Category: Statistics

Initial Post: Choose a topic for your final paper and create at least six survey questions around this topic. At least three questions must have numerical responses and at least three questions must have categorical responses. Adhere to the following requirements: (TOPIC- The impact of social media on the developing minds of the upcoming generation.)
Responses to numerical questions should be fill-in-the-blank (not multiple choice).
Responses to categorical questions can be multiple choice (include “other” as one of the options) or fill-in-the-blank.
For at least one categorical question, allow only one response.
When you are conducting research, you are gathering data to answer questions. Usually, you will have an idea of what you think the results will look like. Make at least two predictions on what results you are expecting. Choose one of your numerical questions and make a prediction about what the mean answer to that question will be. Choose one categorical question and make a prediction about the proportion (or percent) of the responses will be.

For this assignment, you’ll practice what you’ve learned over the past two weeks. You’ll also begin working toward your final assignment in Week 9.
Preparation
If you haven’t already, complete the following before starting your assignment:
Download the Planning for Your Data [DOCX] worksheet.
Find another opening (different from the one you picked for the Week 3 assignment) 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.
Instructions
Complete and submit the Planning for Your Data [DOCX] worksheet.
Tips for success:
Pay attention to when you are asked to copy and paste JASP information and when you are not asked to do so.
Do each step one at a time. Running statistical tests requires paying attention to details. Pay special attention to which data file to use—you’ll use several of them.
Keep JASP, your textbook, and Statistical Analysis in JASP: A Guide for StudentsLinks to an external site. 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 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 assignment, you will demonstrate your proficiency in the following course competencies and scoring guide criteria:
Competency 1: Interpret complex statistical findings and graphs in the context of their level of statistical significance, including the influence of effect size.Interpret chi-square test results.
Interpret the results of a correlation test on the news and happy variables.
Interpret the results of a Spearman’s rho test on the news and life variables.
Interpret the results of an ANOVA test.
Competency 2: Apply statistical analyses to problems in the social sciences.Describe nominal data and statistical analysis of nominal data.
Perform a chi-square test.
Explain how a correlation differs from other statistical tests.
Perform a Pearson correlation test on the news and happy variables.
Perform a Spearman’s rho test on the news and life variables.
Explain how an ANOVA is different from other statistical tests.
Perform an ANOVA.
Explain when to use different statistical tests.
Identify the research question, statistical test, variables, and hypotheses for the archival data project.
Competency 4: Plan career contingencies based on accurate self assessment of abilities, achievement, motivation, and work habits as they relate to statistics.Plan 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 hypotheses and results of a Spearman’s rho test.
View Rubric
Planning for Your Data
Planning for Your Data
CriteriaRatings

