Category: Statistics

the assignment is completed I just need a data analysis spreadsheet for the information I provided You will create your own hypothesis statement (null and alternative) about the house prices in the zip code you have chosen. Then you will do research to find the median house price and the actual house prices of 30 houses in that zip code. You will run your test and then make a conclusion regarding whether house prices have changed, gotten higher or gone lower. Use any zip code you like. Do some research about a new neighborhood, your neighborhood or even another state. Potential Pitfalls
Be sure your hypothesis statement and the type of test you use match. Remember what it means to be left-tailed, right-tailed or two tailed.
Not including all of the required elements. Be sure to read through the file carefully and include all of the pieces in your final presentation.
Make sure you have the Data Analysis Tool installed in your excel. Everyone has excel from the school, so make sure you know how to access it. You should have used it in project 1 as well.

Use data
_
21 for the following tasks.
1. I want to see the relationship between “Total hours a week your partner spends on
housework” (phwwkhs) and “Total hours a week you personally spend on housework”
(hwwkhs) using correlations.
a. Set up the hypotheses.
b. Choose the appropriate correlation metric to use (use graphical methods and
numerical tests etc.).
c. Interpret the outcome of the correlation type chosen to evaluate the relationship
between the two variables. (Write a clear and complete sentence)
2. Compare the total number of years in full-or part time work (yrspdwka) between genders.
a. Set up the hypotheses.
b. Decide on which test is most appropriate for this comparison.
c. According to the output draw conclusions on whether there are significant differences
between the groups and answer your hypotheses. (Write a clear and understandable
sentence)
3. Compare the variables “Total number of years in full-or part time work” (yrspdwka) and the
“Years of full-time education completed” (eduyrs).
a. Set up the hypotheses.
b. Decide on which test is most appropriate for this comparison.
c. According to the output draw conclusions on whether there are significant
differences between the groups and answer your hypotheses. (Write a clear
and understandable sentence)
4. You would like to compare “the importance to care for nature and environment” (Variable:
impenv), “the importance to follow traditions and customs” (Variable: imptrad) and “the
importance to seek fun and things that give pleasure” (Variable: impfun).
a. Set up the hypotheses.
b. Decide on which test is most appropriate for this comparison.
c. According to the output draw conclusions on whether there are significant
differences between the groups and answer your hypotheses.
d. If there are significant differences, perform post-hoc tests and draw a conclusion.
Use data_22 for the following tasks. 
5. Compare the variable “GDP per capita” (GDPCAPITA) across the three groups of the variable
“Fertility rate, total” (FERTILITY). Hint: You need to categorize FERTILITY variable into three
categories: low (fertility rate <= 2.5), Medium (fertility rate <= 4.5) and high (for else). Use the transform option to create new variable. a. Set up the hypotheses. b. Decide on which test is most appropriate for this comparison. c. According to the output draw conclusions on whether there are significant differences between the groups and answer your hypotheses. d. If there are significant differences, perform post-hoc tests and draw a conclusion. 6. We want to evaluate the effect of two independent variables, Fertility (the categorized one in task 5) and Inflation (categorize it into two levels, low ( 5)) on the dependent variable GDP per capita (GDPCAPITA). a. Draw a design for two-way ANOVA and set up all possible hypotheses. b. Decide whether this design is useful or not (Check the assumptions of this design). c. Analyze the main output of this test and perform the post hoc test if needed and draw your conclusions. d. Do some search and find out what are the better alternatives to this model design.

Please answer all the question attached and answer each question in the attached file not all of them in the same file. Pleae look at all the attchedmenst

