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Part 3 For the following questions, please prepare an Excel file (Document 3) showing how to calculate the answer. Calculate the mean, median and mode for Worksheet 1 for each of the following data series for home runs, strikeouts and batting average: 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Calculate the standard deviation for Worksheet 1 for each of the following data series for home runs, strikeouts and batting average: 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Calculate the correlation coefficient for Worksheet 1 between home runs and strikeouts for each of the following data series 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Calculate the correlation coefficient for Worksheet 1 between home runs and batting average for each of the following data series 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Create a graph that shows average home runs in linear sequence by league. There should be two lines. The vertical axis should show average home runs and the horizontal axis should show year. Create a graph that shows the standard deviation of home runs in linear sequence by league. There should be two lines. The vertical axis should show average standard deviation and the horizontal axis should show year. Create a graph that shows the correlation coefficient between home runs and strikeouts in linear sequence by league. There should be two lines. The vertical axis should show correlation coefficient and the horizontal axis should show year. For the following questions, please submit a word file (Document 4) that responds to each of the three questions. In a brief paragraph or two, discuss your observations above in answering the question of whether there has been an increase in home runs as well as potential explanations as to why. In a brief paragraph or two, explain how can data and data analytics help in answering questions? Can the same concepts be applied in a business setting? Can you provide a potential business question within your own work sphere where TVM principles and/or data analytics can be helpful?

          Part 3
For the following questions, please prepare an Excel file (Document
3) showing how to calculate the answer.
Calculate the mean, median and mode for Worksheet 1 for each of
the following data series for home runs, strikeouts and batting
average:
2008 AL
2008 NL
2009 AL
2009 NL
2018 AL
2018 NL
2019 AL
2019 NL
Calculate the standard deviation for Worksheet 1 for each of
the following data series for home runs, strikeouts and batting
average:
2008 AL
2008 NL
2009 AL
2009 NL
2018 AL
2018 NL
2019 AL
2019 NL
Calculate the correlation coefficient for Worksheet 1 between
home runs and strikeouts for each of the following data
series
2008 AL
2008 NL
2009 AL
2009 NL
2018 AL
2018 NL
2019 AL
2019 NL
Calculate the correlation coefficient for Worksheet 1 between
home runs and batting average for each of the following data
series
2008 AL
2008 NL
2009 AL
2009 NL
2018 AL
2018 NL
2019 AL
2019 NL
Create a graph that shows average home runs in linear sequence
by league. There should be two lines. The vertical axis should show
average home runs and the horizontal axis should show year.
Create a graph that shows the standard deviation of home runs
in linear sequence by league. There should be two lines. The
vertical axis should show average standard deviation and the
horizontal axis should show year.
Create a graph that shows the correlation coefficient between
home runs and strikeouts in linear sequence by league. There should
be two lines. The vertical axis should show correlation coefficient
and the horizontal axis should show year.
For the following questions, please submit a word file (Document
4) that responds to each of the three questions.
In a brief paragraph or two, discuss your observations above in
answering the question of whether there has been an increase in
home runs as well as potential explanations as to why.
In a brief paragraph or two, explain how can data and data
analytics help in answering questions?
Can the same concepts be applied in a business setting? Can you
provide a potential business question within your own work sphere
where TVM principles and/or data analytics can be helpful?
        
Show more…

Added by Angela C.

Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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Part 3 For the following questions, please prepare an Excel file (Document 3) showing how to calculate the answer. Calculate the mean, median and mode for Worksheet 1 for each of the following data series for home runs, strikeouts and batting average: 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Calculate the standard deviation for Worksheet 1 for each of the following data series for home runs, strikeouts and batting average: 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Calculate the correlation coefficient for Worksheet 1 between home runs and strikeouts for each of the following data series 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Calculate the correlation coefficient for Worksheet 1 between home runs and batting average for each of the following data series 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Create a graph that shows average home runs in linear sequence by league. There should be two lines. The vertical axis should show average home runs and the horizontal axis should show year. Create a graph that shows the standard deviation of home runs in linear sequence by league. There should be two lines. The vertical axis should show average standard deviation and the horizontal axis should show year. Create a graph that shows the correlation coefficient between home runs and strikeouts in linear sequence by league. There should be two lines. The vertical axis should show correlation coefficient and the horizontal axis should show year. For the following questions, please submit a word file (Document 4) that responds to each of the three questions. In a brief paragraph or two, discuss your observations above in answering the question of whether there has been an increase in home runs as well as potential explanations as to why. In a brief paragraph or two, explain how can data and data analytics help in answering questions? Can the same concepts be applied in a business setting? Can you provide a potential business question within your own work sphere where TVM principles and/or data analytics can be helpful?
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Part 3 For the following questions, please prepare an Excel file (Document 3) showing how to calculate the answer. Calculate the mean, median and mode for Worksheet 1 for each of the following data series for home runs, strikeouts and batting average: 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Calculate the standard deviation for Worksheet 1 for each of the following data series for home runs, strikeouts and batting average: 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Calculate the correlation coefficient for Worksheet 1 between home runs and strikeouts for each of the following data series 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Calculate the correlation coefficient for Worksheet 1 between home runs and batting average for each of the following data series 2008 AL 2008 NL 2009 AL 2009 NL 2018 AL 2018 NL 2019 AL 2019 NL Create a graph that shows average home runs in linear sequence by league. There should be two lines. The vertical axis should show average home runs and the horizontal axis should show year. Create a graph that shows the standard deviation of home runs in linear sequence by league. There should be two lines. The vertical axis should show average standard deviation and the horizontal axis should show year. Create a graph that shows the correlation coefficient between home runs and strikeouts in linear sequence by league. There should be two lines. The vertical axis should show correlation coefficient and the horizontal axis should show year. For the following questions, please submit a word file (Document 4) that responds to each of the three questions. In a brief paragraph or two, discuss your observations above in answering the question of whether there has been an increase in home runs as well as potential explanations as to why. In a brief paragraph or two, explain how can data and data analytics help in answering questions? Can the same concepts be applied in a business setting? Can you provide a potential business question within your own work sphere where TVM principles and/or data analytics can be helpful?