Requesting Writer 433306 ,
Hypothesis Testing: Correlation/Regression & Chi-Square.
The Data Analysis Project (DAP 3) write TWO hypotheses with variables of your choosing , choose your interval variable (and another) OR both your nominal and ordinal variables.. We are using the General Social Survey (GSS) and the SPSS program to provide our data and statistics.This project consists of doing TWO hypothesis test, a Correlation/Regression analysis and a Chi-Square, so two test are required, please do each one separately.
Follow these directions to do the analysis:
1- Be familiar with the GSS data 2022
2- Look at the files on the DAP SPSS results page so that you know what your options are, Please check the uploaded files.
Look at the variable names in the titles of the files and choose a test that uses variables that are interesting to you.
Download the file(s) you choose so that you know where and what they are. Open the file, find the page you want and “print” or save only that page – or delete all the other pages! Be sure to save it! When doing one of each type of test, open up the other file and choose one test result to use. Be sure you are not doing two of the same type of test!. One Correlation/Regression and one Chi-Square.
3- Open up and write your results in a Word file, so that you can work on it over a few days.
When you are writing your draft:
4- Follow the outline below to write up your test.
Follow the five steps of Hypothesis Testing and do each test write-up separately#!!!!
Make sure you do the full interpretation as needed. Refer to the Hypothesis Testing Interpretation sheet.
5- Remember that your goal in Step 5 below – Interpretation – is to put into everyday words whatever that relationship is (or is not) between our variables.
6- second hypothesis test should be the other type of test . A second test of the same type will not be graded.
Follow this outline to write up your findings:
1- Introduction – briefly introduce what you are analyzing – what two sets of variables will you be testing?
2- Hypothesis Test #1 (choose one of your tests)
A-State your H1 and H0
B-What is the test statistic?
C-What is the critical value and what did you use to find it (df, alpha)?
D-What is your decision about the null hypothesis?
E- Interpret in everyday words what is going on with your variables?
3- for the second test, follow the same format: Hypothesis Test #2 (use a different test)
A-State your H1 and H0
B-What is the test statistic?
C-What is the critical value and what did you use to find it (df, alpha)?
D-What is your decision about the null hypothesis?
E-Interpret in everyday words what is going on with your variables?
4- Conclusions – a brief summary of what you learned and how it might inform us about people and society.
5- Appendix – attach the pdfs of your hypothesis tests.
AGAIN, Hypothesis Test #1 & Test 2 each one separately
– Steps 1-4
1 – state the research and null hypotheses
2 – test statistic
3 – Critical Value of the test statistic
4 – Decision on the null hypothesis
AND , Hypothesis Test #1 & Test 2 each one separately- Interpretation
A full description of the relationship of the variables is clearly described in everyday words that most anyone could understand and in which they could learn something about people and society.
Conclusions, Brief conclusion describing what we learn from these two tests.
Appendix – hypothesis test file(s) Test result files are attached.
On this page, you will find the files that contain hypothesis test results.
Open the file with the type of test you have chosen, Correlation/Regression or Chi-Square.
Look at the test results and choose one test that uses variables that are interesting to you.
Save or download the page with the test result your want to use. (Open the file, find the page you want and “print” only that page – or delete all the other pages!) If you chose a correlation/regression, the second one should be a chi-square, and vice-versa.
Here are the test results!
Correlation/Regression test results , two interval variables in each test, This file has seven Correlation/Regression results between the following variable combinations: Age AND TV hours, WWW (internet) hours
Education AND Age of the respondent when their kids were born, the number of children the respondent has, Respondent’s income, TV hours, WWW (internet) hours
Chi-Square and related stats test results , nominal and ordinal variables in each test, This file has 27 Chi-Square results between the following variable combinations:
Health AND Social class, Race, and Partner & living situation
Happiness AND Social class, Race, and Partner & living situation
Life AND Social class
Fear (of walking alone in their neighborhood) AND Social class and Race
Religious person AND Race
Spiritual person AND Race
Trust AND Social class and Race
Suicide opinion AND Social class
Gun ownership AND Social class, Race, and Partner & living situation
Own/Rent Home AND Social class and Race
Bible opinion AND Social class and Race
Bible opinion AND Abortion opinions (you can use any or all of these five results – looking at people’s opinions about the bible compared to their opinion on one type of abortion situation or all of them). The opinions include: abortion is ok 1) for any reason, 2) in case of birth defects, 3) health of the woman is in danger, 4) they don’t want any more kids, 5) in case of rape.

Hello,
Important: Kindly arrange a meeting with the tutor ASAP, so I can save time and explain clearly my requirements.
Important: Kindly ensure not sharing the below details with other students.
I want you to use smartPLS only to analyse a collected data via a conducted survey (see survey in the attached document) to discover the existence of relationship between Big Data Analytics Capability (BDAC), and the adoption of Digital Twins in maintenance.
Also, the survey has been established to explore the multifaceted influence of digital leadership on the above-mentioned relationship within metal plants in industry sector.
Finally, I am expecting from you:
1) Arrange a meeting at earliest as possible for better understanding.
2) Provide a copy of the corrected version of attached excel sheet that you are going to use when uploading data into smartPLS.
3) Provide a written discussion and conclusion two (2) sections about approx. 4000-5000 words in total, while ensure using APA 7th edition, also following the same approach used in the attached article 100 – How do dynamic capabilities enable hotels to be agile and resilient- A mediation and moderation analysis, i.e. do calculations similar to this article and provide similar tables.
4) Keep the work saved at your workplace in smartPLS in case I came back with few comments by my tutor, so you can support.
See the below for:
1. Scale details:
-Dynamic Capability (DC) questions borrowed from (Hussain & Malik, 2022) see attached related article.
-BDAC questions borrowed from (Dubey, Gunasekaran & Childe 2019) see attached related article.
-Digital Twins questions borrowed from (Memar et al., 2021) see attached related article.
-Digital Leadership questions borrowed from (Mollah et al., 2023) see attached related article.
However, I have made minor modifications related to the wording of some questions.
2. Hypotheses details:
H1: BDAC fully mediates the relationship between sensing and adopting digital twins in maintenance.
H2: BDAC fully mediates the relationship between seizing and adopting digital twins in maintenance.
H3: BDAC partially mediates the relationship between transforming and
adopting digital twins in maintenance.
H4: Digital leadership moderates the relationship between BDAC and adopting digital twins in maintenance.