About: In this assignment, you will examine various scenarios involving a hypothesis test we have been working with called the independent samples t-test. The objective is to understand the statistical process of testing hypotheses and interpreting results. You will analyze provided data and write a report explaining the populations, variables, which one is the independent and dependent variable, and the results of the hypothesis test.
Directions: Select ONE scenarios and complete the following report for each scenario.
IntroductionReview the provided data describe the goal of the research including what the independent and dependent variable is. Provide the Null and Research hypothesis based on the data provided.
Methods
Describe the data including sample sizes for each group, mean hours for each group, variance, and observable differences
State that the independent samples t-test was conducted and provide all the important results (t-statistic, p-value, degrees of freedom)
3. Results
Interpret the results, is there a statistically significant relationship?
Do we accept or reject the null hypothesis?
Are the two variables related to one another?
4. Discussion
Discuss any potential limitations of the test and results
Provide some thoughts on why we obtained the results we obtained, consider various logical explanations
Word Count: Each report should be about 300 words or more, giving about 75 to 100 words per section in the directions provided.
Scenarios: Similar to the prep-lab, and the here are some scenarios of various statistical outputs involving t-tests. Select ONE of the following to complete your assignment
T-Test Lab Scenario 1: Chores by Gender/Sex
T-Test Lab Scenario 2: Number of Energy Drinks by Student Status
T-Test Lab Scenario 3: Retired vs Non-Retired & Stress Scores
T-Test Lab Scenario 4: Working Class vs Middle Class & Hours Spent on Leisure T-Test Lab: Scenario 1
Chores by Gender/Sex
Important: Before completing the scenarios be sure you have completed the pre-lab and have looked at the directions in the Lab Analysis #1 Assignment.
About: In this scenario the researcher is interested in seeing if there is a difference in hours spent on chores per week based on Gender/Sex. Here are their results! Be sure to look at only the one-tailed p-value results.
Statistical Output
Descriptive Statistics: Hours Spent on Chores per Week by Sex
SamplesNMeanVariance
Males3146.4 hours5.5
Females4457.5 hours3.7
T-statistic Output
T-statisticdegrees of freedomOne-Tailed (Sig.)Two-Tailed (Sig.)
3.9757p = .000052p = .000105
If you have selected this scenario, complete the lab analysis #1 based on these outputs. Feel free to copy and paste these outputs onto a word document along with the instructions of Lab Analysis #1 to begin your Lab Analysis.
T-Test Lab: Scenario 2
Energy Drinks by Student Status
Important: Before completing the scenarios be sure you have completed the pre-lab and have looked at the directions in the Lab Analysis #1 Assignment. Remember you just have to choose two scenarios.
About: In this scenario the researcher is interested in seeing if there is a difference in energy drinks consumed per week based on student status (student vs non-student). Here are their results! Be sure to look at only the one-tailed p-value results only.
Statistical Output
Descriptive Statistics: Energy Drinks by Student Status
SamplesNMeanVariance
Students561.1.33
Non-Students710.25.65
T-statistic Output
T-statisticdegrees of freedomOne-Tailed (Sig.)Two-Tailed (Sig.)
1.855125p = .032976p = .065952
If you have selected this scenario, complete the lab analysis #1 based on these outputs. Feel free to copy and paste these outputs onto a word document along with the instructions of Lab Analysis #1 to begin your Lab Analysis.
T-Test Lab: Scenario 4
Hours of Leisure by Class
Important: Before completing the scenarios be sure you have completed the pre-lab and have looked at the directions in the Lab Analysis #1 Assignment.
About: In this scenario the researcher is interested in seeing if there is a difference in hours spent on leisure per week based on Social Class. Here are their results! Be sure to look at only the one-tailed p-value results.
Statistical Output
Descriptive Statistics: Hours of Leisure based on Social Class
SamplesNMeanVariance
Middle Class
5038.96.5
Working Class4787.1 hours
7.8
T-statistic Output
T-statisticdegrees of freedomOne-Tailed (Sig.)Two-Tailed (Sig.)
1.033979p = .15093p = .301859
If you have selected this scenario, complete the lab analysis #1 based on these outputs. Feel free to copy and paste these outputs onto a word document along with the instructions of Lab Analysis #1 to begin your Lab Analysis.
T-Test Lab: Scenario 3
Stress Scores by Retired Status
Important: Before completing the scenarios be sure you have completed the pre-lab and have looked at the directions in the Lab Analysis #1 Assignment. Remember you just have to choose two scenarios.
About: In this scenario the researcher is interested in seeing if there is a difference in Stress based on retired status (retired vs not retired). Here are their results! Be sure to look at only the one-tailed p-value results only.
Statistical Output
Descriptive Statistics: Stress Scores by Retired Status
SamplesNMeanVariance
Retired3413.25.6
Not Retired
5516.87.9
T-statistic Output
T-statisticdegrees of freedomOne-Tailed (Sig.)Two-Tailed (Sig.)
4.90187p <.001 p <.001 If you have selected this scenario, complete the lab analysis #1 based on these outputs. Feel free to copy and paste these outputs onto a word document along with the instructions of Lab Analysis #1 to begin your Lab Analysis.

MUST USE SAS!!!
complete this poster template using SAS with the relationship data provided by me. The peer reviewed articles provided must only be used for the introduction . eveything else must be from SAS.
in the “project over view” pdf , ONLY do research topi #1.
i have provided the 2 peer reviewed artilces 

Find the variances, z-scores, selecting data set, calculate de median, the standard deviation, create a histogram, others.

Traditionally, the methodology section of a research paper demonstrates how the research study was carried out and why. In the paper for the final project, however, you will be discussing how you gathered data and information on the area or community you are focusing on for your final project and the problem area or need you identified. This discussion area allows you to construct your methodology section of the capstone project while receiving feedback from your peers and instructor.
For your initial post (1), you must:
Review the Gathering Community Information (Methodology) section in the Final Project Document. Consider what kinds of data are more appropriate for diverse populations. Then, review the optional resources in Module Two on choosing methodologies. In your initial post, discuss which methodology you plan to use for gathering information on the community you select and provide a rationale for your selection.
I have uploaded the templte that must be used but change out the city I will be using Chigico Opoids is what am working  on the templete must be used only change out the nesscary information the referenves must be in abc order

answer all of the following questions showing your work or explaining how you obtained your answers. No credit is granted otherwise. you must choose any questions that add up to 100 points, but you MUST answer questions #3,#5,#8.

