Category: Math

Region: Start by picking one region from the following list of regions: West South Central, West North Central, East South Central, East North Central, Mid Atlantic Purpose: What is the purpose of your analysis? Sample: Define your sample. Take a random sample of 500 house sales for your region. Describe what is included in your sample (i.e., states, region, years or months). Questions and type of test: For your selected sample, define two hypothesis questions (see the Scenario above) and the appropriate type of test for each. Address the following for each hypothesis: Describe the population parameter for the variable you are analyzing. Describe your hypothesis in your own words. Identify the hypothesis test you will use (1-Tail or 2-Tail). Level of confidence: Discuss how you will use estimation and confidence intervals to help you solve the problem. Hypothesis: Define your hypothesis. Define the population parameter. Write null (Ho) and alternative (Ha) hypotheses. Note: For means, define a hypothesis that is less than the population parameter. Specify your significance level. Data analysis: Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test. Provide at least one histogram of your sample data. In a table, provide summary statistics including sample size, mean, median, and standard deviation. Note: For quartiles 1 and 3, use the quartile function in Excel: =QUARTILE([data range], [quartile number]) Summarize your sample data, describing the center, spread, and shape in comparison to the national information (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). Note: For shape, think about the distribution: skewed or symmetric. 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. Note: Think about the central limit theorem and sampling methods. Hypothesis test calculations: Complete hypothesis test calculations. Calculate the hypothesis statistics. Determine the appropriate test statistic (t). Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean. Calculate the probability (p value). Note: This calculation is done with the T.DIST function in Excel: =T.DIST([test statistic], [degree of freedom], True) The degree of freedom is calculated by subtracting 1 from your sample size. 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-Tail Test Hypotheses: Define your hypothesis. Define the population parameter. Write null and alternative hypotheses. Note: For means, define a hypothesis that is not equal to the population parameter. State your significance level. Data analysis: Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test. Provide at least one histogram of your sample data. In a table, provide summary statistics including sample size, mean, median, and standard deviation. Note: For quartiles 1 and 3, use the quartile function in Excel: =QUARTILE([data range], [quartile number]) Summarize your sample data, describing the center, spread, and shape in comparison to the national information. Note: For shape, think about the distribution: skewed or symmetric. 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. Note: Think about the central limit theorem and sampling methods. Hypothesis test calculations: Complete hypothesis test calculations. Calculate the hypothesis statistics. Determine the appropriate test statistic (t). Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.] Determine the probability (p value). Note: This calculation is done with the TDIST.2T function in Excel: =T.DIST.2T([test statistic], [degree of freedom]) The degree of freedom is calculated by subtracting 1 from your sample size. Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis. Compare 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: Revisit Question 3 from the Scenario section: For your region, what is the range of values for the 95% confidence interval of square footage for homes? Calculate and report the 95% confidence interval. Show or describe your method of calculation. Final Conclusions Summarize your findings: In one paragraph, summarize your findings in clear and concise plain language. Discuss: Discuss whether you were surprised by the findings. Why or why not?

In case of plagiarism, AI use and late delivery, the assignment will be CANCEL. Also the assignment will check in Turnitin.Before placing your bid, please read the instructions carefully. If I accept your offer and then decide to raise the price, I will not negotiate the price again. Instructions: Access the following document bellow: Name assignment math provide a full mathematical solution to each question that adheres to the formatting of the content material Explain your answers using full sentences, and show all work. You are not permitted to use ^ for exponents, the exponent needs to be floating in the air. Also, all mathematical solutions must appear as it would in a math textbook, working down the page, each line starting with an equal sign. You should not have unnecessary brackets or words for formatting. Also include all the steps that you need to include to fully show the work.

In case of plagiarism, AI use and late delivery, the assignment will be CANCEL. Also the assignment will check in Turnitin.Before placing your bid, please read the instructions carefully. If I accept your offer and then decide to raise the price, I will not negotiate the price again. Instructions: Access the following document bellow: Name assignment math provide a full mathematical solution to each question that adheres to the formatting of the content material Explain your answers using full sentences, and show all work. You are not permitted to use ^ for exponents, the exponent needs to be floating in the air. Also, all mathematical solutions must appear as it would in a math textbook, working down the page, each line starting with an equal sign. You should not have unnecessary brackets or words for formatting.

In case of plagiarism, AI use and late delivery, the assignment will be CANCEL. Also the assignment will check in Turnitin.Before placing your bid, please read the instructions carefully. If I accept your offer and then decide to raise the price, I will not negotiate the price again. Instructions: Access the following document bellow: Name assignment math provide a full mathematical solution to each question that adheres to the formatting of the content material Explain your answers using full sentences, and show all work. You are not permitted to use ^ for exponents, the exponent needs to be floating in the air. Also, all mathematical solutions must appear as it would in a math textbook, working down the page, each line starting with an equal sign. You should not have unnecessary brackets or words for formatting.

