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ALEKS Statistics Random Variables and Distributions, Math Assignment Homework Help
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Advanced mathematical decision making
2 assignments check attached file for other AMDM Television Aspect Ratio Tiered Activity A
A movie with an aspect rat ...
Advanced mathematical decision making
2 assignments check attached file for other AMDM Television Aspect Ratio Tiered Activity A
A movie with an aspect ratio of 1.95:1 is shown as a letterboxed image on a 72-inch 16:9 television. Calculate the height of the image, the area of the image, the height of each black bar at the top and the bottom of the screen, and area of each black bar on the screen.
Draw a picture (letterboxed bars top and bottom)Calculate x using Pythagorean’s thmCalculate width and height and area of TV (Area= width*height)Which dimension is the same between the image and TV (the height or width)? Calculate y.Calculate width and height and area of image?Calculate percent of area. (Percent Area= area of image/area of TV *100)Calculate width black bar. ((height of TV – height of image)/2)Calculate area of black bar.
2) A movie with an aspect ratio of 1.15:1 is shown as a pillarboxed image on a 42-inch 4:3 television. Calculate the height of the image, the area of the image, the width of each black bar at the sides of the screen, and area of each black bar on the screen.
Draw a picture (letterboxed bars top and bottom)Calculate x using Pythagorean’s theoremCalculate width and height and area of TV (Area= width*height)Which dimension is the same between the image and TV (the height or width)? Calculate y.Calculate width and height and area of image?Calculate percent of area. (Percent Area= area of image/area of TV *100)Calculate width black bar. ((width of TV – width of image)/2)Calculate area of black bar.
MA215 Grantham University ROI Data Project
Project Week 7Using the ROI data set: For each of the two majors: Draw the scatter diagram of Y = ‘Annual % ROI’ again ...
MA215 Grantham University ROI Data Project
Project Week 7Using the ROI data set: For each of the two majors: Draw the scatter diagram of Y = ‘Annual % ROI’ against X = ‘Cost’.Obtain b0 and b1 of the regression equation defined as y ̂ =
b0 + b1X and the coefficient of determination (r2) from the Excel
regression output. Draw the fitted regression line on the scatter diagram.Calculate the estimated ‘Annual % ROI’ when the ‘Cost’ (X) is $160,000.Test the hypothesis:
H0: β1 = 0Ha: β1 ≠ 0 Write a paragraph or more on any observations you make about
the regression estimates, coefficient of determination, the plots, and
the results of your hypothesis tests.Data attached
Standard Error T Stat & P Value Inferential Statistic & Estimation Worksheet
PromptIn a previous lab we tested the following hypotheses, 𝐻0H0: 𝜇=4.73μ=4.73 and 𝐻𝑎Ha: 𝜇<4.73μ<4. ...
Standard Error T Stat & P Value Inferential Statistic & Estimation Worksheet
PromptIn a previous lab we tested the following hypotheses, 𝐻0H0: 𝜇=4.73μ=4.73 and 𝐻𝑎Ha: 𝜇<4.73μ<4.73 (where 𝜇μ is the mean number of alcoholic drinks consumed by students at a liberal arts college).In a random sample of 75 students, the mean was 3.93 alcoholic drinks consumed in a week. Here is the StatCrunch output from the hypothesis test.𝜇μ: Mean of variable𝐻0H0: 𝜇=4.73μ=4.73𝐻𝐴HA: 𝜇≠4.73μ≠4.73Hypothesis test resultsVariableSample MeanStd. Err.DFT-StatP-valuenumber of drinks per week3.9333333 0.43592434 74 -1.8275343 0.0717 Using this context and the StatCrunch output, explain the meaning of each of the following.
Std. Err (standard error)T-stat (T-score)P-valueIn a previous matched pairs lab we tested the following hypotheses, where 𝜇μ is the mean of the differences in corn yield for a plot of land (regular seed minus kiln-dried): H0: µ = 0 and Ha: µ < 0. In a random sample of 11 seeds of each type, the mean of the differences in the sample was -33.7. Here is a StatCrunch print-out of the hypothesis test.Paired T hypothesis test:𝜇𝐷=𝜇1−𝜇2μD=μ1−μ2: Mean of the difference between Regular seed and Kiln-dried seed𝐻0H0: 𝜇𝐷=0μD=0𝐻𝐴HA: 𝜇𝐷<0μD<0
Hypothesis test resultsDifferenceMeanStd. Err.DFT-StatP-valueRegular seed - Kiln-dried seed-33.72727319.95134610-1.69047610.0609Differences stored in column, Differences.Using this context and the StatCrunch output, explain the meaning of each of the following.
Std. Err (standard error)T-stat (T-score)P-value.no outside sources and it should answer all questions
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ALEKS Statistics Random Variables and Distributions, Math Assignment Homework Help
I need someone to assist with Statistics in ALEKS through go to meeting. Price is negotiable.
