This will be a written assignment for my doctoral quantitative analysis class regarding linear regression. Using the attached data

This will be a written assignment for my doctoral quantitative analysis class regarding linear regression.

Using the attached data (“Car Weight and MPG.sav”), compute and interpret the relationship between:
* Car Weight (“Weight”) and miles per gallon consumed (“CityMPG”)
* Sample = cars in the dataset. Population = all cars on the road in Illinois in 2020.

Instructions:

For this regression analysis, state the following:
* A clear research question appropriate for a linear regression: (e.g., Among population A, is X a significant predictor of Y?”)
* Null and research hypotheses that align clearly and neatly with your RQ.
* Descriiption of the variables used.
* Your dependent and independent variables. (Clearly explain your rationale as to why which is which.)
* State the sample size, along with the mean, standard deviation, and range (min

This will be a written assignment for my doctoral quantitative analysis class regarding T-Tests. Using the attached data (i.e.,

This will be a written assignment for my doctoral quantitative analysis class regarding T-Tests.

Using the attached data (i.e., “job satisfaction” and “survey”), perform one analysis (Part A) using a dependent (or paired) samples t-test and the other (Part B) using the independent samples t-test. Determine appropriate test for each relationship, and then proceed with your analyses. (To be clear, you are required to perform TWO t-tests in this assignment.)

Part A
Teachers at ACE Charter School were given a 20% raise in their salary in August of 2015. Of all the teachers at ACE, 30 of them were asked to participate in a study to assess the effect of the pay raise on their overall job satisfaction. How was their job satisfaction (“0” = very unsatisfied to “50” = very satisfied) affected as a result? (Note: You can make causal inferences in this analysis.) (Sample = 30 ACE teachers in the study. Population = all ACE teachers.)
* What is the research question? (Use “difference” or “effect” language as we are no longer talking about “relationship” among variables but differences between groups or an effect of X on a particular population.)
* What is the null hypothesis?
* What is the research hypothesis? (Directional)
* Basic descriiptive analysis appropriate for the variables used (e.g., mean, median, range, SD, etc.) in a paragraph form. (Don’t just include a number of SPSS tables and not talk about it.)
* State the rationale for applying either independent or dependent t-test in this investigation using appropriate readings and resources in Module 6. (Please cite specific references.)
* Write out the results in an APA format. (Use the appropriate example below as your template.)
* Please include appropriate tables from the SPSS output used in your analyses.

Part B
Using a sample of 575 participants from River Forest, IL, compare the average years of education (variable name = “educ”) between men and women in this city. (Note: Avoid causal inferences here, and just talk about the differences between men and women in the analysis.) (Population = all adults in River Forest, IL.)
* What is the research question? (Use “difference” language as we are no longer talking about “relationship” among variables but differences between groups.)
* What is the null hypothesis?
* What is the research hypothesis? (Non-Directional)
* Basic descriiptive analysis appropriate for the variables used (e.g., mean, median, range, SD, etc.) in a paragraph form along with the SPSS output showing the descriiptive results. Be sure to analyze the years of education by men and women separately. An aggregate analysis of years of education would not be of much use here.
* State the rationale for applying either independent or dependent t-test for in this investigation using appropriate readings and resources in Module 6. (Please cite specific references.)
* Write out the results in an APA format. (Use the appropriate example below as your template.)
* Please include appropriate tables from the SPSS output used in your analyses.
An Example of a Paired-Samples t-Test Result Write Up
“Using a sample of 100 participants, a paired-sample t-test was conducted to compare the number of words recalled (from 0 to 15) in ginkgo and placebo conditions. There was a significant difference in the number of words recalled for ginkgo (M = 6.23, SD = 3.91) and placebo (M = 4.35, SD = 3.45) conditions; t(99) = 4.12, p < .001. These results suggest that consumption of ginkgo is related to a significant or meaningful increase in one’s memory, by about two points. The size of the effect (using Cohen's d) is medium at .51.”
An Example of an Independent Samples t-Test Result Write Up
“Using a sample of 200 participants, an independent samples t-test was conducted to compare the number of words recalled (from 0 to 15) in ginkgo (n = 100) and placebo (n = 100) groups. There was a significant difference in the number of words recalled for ginkgo (M = 7.95, SD = 3.91) and placebo (M = 5.85, SD = 3.60) groups; t(198) = 1.99, p = .03. These results suggest that ginkgo group had greater word recall than their placebo counterparts, by about two words. The size of the effect (using Cohen’s d) is medium at .56.”