Use statistical software to create, interpret, and analyze two histograms in a Word document.
Collapse All
Introduction
Exploring the associations between some variables in the courseroom using correlations might provide some important information about learner success. You’ll need to pay attention to both magnitude, which is the strength of the association, and directionality, which is the direction (positive or negative) of the association. During this assessment, you’ll start learning about how to best approach correlational analyses like these and start getting some answers. You’ll explore the relationships that may or may not exist in your courseroom data.
In this assessment, you’ll get a chance to run and interpret your first inferential statistics analysis: correlations. Your readings and the Course Study Guide will help you in your efforts.
Instructions
For this assessment, you will use the Data Analysis and Application template (DAA Template [DOCX] Download DAA Template [DOCX]).
• For help with statistical software, refer to the JASP Step-by-Step: Correlations [PDF] Download JASP Step-by-Step: Correlations [PDF]document.
• View JASP Speedrun: Correlations [Video] for a brief tutorial video on this assessment.
• Refer to the 7864 Course Study Guide [PDF] Download 7864 Course Study Guide [PDF]for information on analyses and interpretation.
• For information on the data set, refer to the 7864 Data Set Instructions [PDF] Download 7864 Data Set Instructions [PDF]document.
The grades.jasp Download grades.jaspfile is a sample data set. The data represent a teacher’s recording of student demographics and performance on quizzes and a final exam across three sections of the course.
This assessment is on correlations. You will analyze the following variables in the grades.jasp Download grades.jaspdata set:
Variables and Definitions
Variable Definition
Quiz 1 Quiz 1: number of correct answers
GPA Previous grade point average
Total Total number of points earned in class
Final Final exam: number of correct answers
The DAA Template [DOCX] Download DAA Template [DOCX]has five sections:
• Data Analysis Plan.
• Testing Assumptions.
• Results & Interpretation.
• Statistical Conclusions.
• Application.
Step 1: Write Section 1 of the DAA: Data Analysis Plan
• Name the four variables used in this analysis and whether they are categorical or continuous.
• State a research question, null hypothesis, and alternate hypothesis for the total-final correlation.
• State a research question, null hypothesis, and alternate hypothesis for the gpa-quiz1 correlation.
Step 2: Write Section 2 of the DAA: Testing Assumptions
Test for one of the assumptions of correlation—normality.
• Create a descriiptive statistics table in the statistical software to assess normality. This table should include the four variables named above including skew and kurtosis for each variable.
• Paste the table in the DAA template.
• Interpret the skewness and kurtosis values and determine whether the assumption of normality was violated or not violated.
Step 3: Write Section 3 of the DAA: Results & Interpretation
• Using the statistical software, paste the intercorrelation matrix for the four variables into the document.
• Below the output, first report the total-final correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.
• Second, report the gpa-quiz1 correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.
Step 4: Write Section 4 of the DAA: Statistical Conclusions
• Provide a brief summary of your analysis and the conclusions drawn about correlations.
• Analyze the limitations of the statistical test and/or possible alternative explanations for your results.
Step 5: Write Section 5 of the DAA: Application
• Analyze how you might use correlations in your field of study.
• Name two variables that would work for such an analysis and why studying the relationship may be important to the field or practice.
Submit your completed DAA Template as an attached Word document in the assessment area.
Software
The following statistical analysis software is required to complete your assessments in this course:
• Jeffreys’s Amazing Statistics Program (JASP).
Refer to the Tools and Software: JASP page on Campus for general information. Make sure that your statistical software is downloaded, installed, and running properly on your computer.
Competencies Measured
By successfully completing this assessment, you will demonstrate your proficiency in the course competencies through the following assessment scoring guide criteria:
• Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
o Analyze statistical assumptions.
• Competency 2: Analyze the decision making process of data analysis.
o Articulate the data analysis plan.
• Competency 3: Apply knowledge of hypothesis testing.
o Interpret statistical results and hypotheses.
• Competency 4: Interpret the results of statistical analyses.
o Explain statistical conclusions, the limitations of the test, and/or possible alternative explanations.
• Competency 6: Apply the results of statistical analyses (your own or others) to your field of interest or career.
o Analyze the potential applications of the test in the field and their implications.
• Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.
o Communicate in a manner that is scholarly and professional, and adheres to APA style and formatting.

Find the variances, z-scores, selecting data set, calculate de median, the standard deviation, create a histogram, anothers