Category: Statistics

MAKE SURE YOU WATCH THE VIDEO FROM MY PROFESSOR FIRST, TO SEE HOW THE ASSIGNMENT SHOULD LOOK.
http://us-lti.bbcollab.com/recording/5d70b8c8510c4440a4c9d74a57b0885e
PART 1: CONDUCT A SIMPLE REGRESSION
With the attached Data sheet, complete the following task:
1. Conduct a simple linear regression based on the following research question: Does a person’s job satisfaction predict their organizational commitment?
2. Report and evaluate the regression diagnostics.
Your part 1 submission should be in APA 7 FORMAT, in 4 pages. Results should include,
*A simple linear regression based on the research question
*A report and evaluation of the regression diagnostics
* Assumptions relating to the test, and
* A brief narrative explaining results
PART 2: CONDUCT A SIMPLE REGRESSION
With the datasheet attached complete the following task:
1. Conduct a multiple linear regression based on the following research question: Does a person’s job satisfaction and leadership preference predict their organizational commitment?
2. Report and evaluate the regression diagnostics.
Your Part 2 submission should be completed in APA 7 FORMAT with a minimum of Four pages, with the results including,
* A multiple linear regression based on the research question
* A report and evaluation of the regression diagnostics
* Assumptions relating to the test, and
* A brief narrative explaining results.

Hi there , this is STAT 101 class and i am requesting the writer 325247 he/ she did my order. #545824358 on November 13 2023. so my order had 3 parts and he did the 3rd part wrong so i am requesting again for doing ONLY the 3rd part. Note – I uploaded a picture of my instructors feedback please correct it, Take the notes into consideration
PART 3 The Steps To Take:
When you have chosen your INTERVAL variable: Gather the frequency distribution for your variable and be sure you are using the numbers for the 2022 survey year. You will use the frequency distribution to find the mode, median, and range, when relevant. Remember to ignore any category that is for a “non” answer, e.g., don’t know, no answer, no response, etc. Be sure to note the names of the categories for your nominal and ordinal variables – they may be coded with numbers but those do not mean anything – use the names for each category! To get mean and standard deviation, please use this list. DO NOT CALCULATE THOSE YOURSELF. (You have too much to do right now and it’s not always possible, depending on which variable you chose.) Analyze only your INTERVAL variable in this part. If you would like more guidance on how to choose and deal with your variables, check out the examples tab. Use the outline to write up your analysis. There is no great need to include the frequency distributions – but if you do want to include them, put them in an appendix (optional). then have a paragraph describing your appropriate central tendency and variability statistical patterns for your variable in your own words. Use This Outline Interval Variable– Describe the distribution of your data for this variable. Interpret the frequency distribution and appropriate measure(s) of central tendency (Mean, Median, Mode, skew, best measure) and variability (Range, sd). Introduction – Tell us what your variable is, in everyday words and, briefly, why you chose it. Discussion: Description of the statistical patterns of central tendency and variability, in everyday words. Use ONLY the relevant statistics for the level of measurement. Please send it as a word pdf.INTERVAL variable. Please also check the list which I uploaded to get mean and standard deviation for the 3rd part of this assignment , please use the list given!! just like in the examples provided! please check the details list as well. if you have any question please contact me.