In case of plagiarism, AI use and late delivery, the assignment will be CANCEL. Also the assignment will check in Turnitin.Before placing your bid, please read the instructions carefully. If I accept your offer and then decide to raise the price, I will not negotiate the price again. Instructions: Access the following document bellow: Name assignment math provide a full mathematical solution to each question that adheres to the formatting of the content material Explain your answers using full sentences, and show all work. You are not permitted to use ^ for exponents, the exponent needs to be floating in the air. Also, all mathematical solutions must appear as it would in a math textbook, working down the page, each line starting with an equal sign. You should not have unnecessary brackets or words for formatting.

Must have stat crunch data. Here are the directions for this assignment: Directions for StatCrunch 3.pdf Print out, complete, and submit your responses on the answer sheet below. Be sure to include the StatCrunch output! Statcrunch 3 AS.docx

Complete SPSS assignment by directly following instructions. Follow format as well to ensure no point deductions.

Exploratory factor analysis is a statistical technique that is used to reduce data to a smaller set of summary variables and to explore the underlying theoretical structure of the phenomena. In this assignment, you are expected to perform an exploratory factor analysis on the newly developed items that measure each of realistic optimism, unrealistic optimism, and pessimism; describe the steps taken to select the final items; and evaluate the psychometric properties (i.e. reliability, validity) of your final scale. Perform an exploratory factor analysis on the items assessing the factors underlying realistic optimism, unrealistic optimism, and pessimism. In the format of a research report, describe the steps taken to select the final items and evaluate the psychometric properties (i.e. reliability and validity) of your final scale. LAYOUT OF LAB REPORT: Title page: APA style. Aims and Hypotheses: State your aims and list your 7 hypotheses from Assignment 1C. Note, you may have needed to revise/change your hypotheses based on Assignment 1C OLA feedback. Method: Describe the sample and measures used in your validation strategy. Do not include scales that you did not use. You can include the following statement under the Procedure sub-section of the Method: ‘An online survey was completed by undergraduate students at an Australian university at a time and place of their choosing. The study was approved and conducted in accordance with Swinburne University’s ethical guidelines.’ Results: Present the results from the factor analysis (or analyses if you performed more than one), including a justification for the extraction and rotation method used, factor analysis statistics, and a description of the scale and inter-factor correlations. If items were removed, also describe the process through which the decision was made to exclude these items. Include a reliability analysis of the (revised) measure, including Cronbach’s alpha and related item statistics (e.g. alpha if item deleted) for each of the subscales. Include the descriptive statistics for all measures used. Include correlations, t-tests, etc. as appropriate that address your validation hypotheses. The Assignment 2 Table Guide TP2 2024.pdf Download Assignment 2 Table Guide TP2 2024.pdfwill give you an idea of how these results can be presented. Discussion: This section aligns with what is expected in a discussion from any other lab/research report. It should present an evaluation of your (revised) measure, including the following: Statements about the factor structure, and the extent to which the items align with what realistic optimism, unrealistic optimism, and pessimism are theoretically considered to comprise. Any issues may have implications for the definition and measurement of the construct being investigated. A discussion of the reliability of the final scales. A discussion of the evidence for the validity of the scales. Limitations and implications, including any potential future revisions to the new realistic optimism, unrealistic optimism, and pessimism scales and if needed, recommendations for how they should be validated in the future. A discussion of any revisions to the scale and recommendations for how it should be validated in the future. References: In-text referencing, presentation of the results, and the reference list should be in APA 7th format.

note from proffessor: After reviewing the directions for Project 1, I realized they could be more explicit about the need to analyze data in both split and unsplit forms. I am sure the intention of the person who created the project was for students to analyze the data in both split and unsplit form. This dual assessment approach is crucial as it helps you understand how distribution characteristics might change when the data is considered as a whole versus when it’s segmented by development status. Such insights are vital for selecting the appropriate statistical tests in later analyses, particularly when evaluating the assumptions for tests like the t-test. I have updated the assignment instructions to clarify this requirement. To split your data in SPSS, follow these steps: 1. Go to Analyze -> Descriptive Statistics -> Explore. 2. In the Explore dialogue box, move the “develop” variable into the Factor List. This action will split your data by the categories within that variable.

Directions: Please read and complete the following on a separate sheet of paper. Clearly explain your answers using your own words. Include any equations, graphs, diagrams and/or tables to support your conclusions. Identify any formulas used and show all work including all your calculations. Your conclusions should be logical and strongly supported. When answering the (8) questions, your response should be at least 250 words in essay form.