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William Paterson University Statistical Error Worksheet
Sanil is an HR manager who is trying to ensure employee engagement is consistent throughout the company. He has talked to ...
William Paterson University Statistical Error Worksheet
Sanil is an HR manager who is trying to ensure employee engagement is consistent throughout the company. He has talked to employees across departments and has noticed that those in the Sales group seem less satisfied with their managers. However, he wants to see if the data shows this as well.He wants to know if there really is a difference in the ManagerSatisfaction between the Sales group and the other departments.1. First, what is the mean ManagerSatisfaction for the Sales department?2. What is the mean ManagerSatisfaction for the other departments?3. What is the t-statistic for the difference of those means?4. Is the difference in Manager Satisfaction between employees in the Sales department and the other departments significant?a. Yes, the p-value <.001b. Yes, the p-value <.01c. Yes, the p-value <.05d. No5. Is the difference in Manager Satisfaction between employees in the Sales department and the other departments meaningful?a. Yesb. No
Estimating Models Using Dummy Variables
- Review Warner’s Chapter 12 and Chapter 2 of the Wagner
course text and the media program found in this week’s Learn ...
Estimating Models Using Dummy Variables
- Review Warner’s Chapter 12 and Chapter 2 of the Wagner
course text and the media program found in this week’s Learning Resources and
consider the use of dummy variables.-Create a research question using the General
Social Survey dataset that can be answered by multiple regression. -Using the SPSS software, choose a categorical
variable to dummy code as one of your predictor variables.Estimate a multiple regression model that answers your
research question. Post your response to the following:-What is your research question?-Interpret the coefficients for the model,
specifically commenting on the dummy variable.-Run diagnostics for the regression model. Does
the model meet all of the assumptions? Be sure and comment on what assumptions
were not met and the possible implications. Is there any possible remedy for
one the assumption violations?
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Report
Listen
ReadSpeaker webReader: Listen
ScenarioYou have been hired by the Regional ...
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Report
Listen
ReadSpeaker webReader: Listen
ScenarioYou have been hired by the Regional Real Estate Company to help them
analyze real estate data. One of the company’s Pacific region
salespeople just returned to the office with a newly designed
advertisement. It states that the average cost per square foot of his
home sales is above the average cost per square foot in the Pacific
region. He wants you to make sure he can make that statement before
approving the use of the advertisement. The average cost per square foot
of his home sales is $275. In order to test his claim, you collect a
sample of 1,001 home sales for the Pacific region.PromptDesign a hypothesis test and interpret the results using significance level α = .05.Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Excel and Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
Define your population parameter.Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.Specify the name of the test you will use.
Identify whether it is a left-tailed, right-tailed, or two-tailed test.
Identify your significance level.
Data Analysis Preparations: Describe sample summary
statistics, provide a histogram and summary, check assumptions, and
find the test statistic and significance level.
Provide the descriptive statistics (sample size, mean, median, and standard deviation).Provide a histogram of your sample.Describe your sample by writing a sentence describing the shape, center, and spread of your sample.Determine whether the conditions to perform your identified test have been met.
Calculations: Calculate the p value, describe the p
value and test statistic in regard to the normal curve graph, discuss
how the p value relates to the significance level, and compare the p
value to the significance level to reject or fail to reject the null
hypothesis.
Determine the appropriate test statistic, then calculate the test statistic.Note:
This calculation is (mean – target)/standard error. In this case, the
mean is your regional mean (Pacific), and the target is 275.Calculate the p value.Note: For
right-tailed, use the T.DIST.RT function in Excel, left-tailed is the
T.DIST function, and two-tailed is the T.DIST.2T function. The degree of
freedom is calculated by subtracting 1 from your sample size.Choose your test from the following:=T.DIST.RT([test statistic], [degree of freedom])=T.DIST([test statistic], [degree of freedom], 1)=T.DIST.2T([test statistic], [degree of freedom])Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.
Test Decision: Discuss the relationship between the
p value and the significance level, including a comparison between the
two, and decide to reject or fail to reject the null hypothesis.
Discuss how the p value relates to the significance level.Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.
Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant
Express your answer as a decimal, statistics homework help
7.A radar unit is used to measure speeds of cars on a motorway. The speeds are normally distributed with a mean of 90 km/h ...
Express your answer as a decimal, statistics homework help
7.A radar unit is used to measure speeds of cars on a motorway. The speeds are normally distributed with a mean of 90 km/hr and a standard deviation of 10 km/hr. What is the probability that a car picked at random is travelling at more than 100 km/hr? Round your answer to the nearest thousandth.8.A survey by the National Retail Federation found that women spend on average $146.21 for the Christmas holidays. Assume the standard deviation is $29.44. Find the percentage of women who spend less than $160.00. Assume the variable is normally distributed. Express the answer in the form of a percentage (do not include % sign in your answer). Round your answer to the nearest hundredth.9.Each month, an American household generates an average of 28 pounds of newspaper for garbage or recycling. Assume the standard deviation is 2 pounds. If a household is selected at random, find the probability of its generation between 27 and 31 pounds per month. Assume the variable is normally distributed. Express your answer as a percentage. (do not include % sign in your answer). Round your answer to the nearest hundredth10.The national average SAT score (for Verbal and Math) is 1028. If we assume a normal distribution with standard deviation 92, what is the probability that a randomly selected score exceeds 1200? Express your answer as a decimal. Round your answer to the nearest hundredth.11.To qualify for a police academy, candidates must score in the top 10% on a general abilities test. The test has a mean of 200 and a standard deviation of 20. Find the lowest possible score to qualify. Assume the test scores are normally distributed.12.The average price of a personal computer is $949. If the computer prices are normally distributed with a standard deviation of $100, the least expensive 10% of personal computers cost less than what amount? Round your answer to the nearest dollar.
6 pages
Answers. Precalculus. Parametric Equations
Both plots have a form of a quadratic function. For x(t) the model a+bx+cx2 was used. For y(t) the model a+bx+cx was used.
Answers. Precalculus. Parametric Equations
Both plots have a form of a quadratic function. For x(t) the model a+bx+cx2 was used. For y(t) the model a+bx+cx was used.
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Most Popular Content
William Paterson University Statistical Error Worksheet
Sanil is an HR manager who is trying to ensure employee engagement is consistent throughout the company. He has talked to ...
William Paterson University Statistical Error Worksheet
Sanil is an HR manager who is trying to ensure employee engagement is consistent throughout the company. He has talked to employees across departments and has noticed that those in the Sales group seem less satisfied with their managers. However, he wants to see if the data shows this as well.He wants to know if there really is a difference in the ManagerSatisfaction between the Sales group and the other departments.1. First, what is the mean ManagerSatisfaction for the Sales department?2. What is the mean ManagerSatisfaction for the other departments?3. What is the t-statistic for the difference of those means?4. Is the difference in Manager Satisfaction between employees in the Sales department and the other departments significant?a. Yes, the p-value <.001b. Yes, the p-value <.01c. Yes, the p-value <.05d. No5. Is the difference in Manager Satisfaction between employees in the Sales department and the other departments meaningful?a. Yesb. No
Estimating Models Using Dummy Variables
- Review Warner’s Chapter 12 and Chapter 2 of the Wagner
course text and the media program found in this week’s Learn ...
Estimating Models Using Dummy Variables
- Review Warner’s Chapter 12 and Chapter 2 of the Wagner
course text and the media program found in this week’s Learning Resources and
consider the use of dummy variables.-Create a research question using the General
Social Survey dataset that can be answered by multiple regression. -Using the SPSS software, choose a categorical
variable to dummy code as one of your predictor variables.Estimate a multiple regression model that answers your
research question. Post your response to the following:-What is your research question?-Interpret the coefficients for the model,
specifically commenting on the dummy variable.-Run diagnostics for the regression model. Does
the model meet all of the assumptions? Be sure and comment on what assumptions
were not met and the possible implications. Is there any possible remedy for
one the assumption violations?
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Report
Listen
ReadSpeaker webReader: Listen
ScenarioYou have been hired by the Regional ...
