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The present annual operating budget for a company is $4,876,351
1. The present annual operating budget for a company is $4,876,351. Next year an increase is expected of anywhere from 4% ...
The present annual operating budget for a company is $4,876,351
1. The present annual operating budget for a company is $4,876,351. Next year an increase is expected of anywhere from 4% to 7%.The company anticipates opening new stores, anywhere from 5 to 10 new stores. Each new store will add an additional $329,500 to the budget.Create a spreadsheet for next year's operating budget reflecting the percentage increase (in 0.5% increments) and the addition of the new stores.2. A sample of guests at 4 hotels was taken to see which factors were important in deciding whether or not to return to the hotel: Hotel Palm Leaf Beach Bums Sun n Sand Sea n SurfReason for not ReturningPrice 24 8 38 10Location 37 14 7 20Service 15 6 14 9Accomodation 14 9 7 11Give the expected frequenciesGive the calculated Chi SquareGive the critical Chi SquareIs the reason for not returning independent of hotel (yes or no) Must answer yes or no for independence.Which hotels are under represented in the data for price? (The guests find price to be less important than you would expect.)3. Use 1 way ANOVA for this problem. Work the formulas by writing them into Excel. You may use the Analysis Tool-Pak in Excel ONLY to check your results.ALL WORK MUST BE SHOWN TO RECEIVE CREDIT FOR THIS PROBLEM.Null Hypothesis: No significant difference in gas mileage (shown in miles per gallon) in the 4 gasolines:Exxon Sunoco Hess Shell30 29 29 3225 26 34 2627 29 32 3126 28 33 27Give your calculations for SSAGive your calculations for SSWGive your ANOVA tableGive the calculated FGive the critical FIs the difference significant in the gasolines? (yes or no)Use the Tukey multiple comparisons test to tell which pairs of means show a significant difference:Give the critical range, giving the value for Q, etc.Show the difference between each pair of means.Which pair show a significant difference? Answer the question in terms of the gasolines?Which gasoline would you use for best mileage?4. The data below represent customer satisfaction on a scale of 1 to 10 for different roasts of coffee (Columbian espresso, French mocha, Brazilian, Italian espresso) made in different types of coffee makers (electric, drip, French press).Coffee maker Co. Esp. Fr. Mocha Brazilian It. Esp Electric 7.6 6.4 5.5 8.5 6.8 7.4 6.5 5.7 7.1 7.6 6.8 9.2Drip 8.8 9.9 7.8 8.8 9.6 9.3 7.9 8.3 8.9 8.5 8.2 8.3French Press 9.8 8.9 9.7 8.3 9.7 9.1 9.5 8.7 9.9 8.8 8.6 8.9a) Using 2 way ANOVA give the calculated F for customer satisfaction for: (please answer in order in receive credit). Also be clear which part you are answering in a), b), c) to receive credit.i) The different roastsii) The different coffee makersiii) The Interaction effectb) Does it appear that liking the specific roast is affected by the type of coffee maker (interaction effect). Please answer yes or no.Why? Give a reason for your answer.c) Is the difference significant among the roasts of coffee? Please answer yes or no.Why? Give a reason for your answer.d) Is the difference significant among the types of coffee makers? Please answer yes or no.Why? Give a reason for your answer.e) Use the Tukey multiple comparisons test to show which pairs of roasts or coffee makers show a significant difference. State whether you are using Factor A or Factor B and why. Give the calculations for the Critical Range (give the value of Q, MSE, c, r, n') and show each pair of means that you are comparing. Make a statement about which pairs (in words) show a significant difference.) f) Sketch the cell means plot.g) Make one statement concerning what your graph shows (something like customers prefer electric coffee makers, etc.)
Herzing University Paired T Test Quantitative Decision Making Essay
For this unit’s assignment, you will be performing variable analysis using a t-test. You are required to select type of ...
Herzing University Paired T Test Quantitative Decision Making Essay
For this unit’s assignment, you will be performing variable analysis using a t-test. You are required to select type of t-test, (paired one-sample, two-sample). You will next find available data online, do not collect any data of your own. Some examples of available data online are prices for items, the price for apartments, or use the spreadsheet provided for analysis.
