## Mathematics Homework Help

Statistics Question

The Youth Risk Behavior Survey (YRBSS) is a national survey monitoring health behavior among youth and young adults. It is administered by the Centers for Disease Control and Prevention (CDC). For this use, the “Youth Risk Behavior Surveillance System Dataset” is provided to practice calculating and interpreting the t-test. Refer to the instructional videos in the topic resources and the Using and Interpreting Statistics: A Practical Text for the Behavioral, Social, and Health Sciences textbook as a guide.

Youth Risk Surveillance System (helpful resources): https://www.cdc.gov/healthyYouth/data/yrbs/index.htm

YRBSS Data and Documentation (helpful resources): https://www.cdc.gov/healthyyouth/data/yrbs/data.htm

2015 YRBS Data User’s Guide (helpful resources): https://www.cdc.gov/healthyyouth/data/yrbs/pdf/2015/2015_yrbs-data-users_guide_smy_combined.pdf

2015 State and Local Youth Risk Behavior Survey (helpful resources): https://www.cdc.gov/healthyyouth/data/yrbs/questionnaires.htm

Part 1

Refer to the topic resources to review the documentation, questionnaires, and general information pertaining to the YRBSS and YRBS. Then use the 2015 “Youth Risk Behavior Surveillance System Dataset” and conduct a two-sample t-test to determine if weight (in kg) differs by sex. Submit the SPSS output for the t-test.

Part 2

Create an 8-10 slide PowerPoint presentation to discuss the findings for the t-test. For the presentation of your PowerPoint, create lecture notes to further explain the slides displayed of the results and findings. Include an additional slide for references at the end.

Include the following:

1. Identify which of three t-tests was selected and explain why this is the best statistical test and whether the assumptions were met.
2. What are the null and alternative hypotheses?
3. What is the decision rule?
4. What is the test statistic and p-value?
5. Interpretation of the t-test results (What was done? What was found? What does it mean? What suggestions are there for the creation of a health promotion intervention?)

side note (please read before accepting this question as a warning of how to get data file out into SPSS Software) —-> When you begin to upload “Youth Risk Behavior Surveillance System Dataset.xlsx” you can convert this file on your end of the computer into a “(.sav)” file into SPSS software of Citrix workspace. Studypool does not accept me dragging and dropping files of (.spv), so therefore I changed it on my end to an “XSLS” in order to provide the variables to apply for my t-Tests. When you open your blank SPSS software then you can click File, click Import Data, under Database will be the first option of Excel to open up your saved file of “Youth Risk Behavior Surveillance System Dataset.xlsx” to covert. You may need to make a separate folder under your username of the computer on either Mac or Windows to find the file easier when the “Open Data” box appears. Click on “Users”, click on “name of computer”, click on the folder you will make for this as “SPSS”, THEN it will be readily available to access. This is very helpful since I can send in (.sav) files.. I hope this helps!!

General Requirements

Submit the SPSS exported output and the PowerPoint.

APA style is not required, but solid academic writing is expected.

This uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

## Mathematics Homework Help

Baylor University Week 6 Simple Linear Regression Report

Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. Select and use one independent variable throughout this analysis. Use Excel to perform the regression and correlation analysis to answer the following. The week 6 spreadsheet can be helpful in this work.

• Generate a scatterplot for the specified dependent variable (Y) and the selected independent variable (X), including the graph of the “best fit” line. Interpret.
• Determine the equation of the “best fit” line, which describes the relationship between the dependent variable and the selected independent variable.
• Determine the correlation coefficient. Interpret.
• Determine the coefficient of determination. Interpret.
• Test the utility of this regression model by completing a hypothesis test of b=0 using ?=0.10. Interpret results, including the p-value.
• Based on the findings in steps 1-5, analyze the ability of the independent variable to predict the dependent variable.
• Compute the confidence interval for b, using a 95% confidence level. Interpret this interval.
• Compute the 99% confidence interval for the dependent variable, for a selected value of the independent variable. Each student can choose a value to use for the independent variable (use same value in the next step). Interpret this interval.
• Using the same chosen value for part (8), estimate the 99% prediction interval for the dependent variable. Interpret this interval.
• What can be said about the value of the dependent variable for values of the independent variable that are outside the range of the sample values? Explain.
• Describe a business decision that could be made based on the results of this analysis. In other words, how might the business operations change based on these statistical results.

## Mathematics Homework Help

Cuyamaca College Calculus Exam Practice

It is an online practice test and it is going to be a 2 hours long and I think it is going to be 8-10 questions so I need to live chat with you so I can send the questions one by one and you can send me the solution back by picture. The practice test is going to be on this coming Thursday 5/20/2021. It is going to be from 10am to 12:10pm

## Mathematics Homework Help

TCNJ Regression Equation and Linear Regression Analysis

I’m working on a statistics multi-part question and need a sample draft to help me learn.

You want to develop aregression model to predict the number of wins achieved byeach NBA team, based on the average point difference and the average field goal percentage difference between the team and itsopponent. Using the Data Analysis add-in, follow the steps listed below and answer the following questions.

6.1Perform multiple linear regression analysis. State the regression equation.

6.2Interpret the meaning of the slope coefficientsobtained.Explain whether the intercept coefficient hasapractical interpretation or not in the context of this study.

6.3Based on your model, predict wins for a teamwith average point difference of 6, and average field goal % difference of 3.5.

6.4Based  on  the  residual  plots received in  your  model,  comment  on  the plausible satisfaction  of  the normal residual (noise) model assumptions.

