Category: Statistics

Research paper on client satisfaction utilizing SPSS
Provide sources utilized a

Research paper on client satisfaction utilizing SPSS
Provide sources utilized and links to include DOI

Step 1: Read
Review the Week 4 Lecture and Case Problem 3: TourisTopia Travel fr

Step 1: Read
Review the Week 4 Lecture and Case Problem 3: TourisTopia Travel from Chapter 13 in the MindTap ebook.
Step 2: Do
Run the ANOVA: Two-Factor with Replication statistics for the Data File TourisTopia (Chapter 13). Use the How to Add Excel’s Data Analysis ToolPakLinks to an external site. video, Week 4 Lecture, and BUS308 | Week 4 IntroductionLinks to an external site. video for assistance.
Step 3: Analyze
Discuss your findings based on the ANOVA: Two-Factor with Replication results you obtained in Step 2 in a one- to two-page managerial report written in Word.
In your managerial report,
Use the data from Triple T’s study to test the hypothesis that the time spent by visitors to the Triple T website is equal for the three background colors. Include both factors and their interaction in the ANOVA model and use α =.05.
Use the data from Triple T’s study to test the hypothesis that the time spent by visitors to the Triple T website is equal for the three fonts. Include both factors and their interaction in the ANOVA model and use α =.05.
Use the data from Triple T’s study to test the hypothesis that time spent by visitors to the Triple T website is equal for the nine combinations of background color and font. Include both factors and their interaction in the ANOVA model and use α =.05.
Discuss whether your data analysis results provide evidence that the time spent by visitors to the Triple T website differs by background color, font, or combination of background color and font. What is your recommendation?
Guidelines:
Your managerial report should be one to two pages in length, double-spaced, and written in 11- or 12-point Times New Roman, Arial, or similar font.
APA formatting is not required for this assignment.
Submit both your managerial report (Word document) and your ANOVA: Two-Factor with Replication statistics Excel spreadsheet to Waypoint. The activity is worth 5% of your course grade.

I have attached to instructions for this project and also a writing guide. Use t

I have attached to instructions for this project and also a writing guide. Use the attached dataset to answer the questions. You do not need to put references for the project.
I have also attached an example of a different project to give you an idea of how to answer some of the questions and how to write the project.
You will need to analysis toolpak in excel to help with the graphs. I have attached the instruction of how you can activate it.
Everything you need is attached. Do not exceed 3000 words.

Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text

Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests.
Using the SPSS software, open the Afrobarometer dataset found in this week’s Learning Resources.
Next, review the Chi Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment.
Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test.
Once you perform your categorical data analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Assignment:
Write a 1- to 2-paragraph analysis of your categorical data results for each research scenario. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
Use proper APA format, citations, and referencing for your analysis, research question, and display of output
Comments from Customer
Discipline: PSYCH

Competencies
In this project, you will demonstrate your mastery of the following

Competencies
In this project, you will demonstrate your mastery of the following competencies:
Apply statistical techniques to address research problems
Perform regression analysis to address an authentic problem
Overview
The purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.
Scenario
You have been hired by the D. M. Pan National Real Estate Company to develop a model to predict housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriiptive statistics and graphs provided.
Directions
Using the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate Data Spreadsheet spreadsheet (both found in the Supporting Materials section) for your statistical analysis.
Note: Present your data in a clearly labeled table and using clearly labeled graphs.
Specifically, include the following in your report:
Introduction
Describe the report: Give a brief descriiption of the purpose of your report.
Define the question your report is trying to answer.
Explain when using linear regression is most appropriate.
When using linear regression, what would you expect the scatterplot to look like?
Explain the difference between predictor (x) and response (y) variables in a linear regression to justify the selection of variables.
Data Collection
Sampling the data: Select a random sample of 50 houses. Describe how you obtained your sample data (provide Excel formulas as appropriate).
Identify your predictor and response variables.
Scatterplot: Create a scatterplot of your predictor and response variables to ensure they are appropriate for developing a linear model.
Data Analysis
Histogram: Create a histogram for each of the two variables.
Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.
Interpret the graphs and statistics:
Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for house sales and square footage.
Compare and contrast the center, shape, spread, and any unusual characteristic for your sample of house sales with the national population (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). Determine whether your sample is representative of national housing market sales.
Develop Your Regression Model
Scatterplot: Provide a scatterplot of the variables with a line of best fit and regression equation.
Based on your scatterplot, explain if a regression model is appropriate.
Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
Identify any possible outliers or influential points and discuss their effect on the correlation.
Discuss keeping or removing outlier data points and what impact your decision would have on your model.
Calculate r: Calculate the correlation coefficient (r).
Explain how the r value you calculated supports what you noticed in your scatterplot.
Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.
Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.
Interpret regression equation: Interpret the slope and intercept in context. For example, answer the questions: what does the slope represent in this situation? What does the intercept represent? Revisit the Scenario above.
Strength of the equation: Provide and interpret R-squared.
Determine the strength of the linear regression equation you developed.
Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the assumed square footage of your home at 1500 square feet.
Conclusions
Summarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.
Did you see the results you expected, or was anything different from your expectations or experiences?
What changes could support different results, or help to solve a different problem?
Provide at least one question that would be interesting for follow-up research.
You can use the following tutorial that is specifically about this assignment. Make sure to check the assignment prompt for specific numbers used for national statistics. The videos may use different national statistics. You should use the national statistics posted with this assignment.

