 + β4x22 E(y) = β0 + β1x1 + β2x2 + β3x3 + β4x1x3 E(y) = β0 + β1x1 + β2x2 + β3x3 + β4x4 + β5x5 + ε

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Yvonne B.