I have attached the SPSS output and relevant material for each part, as well as recommended resources to elaborate on the assignment expectations. Make sure to provide substantial evidence from scholarly resources and refrain from making generalized statements. Textbooks, blogs, magazine or internet articles, book chapters, or special reports, do not count toward scholarly resources.

The powerpoint slides provided come from the class textbook, which should be the primary source used to support your statements (Salkind, N.J.

1. A patient is classified as having gestational diabetes if their glucose level is above 140 milligrams per deciliter

1. A patient is classified as having gestational diabetes if their glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca’s doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca’s measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with μ= 140 X mg/dl and σ = X 1 mg/dl, where X is the last digit of your GCU student ID number. What is the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured:

a. Once?
b. X 1 times, where X is the last digit of your student ID?
c. X 4 times, where X is the last digit of your student ID?

Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture, why this occurs and what it means in context.

2. Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 9X percent reliable, gestational diabetes affects X 1 percent of the population in our patient’s age group, and that our test has a false positive rate of X 4 percent. Compute the following quantities based on this new information:

a. If 100,000 people take the blood test, how many people that test positive will actually have gestational diabetes?
b. What is the probability of having the disease given that you test positive?
c. If 100,000 people take the blood test, how many people that test negative despite actually having gestational diabetes?
d. What is the probability of having the disease given that you tested negative?

Comment on what you observe in the above computations. How does the prevalence of the disease affect whether the test can be trusted?

3. As we have seen in class, hypothesis testing and confidence intervals are the most common inferential tools used in statistics. Imagine that you have been tasked with designing an experiment to determine reliably if a patient should be diagnosed with diabetes based on their blood test results. Create a short outline of your experiment, including all of the following:

a. A detailed discussion of your experimental design.
b. How is randomization used in your sampling or assignment strategy?
c. The type of inferential test utilized in your experiment.
d. A formal statement of the null and alternative hypothesis for your test.
e. A confidence interval for estimating the parameter in your test.
f. An interpretation of your p-value and confidence interval, including what they mean in context of your experimental design.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

APA style is not required, but solid academic writing is expected.

Statistics Question

Use groupwork11.dta – Describe the coefficient in each question . Please complete in Stata, and send the log file and do file. The explanations must be written on the do file with a * for a simple explanation. The explanations dont need to be long, but make sure they do make sense.
1. Estimate the relationship between attendance (home_attend, dependent variable)
at baseball games and the number of times the team lost (losses, the
independent variable).
2. Square the number of losses and include in the model as well.
2a) What is the relationship between attendance and losses evaluated at 80 losses?
2b) What about evaluated at 20 losses?
3. From here on do not use the squared losses variable
4. Estimate the log-linear model and interpret the coefficient
5. Estimate the linear-log model and interpret the coefficient
6. Estimate the log-log model and interpret the coefficient•
7• Estimate an unrestricted model of the impact of runs scored, runs allowed, and
losses on home attendance.
8. Estimate a restricted model that only includes losses
9Does the inclusion of runs scored and runs allowed significantly improve the fit of the model? Use an F-Test to answer this question

BUSAD265 Article Review #2 Assignment For this assignment, select an article from the following list. Read the article and

BUSAD265 Article Review #2 Assignment
For this assignment, select an article from the following list. Read the article and write a 1- 2 page review that includes the following 3 sections:
Summary: (1/2 page) Briefly summarize the article. Be careful, comprehensive, and concise in your summary.
Critique: (1 page) Discuss the pro/cons of the article’s main points. Do you agree or disagree with the author—- and more importantly, why do you agree or disagree? This section of your report is the most difficult to write. The important material for this section is how you justify your position. Specifically address whether or not the author is using statistics in an appropriate manner, or if they are using them to make a point that the stats cannot justify!
Tie-in: (1/2 page) Where and how do the points discussed in the article tie-in or relate to the ideas and concepts discussed in class? You may additionally tie-in the article to your career plans. Carefully consider the tie-in connection when you are selecting your article.
Write the article review using the template in Blackboard – it’s there to help you!
50 points.
Use the following to review:
Gallup: Worries About Personal Data Top Facebook’s Users’ Concerns
http://news.gallup.com/poll/232343/worries-personal-data-top-facebook-users-concerns.aspx

For this assignment, select an article from the following list. Read the article and write a 1- 2 page