PART I: Data Collection
1. Select a topic from the list of available project ideas or you may come up with your own idea.
Note that if you choose to use your own topic idea, it should be approved by the instructor
before you begin any work for the project. Make sure to choose a topic where you can collect
QUANTITATIVE DATA.
2. Write a survey question that can be asked in your sample to get the results necessary to
complete the tasks of this project.
3. Collect at least 50 data points and list the results into a chart. This chart can be created using
any word processing program. The chart should include labels for the measure of unit.
4. Organize the data into a frequency distribution with 5-8 classes. You learned how to create a
frequency distribution in Hawkes, but here’s another resource to step you through the process:
https://www.youtube.com/watch?v=vKWStqSbdXE. Use the template below.
Class Limits Tally Frequency Relative Frequency
PART II: Data Tabulation
1. Calculate the mean and standard deviation using your TI-Graphing Calculator.
2. Use your TI-graphing calculator to find the 5-number summary for your data set. Either by
hand or using Excel, create a box plot for your data. If you choose to use Excel, see this link
for a tutorial. https://www.youtube.com/watch?v=DAppchFnbDw
Here’s a reminder of the key components.
An example of what your box plot should look like and how it should be labeled. Make sure to
include a chart title and labels as seen below.
Part III: Data Analysis
1. What type of method did you use to collect your sample? Describe your process in one to two
sentences. As a reminder, these are the types of sampling we covered in Hawkes Section 1.3
You can look in Hawkes Learn Slides 7-12 for further detail on each method.
a. Simple random sample
b. Cluster
c. Systematic
d. Stratified
e. Convenience
2. Using the context of your survey question, restate the standard deviation and describe what it
means. Write 1-2 sentences.
3. Describe your data using the vocabulary we have covered so far in this course. Is your data
uniform, bimodal, skewed left, skewed right, symmetric? Write 1-2 sentences
4. Does your data have any outliers? If yes, what are the outliers and why do you think you have
them? If no, why not? Write two-three sentences.
5. Are you median and mean different or the same and why? Which statistics best represents the
center of your data and why? Write three to four sentences.
Topic SUGGESTIONS
Number of Siblings
Number of Pets
Number of text messages you send in a day
Number of Instagram followers
Number of tweets made per day
Number of Facebook friends
Number of hours playing sports or being physically active per week
Number of fast food meals you eat in a week
How many hours of T.V. you watch per week
How many hours do you spend doing homework each week
Number of pairs of shoes you own
Number of jeans you own
Number of hours spent with friends per week
Number of hours on electronic games per week
Number of books read in a year
Number of songs on your music player (iPod, mp3 player, phone)
Number of pictures on your phone
Number of years you have lived in your current home
Blood Pressure (systolic or diastolic in mmHG)
Number of hours of sleep you get on most weeknights
Height (in inches or cm)
Number of ounces of water drank in a day
Pulse (in beats per minute)
Rubric (30 points)
Criteria Exemplary (5) Proficient (3) Emerging (1) Not Complete (0)
Part I
Data Collection (5)
• Sample size is 50
• Data is quantitative
• Survey question is
appropriate
• Data is listed in a word
processed chart with
labels and unit of
measure
Frequency Distribution (5)
• completed in provided
template,
• class size is accurate
• Class limits are accurate
• Tally and frequency
columns are accurate
• Relative Frequency is
calculated precisely
Part II
Five Number Summary (5)
• Accurately calculated
Box Plot (5)
• Chart Title and Labels
included
• Care taken for neatness
and readability
• Scale is appropriate
Part III
Analysis Questions (10)
2 points each
• Answers are appropriate
length
• Answers are relative to
data and show