The claim I found is that the average consumption of added sugars for American c

The claim I found is that the average consumption of added sugars for American children and adults is 17 teaspoons (270 calories) a day. The parameter of average sugar consumption is a population mean. My hypothesis testing will question if this claim is still true for a certain group of people in a more specific location in the U.S.
Source:

Added Sugar

Introduction
Note: The assessments in this course build upon each other, so you

Introduction
Note: The assessments in this course build upon each other, so you are strongly encouraged to complete them in sequence.
The study of statistics can be intimidating, but statistics are all around you and are closely related to the activities you will do as a professional. Whether you venture into research or clinical practice or another field that uses data, you need to be able to understand statistics so you can apply them to your profession. How will you do that? It can be through an individual patient’s assessment, an assessment of your overall practices, or simply analyzing trends in others’ behaviors. Perhaps you need to use statistics to determine the impact of a certain treatment, or maybe you piloted a new type of therapy and want to see how it impacted your patients with a diagnosis.
The great thing about statistics is that it uses numbers. Sometimes, when conducting research, there may be bias or inaccuracies. However, with numbers, you have a concrete way to examine your practice.
This assessment will get you started with measures of central tendency, graphic displays of data, and becoming familiar with your data sets. You’ll also begin to consider careers related to statistics and data analysis.
Preparation
Note: The assessments in this course build upon each other, so you are strongly encouraged to complete them in sequence.
Before you begin the assessment, complete the following:
Step 1: Ensure JASP is installed and set up on your computer.
Step 2: Choose the variables you will be working with from the chart below. You will choose one variable from List A and one variable from List B.
List A
Choose ONE variable from this list “A”
List B
Choose ONE variable from this list “B”
RACLIVE. Have other race living in neighborhood. This is a Yes/No question asking respondents if they live in a neighborhood with people of another race. HAPPY. General happiness. This question asks the respondents to rate how happy they are (small Likert scale).
NEWS. How often does respondent read newspaper. This question asks respondents to rate how often they read the newspaper (Likert scale). LIFE. If life is exciting or dull. This question asks respondents to rate their life as exciting, routine, or dull (similar to a Likert scale).
WWWHR. Internet hours per week. This question asks respondents to share how many hours in a week they use the internet for non-email activities. MNTLHLTH. Days of poor mental health past 30 days. This question asks respondents how many days of poor mental health they’ve had in the past 30 days.
DEPRESS. Told have depression. This is a Yes/No question asking respondents if they have been told they have depression.
Step 3: Download the data.
Note: The GSS Data 2018 [XLSX] has all of the data for all of the variables. The other files are JASP-compatible files with two variables each. These data files are labeled with the names of the two variables. To find the data file for your specific project, look for the file that names both of your variables.
News and Depress [CSV].
News and Happy [CSV].
News and Life [CSV].
News and Mntlhlth [CSV].
Raclive and Depress [CSV].
Raclive and Happy [CSV].
Raclive and Life [CSV].
Raclive and Mntlhlth [CSV].
Wwwhr and Depress [CSV].
Wwwhr and Happy [CSV].
Wwwhr and Life [CSV].
Wwwhr and Mntlhlth [CSV].
Step 4: Download the Getting Started With Your Data [DOCX] worksheet.
Step 5: Find one job opening for a job you could apply for with a bachelor’s degree that requires the use of statistics—some good, key search terms: psychology research assistance or survey data analysis.
Tip for success
Create a file folder on your computer and save each file into that folder. It will save you time throughout the course to have them already downloaded.
Instructions
Complete and submit the Getting Started With Your Data [DOCX] worksheet.
Tips for Success
Keep JASP, your textbook, and Statistical Analysis in JASP: A Guide for Students open when working on your worksheet.
Read, don’t skim, each part of the worksheet. The text will often help you find the answer.
Do each step one at a time. Running statistical tests requires paying attention to details. One wrong setting in JASP can result in getting poor or wrong results. It’s not difficult if you go step by step. It just needs a bit of patience and to go a little slower than normal.
Do the entire worksheet (it’s long).
When you are done, scroll to the very end of the document. Then scroll up slowly to double-check that you have an answer in each box. Going in reverse (from the end to the beginning) is often the best way to spot something you overlooked earlier.
Competencies Measured
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and scoring guide criteria:
Competency 2: Apply statistical analyses to problems in the social sciences.
Describe key statistical concepts.
Determine data type.
Explain the use of a mean with different types of variables.
Competency 4: Plan career contingencies based on accurate self-assessment of abilities, achievement, motivation, and work habits as they relate to statistics.
Discover career contingencies based on accurate self-assessment of abilities, achievement, motivation, and work habits.
Competency 6: Communicate quantitative data in statistics, graphs, tables, and in common language.
Communicate statistical data in graphs and tables.

