Category: Statistics

In what scenarios would you choose a MANOVA over multiple regression, and vice versa? As part of your response, consider the assumptions, advantages, and limitations of each method, as well as the practical implications for research design and interpretation of results.
Have at least one APA style in-text citation and reference (peer-reviewed and/or textbook) to support your writing

Objectives
To
successfully complete this assignment, you will be expected to:
1.   
Produce a question
that can be answered with a correlation analysis and accurately explain why the
analysis is appropriate for the data and question to be answered.
2.   
For the identified
question, perform and report one correlation analysis to test relationships
using APA-compliant format.
3.   
Produce and explain an
effective chart or graph to display information about the correlation analysis.
4.   
Produce a question
that can be answered with a regression or multiple regression analysis and
accurately explain why the analysis is appropriate for the data and question to
be answered.
5.   
For the identified
question, perform and report one regression or multiple regression analysis to
test relationships using APA-compliant format.
Instructions
Using
the Food Affordability Dataset [XLSX],
develop one program question that can be answered with a correlation analysis.
Then, perform one correlation analysis (using two continuous data points) to
test relationships. Be sure to include the JASP/Excel output and report the
findings using APA-compliant format. Additionally, you should produce an
effective chart or graph to display information about the correlation analysis.
This is likely to be in the form of a scatterplot, since correlation requires
two continuous variables. To achieve maximum credit on this criterion, you must
both accurately identify, perform, and thoroughly report the program question
and statistical findings using APA-compliant format.
Next,
develop one program question that can be answered with a regression or multiple
regression analysis. Then, perform one regression or multiple regression
analysis. Be sure to include the JASP/Excel output and report the findings of
your regression or multiple regression analysis using APA-compliant format. To
achieve maximum credit on this criterion, you must both accurately identify,
perform, and thoroughly report the program question and statistical regression
or multiple regression findings using APA-compliant format.
Once
you have gathered this information, submit a final Word document that includes
a header for each required component of this assignment. 3-4 pages not including title page and reference page. Use these provided
headers (in APA-compliant format) for each section:
1.   
Correlation Analysis.
1.   
Program Question.
2.   
Explanation of
Appropriateness.
3.   
Statistical Analysis.
4.   
Interpretation and
Report.
5.   
Chart or Graph.
2.   
Regression or Multiple
Regression Analysis.
1.   
Program Question.
2.   
Explanation of
Appropriateness.
3.   
Statistical Analysis.
4.   
Interpretation and
Report.

bio statistics questions to answer using a statistical software eg spss using a csv file of data given to answer the questions

Complete one of your own Goodness-of-Fit Test or Test of Independence from the options in this linked document below. You will use our class data to inform your hypothesis test. Model your work after the sample assignments we did in the video quizzes above. Turn in your completed Goodness-of-Fit Test or Test of Independence using the submission button below for grading. 
Choose Your Own: Goodness-of-Fit Test or Test of Independence to complete https://docs.google.com/document/d/1VUlx4UzI2by0tAzd57ZfJtFm4YtBOqJxf5_YuT92wtc/edit
Chapter 11 Project Rubric
Chapter 11 Project Rubric
Criteria Ratings Pts
This criterion is linked to a Learning OutcomeTable of Observed Values
Organized frequency table of contingency table of observed values.
1 pts
Full Marks
0 pts
No Marks
1 pts
This criterion is linked to a Learning OutcomeTable of Expected values
Organized frequency table or contingency table of expected values.
1 pts
Full Marks
0 pts
No Marks
1 pts
This criterion is linked to a Learning OutcomeHypothesis (written in the context of the claim)
H0: Good Fit OR Independence
H1: Not a Good Fit OR Dependence
2 pts
Full Marks
0 pts
No Marks
2 pts
This criterion is linked to a Learning OutcomeTest Statistic
1 pts
Full Marks
0 pts
No Marks
1 pts
This criterion is linked to a Learning OutcomeP-value
1 pts
Full Marks
0 pts
No Marks
1 pts
This criterion is linked to a Learning OutcomeConclusion
Accurate picture of distribution with shaded p-value. Correct decision to reject or fail to reject H0 based on the p-value and the significance level.
2 pts
Full Marks
0 pts
No Marks
2 pts
This criterion is linked to a Learning OutcomeInterpretation
Worded interpretation to “support” or “not support” in the context of the claim supported by conclusion.
2 pts
Full Marks
0 pts
No Marks
2 pts
This criterion is linked to a Learning OutcomePresenatation
Careful and thoughtful attention was given to the presentation of your project
4 to >2.0 pts
Full Marks
The project is neat and free or errors such as typos, scratch marks or egregious grammatical errors. The project is coherent and simple to follow your thought process. Correct notation and imagery is used. If the assignment is hand written, it should be legible and written on clean paper and photographed or scanned legibly.
2 to >0.0 pts
Partial Credit
The project is fairly neat and free of major errors. Typos, scratch marks and grammatical errors are few. The project is mostly coherent and simple to follow your thought process. Correct notation and imagery is used. If the assignment is hand written, it is mostly legible and is scanned or photographed so it is legible.
0 pts
No Marks
4 pts
Total Points: 14

1.Enter your data into SPSS, run frequency tables, appropriate charts, measures of central tendency and measures of variability, please attach your syntax and output.
2. Formulate and test the hypothesis in which:
Please use 5 steps hypothesis testing model and be as detailed as possible in your calculations and explanations.