For this assignment, select an article from the following list. Read the article and write a 1- 2 page review that includes the following 3 sections:
Summary: (1/2 page) Briefly summarize the article. Be careful, comprehensive, and concise in your summary.
Critique: (1 page) Discuss the pro/cons of the article’s main points. Do you agree or disagree with the author—- and more importantly, why do you agree or disagree? This section of your report is the most difficult to write. The important material for this section is how you justify your position. Specifically address whether or not the author is using statistics in an appropriate manner, or if they are using them to make a point that the stats cannot justify!
Tie-in: (1/2 page) Where and how do the points discussed in the article tie-in or relate to the ideas and concepts discussed in class? You may additionally tie-in the article to your career plans. Carefully consider the tie-in connection when you are selecting your article.
Write the article review using the template in Blackboard – it’s there to help you!
100 points.
Choose ONE of the following to review:
New York Times: Wage Inequality is Falling
https://www.nytimes.com/2018/03/01/opinion/wages-low-paid-workers.html
Bloomberg: US CEO’s Earn 140 Times More Than the Typical Worker
https://www.bloomberg.com/news/articles/2018-02-01/ceos-in-u-s-seen-earning-140-times-more-than-the-typical-worker
The Wall Street Journal: Single-Payer Heathcare Isn’t Worth the Wait
https://www.wsj.com/articles/single-payer-health-care-isnt-worth-waiting-for-1516566456
Washington Post: How Striking West Virginia Teacher’s Salaries Compare
https://www.washingtonpost.com/news/politics/wp/2018/03/02/how-striking-west-virginia-teachers-salaries-compare-to-teachers-in-other-states/?utm_term=.20495c44871d
New York Times: America’s Real Digital Divide
https://www.nytimes.com/2018/02/11/opinion/america-digital-divide.html
Forbes: Crypto-currencies Slammed as Speculative Mania
https://www.forbes.com/sites/rogeraitken/2018/03/02/cryptocurrencies-slammed-as-speculative-mania-by-central-banker-carney-cites-high-bitcoin-fees/#73d318af4404

This is a quantitative study, see the attachment. Please respond to all comments on the right side of the Essay

This is a quantitative study, see the attachment. Please respond to all comments on the right side of the paper. It is unknown to what extent nurses’ age and years of practice predict their spiritual care. Please answer all of the questions in the attachment. This is a ordinal logistic regression analysis and please add detail information about this analysis along with what assumptions are needed to be met and as to meet these assumptions. Feel free to change anything else that you see needs to be corrected. Please see the sections on data analysis procedures and Research Questions and Hypotheses were they clearly state a detail write on ordinal logistic regression analysis is needed along with its assumptions. Please identify predictor and criterion variables; the nature of the variables. Please respond to ALL comments and highlight what you add to the attachment.

Repeated Measures Essay

Create an example of a research design that would call for a repeated measures ANOVA. Be sure to describe the research question, the independent variable(s), the levels of the independent variable(s), and the dependent variables. In your discussion, mention ways that the research question could have been answered using a between-subjects design.

Big data is everywhere, and various businesses around the world are driven by big data. While some businesses rely

Big data is everywhere, and various businesses around the world are driven by big data. While some businesses rely on big data for organizational decision making, this does not mean that the implications and applications of big data are properly used to ensure optimal effectiveness for the organization

For this scenario, you have been appointed as a business analyst for Big D Incorporated, charged with providing authoritative recommendations to the Board of Directors. As the business analyst, the recommendations that you provide will be based upon data calculated from statistically appropriate formulas. Be reminded that you are not the company’s statistician yet. However, as the business analyst, you are therefore responsible for interpreting statistical data and making the appropriate recommendations.

Big D Incorporated was offered a series of business opportunities, and it is your job as the business analyst to provide expert insight and justification for recommendations regarding these potential prospects.

Big D Incorporated needs to prepare an assessment regarding the feasibility of making a recommendation for expansion into another market. The new market is in Chicago with the 60614 zip code.

You have just received your next assignment that will contribute to your next decision. For the outdoor sporting goods client, based upon your prior decision on whether or not to expand to the next market or retain your current position ( I choose to expand to the new market in the Chicago withe the 60614 zip code), justify your decision further utilizing the chi-square distribution tool. One key criterion point: You do not have adequate data to formulate a full chi-square for the outdoor sporting goods client. However, you have sufficient data to initiate this process. You are charged to demonstrate the initial steps of a nonparametric test that are qualitative. Utilizing the null and alternative hypotheses, further present your justifications for your selection and what it means beyond the mere formulas. What is this going to tell the Board of Directors and contribute to the decision-making process?