Sri K.

is-the-number-of-games-won-by-a-major-league-baseball-team-in-a-season-related-to-the-teams-batting-

Is the number of games won by a major league baseball team in a season related to the team's batting average? Consider data from the Baseball Almanac on the number of games won and the batting averages for the 14 teams in the American League for the 2013 Major League Baseball season. The data are listed in the next table. a. If you were to model the relationship between the mean (or expected) number of games won by a major league team and the team's batting average $x,$ using a straight line, would you expect the slope of the line to be positive or negative? Explain. b. Construct a scatterplot of the data. Does the pattern revealed by the scatterplot agree with your answer to part a? c. A MINITAB printout of the simple linear regression is shown above. Find the estimates of the $\beta$ 's on the printout and write the equation of the least squares line. d. Graph the least squares line on your scatterplot. Does your least squares line seem to fit the points on your scatterplot? e. Interpret the estimates of $\beta_{0}$ and $\beta_{1}$ in the words of the problem. f. Conduct a test (at $\alpha=.05$ ) to determine whether the mean (or expected) number of games won by a major league baseball team is positively linearly related to the team's batting average. g. Find the coefficient of determination, $r^{2}$, and interpret its value. h. Do you recommend using the model to predict the number of games won by a team during the 2013 season?

Statistics

sample-1-sample-2-38-37-48-39-26-31-71-73-35-47-73-60-48-60-63-72-56-52-75-61-62-75-39-44-68-55-47-54-32-30-use-the-xlminer-analysis-toolpak-to-find-descriptive-statistics-for-sample-1-and-s-85707

Sample 1 Sample 2 38 37 48 39 26 31 71 73 35 47 73 60 48 60 63 72 56 52 75 61 62 75 39 44 68 55 47 54 32 30 Use the XLMiner Analysis ToolPak to find descriptive statistics for Sample 1 and Sample 2. Select "Descriptive Statistics" in the ToolPak, place your cursor in the "Input Range" box, and then select the cell range A1 to B16 in the sheet. Next, place your cursor in the Output Range box and then click cell D1 (or just type D1). Finally, make sure "Grouped By Columns" is selected and all other checkboxes are selected. Click OK. Your descriptive statistics should now fill the shaded region of D1:G18. Use your output to fill in the blanks below. Sample 1 Mean: (2 decimals) ______________ Sample 1 Standard Deviation: (2 decimals) ______________ Sample 2 Mean: (2 decimals) _________ Sample 2 Standard Deviation: (2 decimals) ______________ Use a combination of native Excel functions, constructed formulas, and the XLMiner ToolPak to find covariance and correlation. In cell J3, find the covariance between Sample 1 and Sample 2 using the COVARIANCE.S function. (2 decimals) ________________ In cell J5, find the correlation between Sample 1 and Sample 2 using the CORREL function. (2 decimals) ______________ In cell J7, find the correlation between Sample 1 and Sample 2 algebraically, cov/(sx*sy), by constructing a formula using other cells that are necessary for the calculation. (2 decimals) __________________ Use the XLMiner Analysis ToolPak to find the correlation between Sample 1 and Sample 2. Place your output in cell I10. (2 decimals) ______________ Calculate z-scores using a mix of relative and absolute cell references. In cell A22, insert the formula =ROUND((A2-$E$3)/$E$7,2). Next, grab the lower-right corner of A22 and drag down to fill in the remaining green cells of A23 to A36. Note how the formula changes by looking in Column D. Changing a cell from a relative reference such as E3 to an absolute reference such as $E$3 means that cell remains "fixed" as you drag. Therefore, the formula you entered into A22 takes each data observation such as A2, A3, A4..., subtracts $E$3, and then divides by $E$7. Since the last two cells have absolute references, they will not change as you drag. The ROUND function simply rounds the z-score to two digits. Now find the z-scores for Sample 2 using the same method you learned above by editing the formula to refer to the correct cells for Sample 2. Make sure each z-score is rounded to 2 places. Sample 2 z-scores

Supreeta N.


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Transcript

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00:01 So the answer of part a is p equal to 0 .65m plus 0 .45y, 4m plus 2 .5y, is less than equal to 4 lakh, 2 .5m plus 1 .5y, less than equal to 4 lakh, 2 .5m plus 1 .5y, less than equal to 3 lakh ,000.
01:25 M less than equal to 90 ,000.
01:38 So correct answers are so this is the answer of a part answer of b part 4m plus 2 .5y equal to 4 lakhs so m equal to 0 y equal to 16 ,000 1 lack 60 ,000 and if m is 1 lakh then it is 0 .2 .5m plus 1 .5 y equal to 3 lakh m equal to 0 and y equal to 2 lakh m equal to 1 lakh 20 ,000 so why it's 0 m is as then equal to 90 ,000 if we draw the graph, 1 lakh, 0, 1 lakh 20 ,000, 0, 0 .1 1 lakh 60, 0, 2 ,000...
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