6.5 Do you have to use the Durbin-Watson statistic?

6.6  Repeat  steps  6.1  to  6.4  to  develop  a multiple  linearregression model  that  also  considers  possible interaction between average point difference, and average field goal % difference. Draw your conclusion.

6.7 Based on the results received so far, select and develop a simple linear regression model, repeating steps6.1 to 6.4 for this model. Draw your final conclusion.Submit both your answers summarized in a Word doc file, and your complete Excel solution file. In the Excel file, use the Data Analysis add-in, and store the results in separate (appropriately named)tabs.

## Mathematics Homework Help

CSCI University of Central Florida Integer Representations and Algorithms Questions

I have a e.xam at 2pm EST till 4 PM EST discrete structures

please BID if you did not take a question similar to this one from another student

The e.xam will be between chapter 4 and chapter 5 which will cover the following topics:

– Chapter 4:

4.1: Divisibility and Modular Arithmetic.

4.2: Integer Representations and Algorithms.

4.3: Primes and Greatest Common Divisors

4.4: Solving Congruences

4.5: Applications Congruences

4.6: Cryptography

– Chapter 5:

5.1: Mathematical Induction.

5.2: Strong Induction and well-ordering

5.3: Recursive definitions and structural Induction

5.4: Recursive Algorithms

5.5: Program Correctness

Thank you

## Mathematics Homework Help

ITEC 8437 Walden University Running Nonparametric & Chi Square Test Report

The chi-square test is the most important and most used nonparametric test. According to the Green and Salkind text, a one-sample chi-square test “evaluates whether the proportions of individuals who fall into categories of a variable are equal to hypothesized values” (p. 257). Additionally, the Mann-Whitney U test “evaluates whether the medians on a test variable differ significantly between two groups” (p. 270). The Mann-Whitney U test is a nonparametric alternative to the independent-sample t test.

This week, you will use the IT Security Dataset to run the One-Sample Chi-Square Test and the Mann-Whitney U Test.

Use the Assignment Exemplar.

Your paper must include the following elements:

• An APA Results Section for each nonparametric test. (See examples of APA Results Sections in Lessons 40: One-Sample Chi-Square Test (p. 260) and Mann-Whitney U Test (p. 270) of the Green and Salkind text.
• The critical elements of your SPSS output, including:
• A properly formatted research question
• A properly formatted H10 (null) and H1a (alternate) hypothesis
• A descriptive statistics narrative and properly formatted descriptive statistics table (see page 261 and page 272 of the Green and Salkind text)
• A properly formatted frequency distribution graph for the one-sample chi-square (see page 262) and a boxplot for the Mann-Whitney U Test (see page 270)
• A properly formatted inferential APA Results Section (see page 260 and page 270 of the Green and Salkind text)
• An appendix including the SPSS output generated for descriptive and inferential statistics (for SPSS output, see page 261 for the one-sample chi-square and page 272 for the Mann Whitney U test)

## Mathematics Homework Help

PSY 320 CSUN Statistical Techniques Correlation and Regression Questionnaire

I need help solving 3 hand calculation questions that will be either Correlation, Regression, Chi Square, or Factorial Anova . Please look over the study guide and make sure you are familiar with completing these problems. The first part of this assignment is already completed and the answer sheet is attached so you only need to be worried about part 2 which is purely hand calculations. Please go over part 1 before starting to make sure they are correct so all you need to do is input the answers. You will have 150 minutes to complete. I will need to be sent screenshots of the QUESTIONS AND HANDWRITTEN WORK. Tables, Formula sheet, and other documents have been provided. You will have 2 days to prepare and I will need this done before 9 pm pacific time on Friday, May 21 2021.

## Mathematics Homework Help

University of Florida Chapter 3 Population vs Food Supply Graph Discussion Post

There are two team questions in the “exploration” section at the end of Chapter 3 in “Finite Mathematics”. Each question has multiple parts so you should find a way to contribute supporting evidence, graphs, arguments, etc. for either of the questions and either sides of the possible issue. As your response for the week the class should be using the evidence that was posted to try to wrap up a summary of the issue.

Two questions from teams discussion:

1. Find a graph that illustrates population and another that illustrates food production or availability. Make sure the two graphs are for the same population (whatever population you choose). Where do these two graphs intersect? Does that “solution” imply that the population should or should not have sufficient food?

2. Find graphs or equations that illustrate two of either women’s wages, overall wages, and/or men’s wages over time in the same type of jobs. Analyze the data to see if genders appear to be paid the same amount for the same job. Is the experience considered in the data? Find a study comparing men’s and women’s pay and look at the information used to determine if other variables are held constant within the study so that the results are a true comparison of men and women in the same job with the same education and experience.

## Mathematics Homework Help

Chapter 2 Exploring Data with Tables and Graphs Essential Statistics Worksheet

1. Review the rubric to make sure you understand the criteria for earning your grade.
2. In your textbook, Essential Statistics, review:
1. Chapter 1, “Introduction to Statistics”
2. Chapter 2, “Exploring Data with Tables and Graphs”
3. Watch the following videos explaining the Excel skills you will need to complete the problems. Note that the version of Excel presented in the video may differ from the one you are using.
4. Complete the 10 problems in the file WS1Homework (Excel). Each problem is on a separate tab (worksheet).
5. Save your exercises as a single Excel file with one worksheet for each completed exercise. Name the file WS1Homework.xls and title your submission WS1 Homework.