About: In this assignment, you will be looking at statistical output for the ANOVA. The objective is to apply your understanding of how the ANOVA and hypothesis testing works to tell us whether we have a significant relationship between our variables. 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 ANOVA hypothesis test.
Directions: Select ONE scenarios provided after the directions and complete the following report for your scenario.
Introduction (100 words minimum)
Explain what the independent and dependent variable is in your scenario
Provide the Null and Research hypothesis as based on the two variables provided
Methods (50 words minimum)
Descriptive Statistics: describe the observable differences between the groups (in other words compare their means)
State and briefly explain the f-statistic results (F-statistic and p-value in particular)
NOTE: YOU DO NOT HAVE TO CALCULATE ANY VALUES, ALL VALUES ARE PROVIDED IN THE STATISTICAL OUTPUT
3. Results (100 words minimum)
Interpret the results by explaining where there is a statistically significant relationship or not.
Make sure to state whether we accept or reject the null hypothesis.
Make sure to explain whether this means the two variables are statistically related or not.
4. Discussion (100 words minimum)
Provide some thoughts and considerations on why we obtained the results
Consider at least two additional variables that can explain the results
Clearly and fully explain how the additional variables can affect the results
Word Count: Your report should be about 350 words minimum! Include your word count at the end of your post.
Scenarios: Similar to our previous lab, here are some scenarios of various statistical outputs involving the ANOVA. Select ONE of the following to complete your assignment
ANOVA Lab Scenario 1: Days of Poor Mental Health by Religiousness
ANOVA Lab Scenario 2: Hours of TV by Level of Happiness
ANOVA Lab Scenario 3: Hours of Household Chores by Race
ANOVA Lab Scenario 1: Days of Poor Mental Health by Religiousness
About: In this scenario the researcher is interested in seeing if there is a difference in days of poor mental health between people of different religious levels
The groups that were examined were: Very religious, Moderately Religious, Slightly Religious, and Not Religious at All
Here are their results!
Statistical Output Begins
Descriptive Statistics: Days of Poor Mental Health by Level of Religiousness
Level of Religiousness
N
Mean
Std. Deviation
Very religious
199
2.90
6.680
Moderately religious
585
3.82
7.208
Slightly religious
463
4.50
8.166
Not religious at all
643
5.74
8.400
F-statistic Output
Type of Variation
df
Mean Square
F-statistic
Sig. Level
Between Groups
3
589.560
9.645
p < .001 Within Groups 1886 61.128 Source: General Social Survey, 2022 Directions: 1. If you decide to select this scenario, complete the instructions for lab analysis #2 based on these outputs. 2. Take a picture of the data output, copy and paste it, or keep both the scenario window open and the lab analysis assignment open ANOVA Lab Scenario 2: Hours of TV by Level of Happiness About: In this scenario the researcher is interested in seeing if there is a difference in hours of TV Watching per day between people of different happiness levels The groups that were examined were:Very Happy, Somewhat Happy, Not Too Happy Here are their results! Statistical Output Begins Descriptive Statistics: Days of Poor Mental Health by Level of Religiousness Happiness Level N Mean Hours of TV Standard Deviation very happy 521 2.90 2.869 pretty happy 1358 3.48 3.504 not too happy 459 3.47 3.384 F-statistic Output Type of Variation df Mean Square F-statistic Sig. Level Between Groups 3 68.366 6.095 p = .002 Within Groups 1886 11.216 Source: General Social Survey, 2022 Directions: 1. If you decide to select this scenario, complete the instructions for lab analysis #2 based on these outputs. 2. Take a picture of the data output, copy and paste it, or keep both the scenario window open and the lab analysis assignment open ANOVA Lab Scenario 3: Hours of Household Chores by Race About: In this scenario the researcher is interested in seeing if there is a difference in hours of household chores between people of different racial groups The groups that were examined were: White, Black, Other Here are their results! Statistical Output Begins Descriptive Statistics: Days of Poor Mental Health by Level of Religiousness Happiness Level N Mean Hours of Household Chores Standard Deviation White 804 9.90 hours 10.095 Black 1849.66 15.488 Other 127 11.46 11.252 F-statistic Output Type of Variation df Mean Square F-statistic Sig. Level Between Groups 2 149.8 1.175 p = .309 Within Groups 1112 127.4 Source: General Social Survey, 2022 Directions: 1. If you decide to select this scenario, complete the instructions for lab analysis #2 based on these outputs. 2. Take a picture of the data output, copy and paste it, or keep both the scenario window open and the lab analysis assignment open

Assignment Deliverable
Complete the following on the Data tab of the Pastas R Us data file: The file is attached.
1) Calculate “Annual Sales” for each restaurant. Annual Sales is the result of multiplying a restaurant’s “SqFt.” by “Sales/SqFt.” The first value has been provided for you.
2) Calculate the mean, standard deviation, skew, 5-number summary, and interquartile range (IQR) for each of the variables. The formulas and the first results have been provided for you.
3) Create a boxplot (sometimes referred to as a box and whisker chart) for the “Annual Sales” variable.
4) Create a histogram for the “Sales/SqFt” variable.
Respond to the following questions on the Questions tab of the Pastas R Us data file:
1) Does the annual sales boxplot look symmetric?
2) Would you prefer the IQR instead of the standard deviation to describe the dispersion of the annual sales variable? If so, why?
3) Does the histogram show that the sales per square foot distribution is symmetric?
4) If the sales per square foot distribution is not symmetric, what is the skew?
5) If there are any outliers, which one(s)? What is the “SqFt” area of the outlier(s)?
6) Is the outlier(s) smaller or larger than the average restaurant in the data? What can you conclude from this observation?
7) What measure of central tendency may be more appropriate to describe “Sales/SqFt”? Why?

You will be working on the Semester Project throughout the term in parts as Project Part Assignments. Additional information can be found on the Semester Project Information page. You will get feedback from your instructor on the parts of the project in the Project Parts as listed. Use that feedback to improve that portion of the project.
Project Part 1: Systematic Sample of your chosen Data Set
1) Choose 1 Data Set from the Data Sets for Project Parts and the Semester Project page.
2) Create a Systematic Sample with 35 values.
Use your birth month as the starting value in Row 1, then use your birthdate as your nth value. An example with additional details is the Data Sets.
3) Write at least 2 quality sentences explaining which Data Set you used, what your starting number was, your nth value, and how you did it, so that any other person would be able to obtain the same results.
4) List your 35 values in the order they were collected.
When working on each part of the Semester Project the Best Practice is to type the information onto the appropriate slide of the Template Download Template, remove the directions, and then copy and paste your work and results into the text submission area of the assignment.
You may submit the project part as a text submission, Word Document, or PowerPoint Slide from the Template (only that slide!) Do not submit your work as an embedded image in one of those files. Images cannot be accepted for these assignments. (File Types allowed: .doc,.docx, ppt., pptx)
my birth month 06 birth day 08

I have uploaded the Rubric/Guidelines, Module Overview, Reading and Resources, and chapters from the textbook.