ALEKS Statistics Random Variables and Distributions, Math Assignment Homework Help
I need someone to assist with Statistics in ALEKS through go to meeting. Price is negotiable.
Advanced mathematical decision making
2 assignments check attached file for other AMDM Television Aspect Ratio Tiered Activity A
A movie with an aspect rat ...
Advanced mathematical decision making
2 assignments check attached file for other AMDM Television Aspect Ratio Tiered Activity A
A movie with an aspect ratio of 1.95:1 is shown as a letterboxed image on a 72-inch 16:9 television. Calculate the height of the image, the area of the image, the height of each black bar at the top and the bottom of the screen, and area of each black bar on the screen.
Draw a picture (letterboxed bars top and bottom)Calculate x using Pythagorean’s thmCalculate width and height and area of TV (Area= width*height)Which dimension is the same between the image and TV (the height or width)? Calculate y.Calculate width and height and area of image?Calculate percent of area. (Percent Area= area of image/area of TV *100)Calculate width black bar. ((height of TV – height of image)/2)Calculate area of black bar.
2) A movie with an aspect ratio of 1.15:1 is shown as a pillarboxed image on a 42-inch 4:3 television. Calculate the height of the image, the area of the image, the width of each black bar at the sides of the screen, and area of each black bar on the screen.
Draw a picture (letterboxed bars top and bottom)Calculate x using Pythagorean’s theoremCalculate width and height and area of TV (Area= width*height)Which dimension is the same between the image and TV (the height or width)? Calculate y.Calculate width and height and area of image?Calculate percent of area. (Percent Area= area of image/area of TV *100)Calculate width black bar. ((width of TV – width of image)/2)Calculate area of black bar.
MA215 Grantham University ROI Data Project
Project Week 7Using the ROI data set: For each of the two majors: Draw the scatter diagram of Y = ‘Annual % ROI’ again ...
MA215 Grantham University ROI Data Project
Project Week 7Using the ROI data set: For each of the two majors: Draw the scatter diagram of Y = ‘Annual % ROI’ against X = ‘Cost’.Obtain b0 and b1 of the regression equation defined as y ̂ =
b0 + b1X and the coefficient of determination (r2) from the Excel
regression output. Draw the fitted regression line on the scatter diagram.Calculate the estimated ‘Annual % ROI’ when the ‘Cost’ (X) is $160,000.Test the hypothesis:
H0: β1 = 0Ha: β1 ≠ 0 Write a paragraph or more on any observations you make about
the regression estimates, coefficient of determination, the plots, and
the results of your hypothesis tests.Data attached
Standard Error T Stat & P Value Inferential Statistic & Estimation Worksheet
PromptIn a previous lab we tested the following hypotheses, 𝐻0H0: 𝜇=4.73μ=4.73 and 𝐻𝑎Ha: 𝜇<4.73μ<4. ...
Standard Error T Stat & P Value Inferential Statistic & Estimation Worksheet
PromptIn a previous lab we tested the following hypotheses, 𝐻0H0: 𝜇=4.73μ=4.73 and 𝐻𝑎Ha: 𝜇<4.73μ<4.73 (where 𝜇μ is the mean number of alcoholic drinks consumed by students at a liberal arts college).In a random sample of 75 students, the mean was 3.93 alcoholic drinks consumed in a week. Here is the StatCrunch output from the hypothesis test.𝜇μ: Mean of variable𝐻0H0: 𝜇=4.73μ=4.73𝐻𝐴HA: 𝜇≠4.73μ≠4.73Hypothesis test resultsVariableSample MeanStd. Err.DFT-StatP-valuenumber of drinks per week3.9333333 0.43592434 74 -1.8275343 0.0717 Using this context and the StatCrunch output, explain the meaning of each of the following.
Std. Err (standard error)T-stat (T-score)P-valueIn a previous matched pairs lab we tested the following hypotheses, where 𝜇μ is the mean of the differences in corn yield for a plot of land (regular seed minus kiln-dried): H0: µ = 0 and Ha: µ < 0. In a random sample of 11 seeds of each type, the mean of the differences in the sample was -33.7. Here is a StatCrunch print-out of the hypothesis test.Paired T hypothesis test:𝜇𝐷=𝜇1−𝜇2μD=μ1−μ2: Mean of the difference between Regular seed and Kiln-dried seed𝐻0H0: 𝜇𝐷=0μD=0𝐻𝐴HA: 𝜇𝐷<0μD<0
Hypothesis test resultsDifferenceMeanStd. Err.DFT-StatP-valueRegular seed - Kiln-dried seed-33.72727319.95134610-1.69047610.0609Differences stored in column, Differences.Using this context and the StatCrunch output, explain the meaning of each of the following.
Std. Err (standard error)T-stat (T-score)P-value.no outside sources and it should answer all questions
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