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Report
Listen
ReadSpeaker webReader: Listen
ScenarioYou have been hired by the Regional Real Estate Company to help them
analyze real estate data. One of the company’s Pacific region
salespeople just returned to the office with a newly designed
advertisement. It states that the average cost per square foot of his
home sales is above the average cost per square foot in the Pacific
region. He wants you to make sure he can make that statement before
approving the use of the advertisement. The average cost per square foot
of his home sales is $275. In order to test his claim, you collect a
sample of 1,001 home sales for the Pacific region.PromptDesign a hypothesis test and interpret the results using significance level α = .05.Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Excel and Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
Define your population parameter.Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.Specify the name of the test you will use.
Identify whether it is a left-tailed, right-tailed, or two-tailed test.
Identify your significance level.
Data Analysis Preparations: Describe sample summary
statistics, provide a histogram and summary, check assumptions, and
find the test statistic and significance level.
Provide the descriptive statistics (sample size, mean, median, and standard deviation).Provide a histogram of your sample.Describe your sample by writing a sentence describing the shape, center, and spread of your sample.Determine whether the conditions to perform your identified test have been met.
Calculations: Calculate the p value, describe the p
value and test statistic in regard to the normal curve graph, discuss
how the p value relates to the significance level, and compare the p
value to the significance level to reject or fail to reject the null
hypothesis.
Determine the appropriate test statistic, then calculate the test statistic.Note:
This calculation is (mean – target)/standard error. In this case, the
mean is your regional mean (Pacific), and the target is 275.Calculate the p value.Note: For
right-tailed, use the T.DIST.RT function in Excel, left-tailed is the
T.DIST function, and two-tailed is the T.DIST.2T function. The degree of
freedom is calculated by subtracting 1 from your sample size.Choose your test from the following:=T.DIST.RT([test statistic], [degree of freedom])=T.DIST([test statistic], [degree of freedom], 1)=T.DIST.2T([test statistic], [degree of freedom])Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.
Test Decision: Discuss the relationship between the
p value and the significance level, including a comparison between the
two, and decide to reject or fail to reject the null hypothesis.
Discuss how the p value relates to the significance level.Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.
Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant
Express your answer as a decimal, statistics homework help
7.A radar unit is used to measure speeds of cars on a motorway. The speeds are normally distributed with a mean of 90 km/h ...
Express your answer as a decimal, statistics homework help
7.A radar unit is used to measure speeds of cars on a motorway. The speeds are normally distributed with a mean of 90 km/hr and a standard deviation of 10 km/hr. What is the probability that a car picked at random is travelling at more than 100 km/hr? Round your answer to the nearest thousandth.8.A survey by the National Retail Federation found that women spend on average $146.21 for the Christmas holidays. Assume the standard deviation is $29.44. Find the percentage of women who spend less than $160.00. Assume the variable is normally distributed. Express the answer in the form of a percentage (do not include % sign in your answer). Round your answer to the nearest hundredth.9.Each month, an American household generates an average of 28 pounds of newspaper for garbage or recycling. Assume the standard deviation is 2 pounds. If a household is selected at random, find the probability of its generation between 27 and 31 pounds per month. Assume the variable is normally distributed. Express your answer as a percentage. (do not include % sign in your answer). Round your answer to the nearest hundredth10.The national average SAT score (for Verbal and Math) is 1028. If we assume a normal distribution with standard deviation 92, what is the probability that a randomly selected score exceeds 1200? Express your answer as a decimal. Round your answer to the nearest hundredth.11.To qualify for a police academy, candidates must score in the top 10% on a general abilities test. The test has a mean of 200 and a standard deviation of 20. Find the lowest possible score to qualify. Assume the test scores are normally distributed.12.The average price of a personal computer is $949. If the computer prices are normally distributed with a standard deviation of $100, the least expensive 10% of personal computers cost less than what amount? Round your answer to the nearest dollar.
6 pages
Answers. Precalculus. Parametric Equations
Both plots have a form of a quadratic function. For x(t) the model a+bx+cx2 was used. For y(t) the model a+bx+cx was used.
Answers. Precalculus. Parametric Equations
Both plots have a form of a quadratic function. For x(t) the model a+bx+cx2 was used. For y(t) the model a+bx+cx was used.
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