I need help calculating statistical analysis for a psychology undergrad research paper. I need help with the analysis of 3 hypothesis with given data and survey items. The variables measured are the variables of 1)2 personality traits, 2)workaholism and 3) general sociodemographics. Scales used are BWAS(workaholism) and mini IPIP(Neuroticism and Concienciousness) all of which use liker scales.I would like the writer to apply the appropriate statistical methods such as ANOVA, T tests,Regression and correlation in order to examine my hypothesis, as well as do general descriiptives and provide me with a) an output of the results on SPSS b)the calculation methods used and why and c) given a very brief explanation of the results so I can understand them better. I would like the writer to only use the SPSS statistical software. Further information and files can be given to the writer if needed

Initial Post: Choose one out of the 10 provided datasets and write a post that includes:
The name of the dataset.
A description of the x and y variables.
A trendline (regression line) graph of the data created in Excel or Desmos.
The equation and correlation coefficient.
A clear description of the trend of the association of the x and y variables by discussing the trend, shape, and strength.

DB: Module 4 Practice Tests Chapters 8 & 9: Post your Math questions from chapter 8 & 9 on
1414 unread replies.1818 replies.
You are required to post (at least) one question and its solution either from Chapters 8 & 9 Practice Tests posted under the modules, or any source of your choice (per grading policy in the syllabus). You must read all the posts and make sure not to duplicate any questions; similar questions are acceptable.
Read all the posts: questions and solutions posted by others first, and pick a different question to post (No duplication is allowed). A question with One-word solution, One-line solution, or Definition is not acceptable and results in ZERO Points for the post . (10 points)Write the question number and copy down the question
Show all steps using the math equation editor or embed an image solution as explained below.
Find a similar problem online, or on YouTube, or Khan Academy and post the link. (5 points)
Comment on (Explain) at least one classmate question that is either solved or is found online and posted by watching it carefully in its entirety. Explain about what the question addressed and what you learned from it and outline a few steps you learned as a result; a compliment is nice but is not a comment. To receive credit for this part, write the name of your classmate. (5 points)
Example of a Student Post (Made up example):
1. Question 15: Find the mean, median, mode, and range for the following Population list: 13, 18, 13, 14, 13, 16, 14, 21, 13
Solution: 𝜇=∑𝑥𝑁=13+18+13+14+13+16+14+21+139=9
The median is the middle value, so rank the data first: 13, 13, 13, 13, 14, 14, 16, 18, 21
Population size: N = 9, so the middle value will be the (9 + 1) ÷ 2 = 10 ÷ 2 = 5th number:
13, 13, 13, 13, 14, 14, 16, 18, 21 ⟹𝑀𝑒𝑑𝑖𝑎𝑛=14
The mode is the number that is repeated more often than any other: ⟹𝑀𝑜𝑑𝑒=13
𝑅𝑎𝑛𝑔𝑒𝑅=𝑀𝑎𝑥−𝑀𝑖𝑛=21−13=8
2. Similar Question found on YouTube: Find the mean, median, mode, and range
https://www.youtube.com/watch?v=k3aKKasOmIwLinks to an external site.
3. Comment on question by John Doe’s YouTube post:
This post was about finding the Z Scores; they represent number of standard deviations away from the mean. A positive Z-score indicates a score which is above the average score in class. A negative Z-score indicates a score which is below the average score in class. A zero Z-score indicates a score equal to the average score in class.
https://www.youtube.com/watch?v=1yYCyAwg-7gLinks to an external site.
Grades: A positive Z Score represents a grade greater than the mean (average) grade in class. A negative Z Score represents a grade smaller than the mean (average) grade in class. A zero Z Score represents a grade that is equal to the mean (average) grade in class.
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Please refer to the following instructions for “How to Embed an Image in Canvas Discussion” for help.How to Embed an Image into a Canvas Discussion Board – YouTubeLinks to an external site.++++++++++++++++++++++++++++++

Using the Week 2 DataSet, create the following five figures using SPSS.
1. A scatterplot with best line of fit for pre-BMI and self-esteem
2. A histogram and a line graph—create one histogram depicting the frequency of distribution for each pre-exercise level, and then
3. Create a line graph depicting the frequency of distribution for each post-exercise level
4. A comparative bar graph—create a vertically oriented bar chart, showing the distribution of BMI Group levels by the three different education groups
5. A pie chart—for pre-BMI groups, showing the percentage of each