A paired t-test can be used when you are comparing paired items.
For example:
A test taken by the same participants, in two different conditions
Blood pressure taken from the same participants at two different times
Price comparison for two stores, of matching items.
A one-sample t-test can be used to example if the mean of a population is different from a hypothesized value. Comparing the mean of your sample to the known mean.
For example:
Comparing the mean blood pressure for males 55-65 years old who work out at least 5 hours per week to the population mean blood pressure for males 55-65
A two-sample t-test is used to compare two population means are equal or different. It is a comparison of two means.
For example:
The mean price for gas in NY and the mean price for gas in FL
The mean decreases in blood sugar for two different blood sugar medications.
Criteria for using a t-test
If the sample size is less than 15, a t-test is permissible if the sample is roughly symmetric, single peak, and has no outliers.
If the sample size is at least 15, a t-test can be used to omit outliers or strong skewness.
With a larger sample, the t-test can be used even if skewed distribution if the sample is greater than 30, but less than 10% of the population
MIS 445 Business Statistics Project
R is a free statistical software that is frequently and widely used. Go to R-Project for Statistical Computing (Link ...
MIS 445 Business Statistics Project
R is a free statistical software that is frequently and widely used. Go to R-Project for Statistical Computing (Links to an external site.)Links to an external site. to download the R software to your computer (follow the instructions provided in the attached R Installation Instructions sheet). The R Project website (Links to an external site.)Links to an external site. provides a brief introduction to R that you may also want to review.
n this CT assignment, we will use R software to analyze a dataset GoogleAmazonStock.xlsx.
It contains daily closing stock prices for Google and Amazon from 8/22/2017 to 8/22/2018. When we examine stock prices (or other financial assets) we often transform them into a (simple) return series. The return series are computed by the formula: (present price/past price) - 1. The dataset contains both stock prices and return series.
1. Using R, construct time series (line) plots for both stock prices and return series. R functions ts.plot or plot can create the plot. Describe the patterns and compare the plots.
2. Based on the return series, can we claim that the mean Amazon return series is higher than that of Google?
a. What would be an appropriate test of the claim above? Explain.
b. Write the null and alternative hypotheses.
c. Using R, perform the test.
d. Write the decision in the problem context.
Take the screenshots of the R graphs and output as well as the code. Paste them into a Word document along with your answers to the questions above. Clearly label the questions and answers. Submit the Word file in Canvas.
8 pages
Discussion Board 5: Frequency Distributions and Histograms
You will be using the same data values as you used in discussion board 4.
The purpose of this assignment is to familiariz ...
Discussion Board 5: Frequency Distributions and Histograms
You will be using the same data values as you used in discussion board 4.
The purpose of this assignment is to familiarize you with Excel or similar software to create graphs and tables.
Part 1: Create a frequency distribution table, histogram and descriptive data table
1. Using 5 to 10 class intervals, organize the data as a frequency distribution in a table. The intervals of the frequency distribution should be rounded to match the data. Call this Table 1 and give the table an appropriate and descriptive title (example: Frequency Distribution of Temperatures with 6 Intervals).
2. Use Excel (or similar software) to construct a frequency histogram to illustrate the data. Label the axes of the graph properly, including units. Call this Graph 1: Corresponding Histogram.
3. Find the mean, median, modal class, standard deviation, and variance for this frequency distribution. Round statistics to one more decimal place than the data (for example, if the data values are integers,
Need algebra help for solving a value mixture problem using a system of linear equations
A delivery truck is transporting boxes of two sizes: large and small. The large boxes weigh 50lbs each, and the smal ...
Need algebra help for solving a value mixture problem using a system of linear equations
A delivery truck is transporting boxes of two sizes: large and small. The large boxes weigh 50lbs each, and the small boxes weigh 35lbs each. There are 120 boxes in all. If the truck is carrying a total of 5025lbs in boxes, how many of each type of box is it carrying?