Chapter 12 Project
Linear Correlation and Regression Project 
Collect data for two variables. Collect at least 15 pairs of such data. Be sure the data follows the necessary requirements presented in chapter 12.
State your hypothesis/claim in words so I know what two variables, x and y,  you are analyzing. 
Clearly organize your data in a table and graph it as a scatter plot on a set of axes.
Find the linear correlation coefficient r  and state what its value suggests about the relationship between x and y.
Test to see if there is a linear correlation between the variables x and y by finding the P-value. Include the hypotheses, how the p-value determined the conclusion of the hypothesis test and a written interpretation of that conclusion in the context of the claim (hypotheses). Use a 0.05 significance level.
Find the regression equation and accurately draw and label it on your scatter plot.
Use the regression equation to make a prediction about the population your data came from. Do this even if your hypothesis test says no correlation exists.  For example, if a father’s height is 83” what is the predicted height of his son? 
Variable Examples (but please feel free to get creative – use our class data, or try using data analytics from your phone or smartwatch or social media accounts)
The heights of a father and son
The number of square feet in a house and the number of people living in that house
The number of hours people spend exercising each week and their resting heart rate
Number of miles on an odometer and the mean number of hours driven per day
Number of hours on your phone each day and the number of apps on your phone
NFL team wins this season and total number of points scored this season
People’s typing speed and texting speed
Student’s reaction time and typing speed 
If you don’t want to use our class data, you can collect your own, just be sure to collect at least 15 pairs. Here are a few links to some other data sets that would work if you are interested in these topics: 
Global Average Temperatures AnomaliesLinks to an external site.
Arctic Ice DataLinks to an external site.
World Grain Consumption DataLinks to an external site.
Hourly Wage by Race and GenderLinks to an external site.
Upload your completed assignment as a single pdf using the “submit” link below.
There is no sample assignment for this project. At this point in the semester you are well skilled at producing a complete hypothesis test and all its necessary requirements. Please only submit your neatest and best work. Sloppy and illegible work will not be graded. Please proofread your assignment for errors before you submit it. Check out the attached rubric for more grading specifications. 
Chapter 12 Paper Assignment
Chapter 12 Paper Assignment
Criteria Ratings Pts
This criterion is linked to a Learning OutcomeClaim
Present your claim in words of linear correlation for the defined population and paired quantitative data.
2 to >0.0 pts
Full Marks
0 pts
No Marks
2 pts
This criterion is linked to a Learning OutcomeData
Organized data (at least 15 pairs) in a table and graphed in a scatter plot
2 to >0.0 pts
Full Marks
0 pts
No Marks
2 pts
This criterion is linked to a Learning OutcomeCorrelation Coefficient r
State its value and what it suggests about the relationship between x and y
3 to >0.0 pts
Full Marks
0 pts
No Marks
3 pts
This criterion is linked to a Learning OutcomeHypothesis Test
Test to see if there is a linear correlation between the variables x and y by finding the P-value. Include hypothesis written symbolically and in words. Indicate how the p-value determined the conclusion of the hypothesis test and a written interpretation of that conclusion in the context of the claim (hypotheses). Use a 0.05 significance level. Include how the results of the hypothesis affect the use of the regression equation.
3 to >0.0 pts
Full Marks
0 pts
No Marks
3 pts
This criterion is linked to a Learning OutcomeRegression Equation
Find the regression equation and accurately draw and label it on your scatter plot.
2 to >0.0 pts
Full Marks
0 pts
No Marks
2 pts
This criterion is linked to a Learning OutcomePrediction
Use the regression equation to make a prediction about the population your data came from. Do this even if your hypothesis test says no correlation exists.
3 to >0.0 pts
Full Marks
0 pts
No Marks
3 pts
This criterion is linked to a Learning OutcomePresenation
Careful and thoughtful attention was given to the presentation of your project
4 to >2.0 pts
Full Marks
The project is neat and free or errors such as typos, scratch marks or egregious grammatical errors. The project is coherent and simple to follow your thought process. Correct notation and imagery is used. If the assignment is hand written, it should be legible and written on clean paper and photographed or scanned legibly.
2 to >0.0 pts
Partial Credit
The project is fairly neat and free of major errors. Typos, scratch marks and grammatical errors are few. The project is mostly coherent and simple to follow your thought process. Correct notation and imagery is used. If the assignment is hand written, it is mostly legible and is scanned or photographed so it is legible.
0 pts
No Marks
4 pts
Total Points: 19

Formulate and test the hypothesis in which:
Please use 5 steps hypothesis testing model and be as detailed as possible in your calculations and explanations
I will provide the PDF with it

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