-cos2x/(sinx-cosx)^2
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I need assistance in what identities I am able to utilize in order to resolve or simplify the double angle identity. I have tried converting the cos2x in all its three forms in order to simplify, however, nothing seems to function.
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Columbia Southern Unit III Linear Nutrients College Algebra Questions
Please see the attached file for the assignment. All of the requirements and steps that must be taken are listed.
Columbia Southern Unit III Linear Nutrients College Algebra Questions
Please see the attached file for the assignment. All of the requirements and steps that must be taken are listed.
5 pages
Homework Help
A company has estimated the standard deviation of individual sales transactions to be $2000. Approximately 100 sales trans ...
Homework Help
A company has estimated the standard deviation of individual sales transactions to be $2000. Approximately 100 sales transactions take place each ...
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.05 level of significance.Ice Cream Flavor A B C D 12 18 28 22 2 - Is it true that parametric tests are generally more powerful than nonparametric tests? If so, give two reasons why you might choose to use a nonparametric test instead of a parametric test. 3 - Parametric vs Nonparametric Discuss the difference between parametric test and non-parametric test. When do we use a non-parametric test?
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CLC - Final PresentationThis is a Collaborative Learning Community (CLC) assignment.The purpose of this assignment is to present the team's statistical findings to scenario stakeholders.For this assignment, your group will utilize the preliminary data collected in the Topic 2 and 3 assignments and the hypothesis tests that each group member completed for the Topic 6 assignment. Considering the specific requirements of your scenario, create a 10-15 slide PowerPoint presentation that addresses the following. Include speaker notes for each slide. Include a reference slide at the end of the presentation.Summary of the business scenario.Definition of the variables and sources.Rationale for the type of hypothesis tests used.Null and alternative hypothesis.Summary of all group members' hypothesis tests with results that include test statistic, critical value(s), and p-value.Box plot visuals for each hypothesis test.Interpretation of the statistic results of the hypothesis tests.Summary of the hypothesis testing results and how these can be applied to inform business decisions for the specified business case scenario.When building slide content, the hypothesis testing data should be presented in a way that clearly addresses the following in the speaker notes/oral presentation:Describe the data tested.Explain which hypothesis test was done and why it was done.Present the box plot visual output of the hypothesis test.Provide an interpretation of the box plot output.Identify whether the results of the hypothesis test are significant and explain why.General RequirementsWhile APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center. This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. You are not required to submit this assignment to LopesWrite.
MAT 240 Southern New Hampshire University Regional vs National Housing Price Paper
CompetencyIn this project, you will demonstrate your mastery of the following competency:Apply statistical techniques to a ...
MAT 240 Southern New Hampshire University Regional vs National Housing Price Paper
CompetencyIn this project, you will demonstrate your mastery of the following competency:Apply statistical techniques to address research problemsPerform hypothesis testing to address an authentic problemOverviewIn this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods.ScenarioYou have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national market. The regional sales director has three questions that they want to see addressed in the report:Are housing prices in your regional market higher than the national market average?Is the square footage for homes in your region different than the average square footage for homes in the national market?For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market?You are given a real estate data set that has houses listed for every county in the United States. In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director. 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Address the following for each hypothesis:Describe the population parameter for the variable you are analyzing.Describe your hypothesis in your own words.Describe the inference test you will use.Identify the test statistic.Level of confidence: Discuss how you will use estimation and conference intervals to help you solve the problem.1-Tailed TestHypothesis: Define your hypothesis.Define the population parameter.Write null (Ho) and alternative (Ha) hypotheses.Specify your significance level.Data analysis: Analyze the data and confirm assumptions have not been violated to complete this hypothesis test.Summarize your sample data using appropriate graphical displays and summary statistics.Provide at least one histogram of your sample data.In a table, provide summary statistics including sample size, mean, median, and standard deviation.Summarize your sample data, describing the center, spread, and shape in comparison to the national information.Check the conditions.Determine if the normal condition has been met.Determine if there are any other conditions that you should check and whether they have been met.Hypothesis test calculations: Complete hypothesis test calculations, providing the appropriate statistics and graphs.Calculate the hypothesis statistics.Determine the appropriate test statistic (t).Calculate the probability (p value).Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Relate the p value and significance level.Make the correct decision (reject or fail to reject).Provide a conclusion in the context of your hypothesis.2-Tailed TestHypotheses: Define your hypothesis.Define the population parameter.Write null and alternative hypotheses.State your significance level.Data analysis: Analyze the data and confirm assumptions have not been violated to complete this hypothesis test.Summarize your sample data using appropriate graphical displays and summary statistics.Provide at least one histogram of your sample data.In a table, provide summary statistics including sample size, mean, median, and standard deviation.Summarize your sample data, describing the center, spread, and shape in comparison to the national information.Check the assumptions.Determine if the normal condition has been met.Determine if there are any other conditions that should be checked on and whether they have been met.Hypothesis test calculations: Complete hypothesis test calculations, providing the appropriate statistics and graphs.Calculate the hypothesis statistics.Determine the appropriate test statistic (t).Determine the probability (p value).Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Relate the p value and significance level.Make the correct decision (reject or fail to reject).Provide a conclusion in the context of your hypothesis.Comparison of the test results: See Question 3 from the Scenario section.Calculate a 95% confidence interval. Show or describe your method of calculation.Interpret a 95% confidence interval.Final ConclusionsSummarize your findings: Refer back to the Introduction section above and summarize your findings of the sample you selected.Discuss: Discuss whether you were surprised by the findings. Why or why not?
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