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The present annual operating budget for a company is $4,876,351
1. The present annual operating budget for a company is $4,876,351. Next year an increase is expected of anywhere from 4% ...
The present annual operating budget for a company is $4,876,351
1. The present annual operating budget for a company is $4,876,351. Next year an increase is expected of anywhere from 4% to 7%.The company anticipates opening new stores, anywhere from 5 to 10 new stores. Each new store will add an additional $329,500 to the budget.Create a spreadsheet for next year's operating budget reflecting the percentage increase (in 0.5% increments) and the addition of the new stores.2. A sample of guests at 4 hotels was taken to see which factors were important in deciding whether or not to return to the hotel: Hotel Palm Leaf Beach Bums Sun n Sand Sea n SurfReason for not ReturningPrice 24 8 38 10Location 37 14 7 20Service 15 6 14 9Accomodation 14 9 7 11Give the expected frequenciesGive the calculated Chi SquareGive the critical Chi SquareIs the reason for not returning independent of hotel (yes or no) Must answer yes or no for independence.Which hotels are under represented in the data for price? (The guests find price to be less important than you would expect.)3. Use 1 way ANOVA for this problem. Work the formulas by writing them into Excel. You may use the Analysis Tool-Pak in Excel ONLY to check your results.ALL WORK MUST BE SHOWN TO RECEIVE CREDIT FOR THIS PROBLEM.Null Hypothesis: No significant difference in gas mileage (shown in miles per gallon) in the 4 gasolines:Exxon Sunoco Hess Shell30 29 29 3225 26 34 2627 29 32 3126 28 33 27Give your calculations for SSAGive your calculations for SSWGive your ANOVA tableGive the calculated FGive the critical FIs the difference significant in the gasolines? (yes or no)Use the Tukey multiple comparisons test to tell which pairs of means show a significant difference:Give the critical range, giving the value for Q, etc.Show the difference between each pair of means.Which pair show a significant difference? Answer the question in terms of the gasolines?Which gasoline would you use for best mileage?4. The data below represent customer satisfaction on a scale of 1 to 10 for different roasts of coffee (Columbian espresso, French mocha, Brazilian, Italian espresso) made in different types of coffee makers (electric, drip, French press).Coffee maker Co. Esp. Fr. Mocha Brazilian It. Esp Electric 7.6 6.4 5.5 8.5 6.8 7.4 6.5 5.7 7.1 7.6 6.8 9.2Drip 8.8 9.9 7.8 8.8 9.6 9.3 7.9 8.3 8.9 8.5 8.2 8.3French Press 9.8 8.9 9.7 8.3 9.7 9.1 9.5 8.7 9.9 8.8 8.6 8.9a) Using 2 way ANOVA give the calculated F for customer satisfaction for: (please answer in order in receive credit). Also be clear which part you are answering in a), b), c) to receive credit.i) The different roastsii) The different coffee makersiii) The Interaction effectb) Does it appear that liking the specific roast is affected by the type of coffee maker (interaction effect). Please answer yes or no.Why? Give a reason for your answer.c) Is the difference significant among the roasts of coffee? Please answer yes or no.Why? Give a reason for your answer.d) Is the difference significant among the types of coffee makers? Please answer yes or no.Why? Give a reason for your answer.e) Use the Tukey multiple comparisons test to show which pairs of roasts or coffee makers show a significant difference. State whether you are using Factor A or Factor B and why. Give the calculations for the Critical Range (give the value of Q, MSE, c, r, n') and show each pair of means that you are comparing. Make a statement about which pairs (in words) show a significant difference.) f) Sketch the cell means plot.g) Make one statement concerning what your graph shows (something like customers prefer electric coffee makers, etc.)
Herzing University Paired T Test Quantitative Decision Making Essay
For this unit’s assignment, you will be performing variable analysis using a t-test. You are required to select type of ...
Herzing University Paired T Test Quantitative Decision Making Essay
For this unit’s assignment, you will be performing variable analysis using a t-test. You are required to select type of t-test, (paired one-sample, two-sample). You will next find available data online, do not collect any data of your own. Some examples of available data online are prices for items, the price for apartments, or use the spreadsheet provided for analysis.
