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how is the derivative of F(θ)=cot(θ)sin(θ)sec(θ)
equal to G'(θ)=0?
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MATH136 Glendale 2018 Trend of Fatalities in Alcohol Impaired Driving Crashes Paper
Project AssignmentOur class project will be submitted as a discussion, broken into three parts.Part 1: The Initial Write-u ...
MATH136 Glendale 2018 Trend of Fatalities in Alcohol Impaired Driving Crashes Paper
Project AssignmentOur class project will be submitted as a discussion, broken into three parts.Part 1: The Initial Write-upYou have 8 options to choose from. Please select one of the "Making an Informed Decision" project assignments from Chapter 5 - 12. (This sentence can be ignored, I left the information in a link) These appear in your textbook on page 312, 353, 391, 418, 470, 522, 577 and 615, respectively. Each one presents a scenario, provides instructions on gathering data, and includes a prompt for a write-up. Please submit your write-up on this discussion board, and please be sure to state which project prompt from the textbook you're responding to.
Walden Wk 5 Evaluating Significance of Findings in Scenario Discussions
Use some of the same sources from week 5 discussion questions and the sources listed in this instrutionsFor this Assignmen ...
Walden Wk 5 Evaluating Significance of Findings in Scenario Discussions
Use some of the same sources from week 5 discussion questions and the sources listed in this instrutionsFor this Assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment.For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Paper
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company� ...
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Paper
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. The average cost per square foot of home sales based on this advertisement is $280. The salesperson claims that the average cost per square foot in the Pacific region is less than $280. In other words, he claims that the newly designed advertisement would result in higher 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. In order to test his claim, you will generate a random sample size of 750 using data for the Pacific region and use this data to perform a hypothesis test. PromptGenerate a sample of size 750 using data for the Pacific region. Then, design a hypothesis test and interpret the results using significance level α = .05. You will work with this sample in the assignment. Briefly describe how you generated your random sample.Use the House Listing Price by Region document and the National Summary Statistics and Graphs House Listing Price by Region documents 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 TemplateHypothesis Test 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.
Calculate the sample mean and standard error.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 280.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.You can use the following tutorial that is specifically about this assignment:MAT-240 Module 5 Assignment
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MATH136 Glendale 2018 Trend of Fatalities in Alcohol Impaired Driving Crashes Paper
Project AssignmentOur class project will be submitted as a discussion, broken into three parts.Part 1: The Initial Write-u ...
MATH136 Glendale 2018 Trend of Fatalities in Alcohol Impaired Driving Crashes Paper
Project AssignmentOur class project will be submitted as a discussion, broken into three parts.Part 1: The Initial Write-upYou have 8 options to choose from. Please select one of the "Making an Informed Decision" project assignments from Chapter 5 - 12. (This sentence can be ignored, I left the information in a link) These appear in your textbook on page 312, 353, 391, 418, 470, 522, 577 and 615, respectively. Each one presents a scenario, provides instructions on gathering data, and includes a prompt for a write-up. Please submit your write-up on this discussion board, and please be sure to state which project prompt from the textbook you're responding to.
Walden Wk 5 Evaluating Significance of Findings in Scenario Discussions
Use some of the same sources from week 5 discussion questions and the sources listed in this instrutionsFor this Assignmen ...
Walden Wk 5 Evaluating Significance of Findings in Scenario Discussions
Use some of the same sources from week 5 discussion questions and the sources listed in this instrutionsFor this Assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment.For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Paper
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company� ...
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Paper
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. The average cost per square foot of home sales based on this advertisement is $280. The salesperson claims that the average cost per square foot in the Pacific region is less than $280. In other words, he claims that the newly designed advertisement would result in higher 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. In order to test his claim, you will generate a random sample size of 750 using data for the Pacific region and use this data to perform a hypothesis test. PromptGenerate a sample of size 750 using data for the Pacific region. Then, design a hypothesis test and interpret the results using significance level α = .05. You will work with this sample in the assignment. Briefly describe how you generated your random sample.Use the House Listing Price by Region document and the National Summary Statistics and Graphs House Listing Price by Region documents 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 TemplateHypothesis Test 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.
Calculate the sample mean and standard error.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 280.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.You can use the following tutorial that is specifically about this assignment:MAT-240 Module 5 Assignment
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