The purpose of this assignment is to review and understand basics of statistics by learning key terms.
Review and summarize the key terms of statistics; descriiptive and inferential statistics, scales of measurement, types of variable, population and sample, population parameters and sample statistics.
Define descriiptive and inferential statistics. Focus on the difference between the two types of approach.
Define population and sample. List typical parameters from population and sample statistics.
Refer to Table 1.6 (textbook) and indicate the types of variable and the scale of measurement for each variable.
Refer to Table 1.6 (textbook) and Indicate how you can summarize the information in each variable.
• Textbook Information:
Anderson, David R., Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, and James J. Cochran. Modern Business Statistics with Microsoft® Office Excel® 7th edition, 2020, Cengage
Student Edition: 9780357131381
Loose Leaf: 9780357131398

1. Get the “Audit” Data file (attached).
2. Follow the instructions under “using excel to construct a frequency distribution” in Chapter 2 of textbook.
3. Develop Figure 2.10 and add relative frequency and cumulative frequency. Keep in mind that “count of audit time” is frequency only.
4. Upload the final figure showing classes, frequency (count of audit time), relative frequency, and cumulative frequency.
• Textbook Information:
Anderson, David R., Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, and James J. Cochran. Modern Business Statistics with Microsoft® Office Excel® 7th edition, 2020, Cengage
Student Edition: 9780357131381
Loose Leaf: 9780357131398

The purpose of this assignment is to learn to organize and present statistical data by using frequency distribution. You need to know how to get the number of class, class interval, and class limits. For quantitative data, get frequency distribution, relative frequency, percent frequency, and cumulative frequency.
1. Get the DataFile of CEOTime (attached).
2. Calculate the number of classes by using class width of two hours.
3. Set the lower class limit of the first class to include the lowest amount of time spent I the data set.
4. Tally the frequency in each class.
5. Get relative frequency, percent frequency, and cumulative frequency
6. Comment on the shape of the distribution. Interpret the pattern of how CEOs spend their day in meetings.
7. Upload the final frequency distribution table.
• Textbook Information:
Anderson, David R., Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, and James J. Cochran. Modern Business Statistics with Microsoft® Office Excel® 7th edition, 2020, Cengage
Student Edition: 9780357131381
Loose Leaf: 9780357131398

According to the Central Limit Theorem, if X1 through XN are independent and identically distributed random variables with mean M and variance S, and the random variable X=(X1+…+XN)/N is their average, then (X – M)/(S/sqrt(N)) approaches a Normal(0, 1) distribution as n goes to infinity.
1) Using Excel or MATLAB, generate 100 instances of the variable X=(X1+X2)/2, where each Xi is distributed as Bin(5,0.2) and N=2; then, create a histogram of the 100 resulting values (X-1)/(0.16/sqrt(2)), where M=1 (or n*p for the Bin(n,p) distribution) and S=0.16 (or n*p*(1-p) for the Bin(n,p) distribution).
2) Now, generate 100 instances of the variable X=(X1+…+X20)/20, where each Xi is again distributed as Bin(5,0.2) and N=20; then, create a histogram of the 100 resulting values (X-1)/(0.16/sqrt(20)).
3) Compare your histograms from steps 1 and 2; which one appears to be closer to a Normal(0,1) distribution? What would you expect to happen if you next created a histogram for 100 instances of the average X=(X1+…+X1000)/1000?

I’ve included the instructions along with an example. NOTE: my topic is different from the example.
Here is also a link -that the professor gave us- that can help you with this assignment: http://alexcasteel.com/courses/edco-745/data-screening-assignment/
My topic is: The effect of depression on academic achievement in teenagers