A paired t-test can be used when you are comparing paired items.
For example:
A test taken by the same participants, in two different conditions
Blood pressure taken from the same participants at two different times
Price comparison for two stores, of matching items.
A one-sample t-test can be used to example if the mean of a population is different from a hypothesized value. Comparing the mean of your sample to the known mean.
For example:
Comparing the mean blood pressure for males 55-65 years old who work out at least 5 hours per week to the population mean blood pressure for males 55-65
A two-sample t-test is used to compare two population means are equal or different. It is a comparison of two means.
For example:
The mean price for gas in NY and the mean price for gas in FL
The mean decreases in blood sugar for two different blood sugar medications.
Criteria for using a t-test
If the sample size is less than 15, a t-test is permissible if the sample is roughly symmetric, single peak, and has no outliers.
If the sample size is at least 15, a t-test can be used to omit outliers or strong skewness.
With a larger sample, the t-test can be used even if skewed distribution if the sample is greater than 30, but less than 10% of the population
MIS 445 Business Statistics Project
R is a free statistical software that is frequently and widely used. Go to R-Project for Statistical Computing (Link ...
MIS 445 Business Statistics Project
R is a free statistical software that is frequently and widely used. Go to R-Project for Statistical Computing (Links to an external site.)Links to an external site. to download the R software to your computer (follow the instructions provided in the attached R Installation Instructions sheet). The R Project website (Links to an external site.)Links to an external site. provides a brief introduction to R that you may also want to review.
n this CT assignment, we will use R software to analyze a dataset GoogleAmazonStock.xlsx.
It contains daily closing stock prices for Google and Amazon from 8/22/2017 to 8/22/2018. When we examine stock prices (or other financial assets) we often transform them into a (simple) return series. The return series are computed by the formula: (present price/past price) - 1. The dataset contains both stock prices and return series.
1. Using R, construct time series (line) plots for both stock prices and return series. R functions ts.plot or plot can create the plot. Describe the patterns and compare the plots.
2. Based on the return series, can we claim that the mean Amazon return series is higher than that of Google?
a. What would be an appropriate test of the claim above? Explain.
b. Write the null and alternative hypotheses.
c. Using R, perform the test.
d. Write the decision in the problem context.
Take the screenshots of the R graphs and output as well as the code. Paste them into a Word document along with your answers to the questions above. Clearly label the questions and answers. Submit the Word file in Canvas.
8 pages
Discussion Board 5: Frequency Distributions and Histograms
You will be using the same data values as you used in discussion board 4.
The purpose of this assignment is to familiariz ...
Discussion Board 5: Frequency Distributions and Histograms
You will be using the same data values as you used in discussion board 4.
The purpose of this assignment is to familiarize you with Excel or similar software to create graphs and tables.
Part 1: Create a frequency distribution table, histogram and descriptive data table
1. Using 5 to 10 class intervals, organize the data as a frequency distribution in a table. The intervals of the frequency distribution should be rounded to match the data. Call this Table 1 and give the table an appropriate and descriptive title (example: Frequency Distribution of Temperatures with 6 Intervals).
2. Use Excel (or similar software) to construct a frequency histogram to illustrate the data. Label the axes of the graph properly, including units. Call this Graph 1: Corresponding Histogram.
3. Find the mean, median, modal class, standard deviation, and variance for this frequency distribution. Round statistics to one more decimal place than the data (for example, if the data values are integers,
Need algebra help for solving a value mixture problem using a system of linear equations
A delivery truck is transporting boxes of two sizes: large and small. The large boxes weigh 50lbs each, and the smal ...
Need algebra help for solving a value mixture problem using a system of linear equations
A delivery truck is transporting boxes of two sizes: large and small. The large boxes weigh 50lbs each, and the small boxes weigh 35lbs each. There are 120 boxes in all. If the truck is carrying a total of 5025lbs in boxes, how many of each type of box is it carrying?
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