ONLY ANSWER THE QUESTIONS ON THE PAPER I ATTACHED. THERE IS 2 PARTS TO THIS AS

ONLY ANSWER THE QUESTIONS ON THE PAPER I ATTACHED. THERE IS 2 PARTS TO THIS ASSIGNMENT. BUT THE FIRST PART YOU ONLY ANSWER THE QUESTIONS ON THE PAPER. ONCE THAT IS COMPLETED AND GRADED BY PROFESSOR, I WILL RE SUBMIT IT BACK TO YOU TO DO TH SECOND PART. DIRECTIONS IS ATTACHED

A music venue is looking for ways to improve ticket sales. After three different

A music venue is looking for ways to improve ticket sales. After three different concert types (rock, pop, country), the venue surveyed 16 random audience members (8 teens, 8 adults) on how much they enjoyed the show. You are tasked with identifying which age group showed a greater satisfaction [assume equal intervals and variance between groups].
Please go through and detail the steps in computing a t-test:
1. Write your null and research hypothesis.
2. Describe the level of significance.
3. Describe your rationale for the type of t-test used.
4. Compute the t value, copy and paste the SPSS chart into the document.
5. Consult your critical value table for t value. Note the critical values based on the accurate degrees of freedom.
6. Note two of three ways (critical value, p value significance, and confidence interval) to assess your decision on statistical significance.
7. State your decision about significance and which hypothesis you are accepting/rejecting.
Extra Credit: Now that you know which age group is enjoying the concerts more, they want you to identify which genre(s) they prefer. This will determine what types of bands they’ll book in the future. Conduct a simple ANOVA to see if they prefer any genre over another. Provide your output charts and an explanation of your F-ratio and post-hoc (use Tukey’s since the sample sizes are equal), then your final recommendation.

[Discuss each research question and (when appropriate) hypothesis individually a

[Discuss each research question and (when appropriate) hypothesis individually and draw logical conclusions. Note: support all conclusions with the research findings and avoid drawing conclusions that are beyond the scope of the study results.
Discuss how any potential limitations may have affected the interpretation of the results.
Place the results back into context by describing how the results respond to the study problem, fit with the purpose, demonstrate significance, and contribute to the existing literature described in Chapter 2.
Describe the implications of the study results in light of the literature described in chapter 2 and place in the applied study context and profession/field of study.
Discuss the contribution of practical utility in terms of potential ways of applying conceptual frameworks, models, and processes directly in real contexts, specifically related to the particular study context and the broader social context.]