The following are assumptions that might make the assignment more helpful and make the responses more uniform:

Continue to utilize the Big D scenario. Work under the assumption that the sample is based upon 2 different proposed product lines.
Additionally, work under the assumption that the same demographics are utilized for each product.

The powerpoint attached will help support why I choose to expand in Chicago.

Estimating Models Using Dummy Variables

Practice how to recode categorical variables so they can be used in a regression model and how to properly interpret the coefficients. Create a research question using the General Social Survey dataset that can be answered by multiple regression. Using the SPSS software, choose a categorical variable to dummy code as one of your predictor variables.

Estimate a multiple regression model that answers your research question. Post your response to the following:

What is your research question?

Interpret the coefficients for the model, specifically commenting on the dummy variable.
Run diagnostics for the regression model. Does the model meet all of the assumptions?
Be sure and comment on what assumptions were not met and the possible implications. Is there any possible remedy for one the assumption violations?

spss program

Please use the ‘Santa Fe’ file to develop an index for the risk seeking of customers.
First, write down in a Word document your own list of indicator variables from the questionnaire that might be correlated with the latent variable “Risk-Seeking”. Then follow the procedure as discussed (reverse score variables if necessary, standardize them, and sum them up). Call the resulting variable “IndexRisk”, and send me a Word document that includes the list of indicator variables, plus the the mean, standard deviation, skewness and kurtosis of the latent variable “Indexrisk”, plus a chart of the distribution of “Indexrisk”.Please use the ‘Santa Fe’ file to develop an index for the risk seeking of customers.Please use the ‘Santa Fe’ file and sum up the variables V14/15/18 from the Santa Fe Database as a principal component “PrincComp”. Send me a Word document that includes the mean, standard deviation, skewness and kurtosis of the latent variable “PrincComp”, plus a chart of the distribution of “PrincComp”. Also note some thoughts on the following question: What could the latent variable be about that is summarized by it?

Data Analytics – I did analysis part and I need help to review and correct the mistake (only minor work, 2-3 hrs)

The documents have 24 pages and I need help to check the following and add adjustment:
– Grammar and the way of writing the analysis and make adjustment as needed.
– the description part which have the inputs from participants: I need to check the description that I wrote it and add more adjustment and rewrite if it requires
– I use SPSS to test the hypotheses and I need to check if my interpretation is correct
– use APA style and add more reference if it requires and in text citation.
– please note that I highlight what exactly I need in the documents. I will share the document if some one accept to help me.
[there isn’t much work, just minor revision. All the analysis is done, so just some minor adjustments.]

Module 5: Discussion Board 2 – The Relationship Between Margin of Error, Sample Size and Confidence Interval

Purpose:

The purpose of this assignment is to reflect on your understanding of topics you have learned so far about the margin of error and the Confidence Interval and then explaining it to someone else.

Directions:

Discuss the following and give real life examples.

Why do we have a Margin of Error in Statistics? If statistics are meant to be accurate, why are they sometimes accompanied by an estimate of doubt?

What is the relationship between Margin of Error, Confidence interval and Sample Size.

You must use complete sentences and correct grammar/spelling.

Complete assignment as directed in document.  Save your electronic copy as RTF (Rich Text Format) or PDF so that everyone will be able to open the document.

Post/upload/attach your document in Discussion Board 2discussion forum in Discussion Board by the due date listed on the Calendar.

You will have to submit your discussion first, before you can reply to your classmates.

Reply to at least two classmates and give feedback to their solutions by the due date listed on the Calendar. You must choose to respond to at least one application that you did not submit.  The other response can be to the same application you submitted or one you did not submit. Remember feedback must be substantive and more than just “Good job” or “I agree!”

Grading 

This assignment is required and worth up to 20 points:

12 points for original posting 

8 points for responding to classmates.

Statistics Question

programme ALS alhorithm for numerical scaling regression and test a dataset, without including all possible optimal scaling levels(numerical scaling level is used for outcome variable)-should work on any dataset- scaling levels are indicated per predictor variable- the algorithm updates beta and vector j for each predictor j seperately.- the fucntion should give iteration number, current loss, decrease in loss etc see document ‘n’.I can provide lectures and solutions of other homework assignment that cal help

• Summarize the background of the Philippines, including what makes it unique and why it is a viable option

• Summarize the background of the Philippines, including what makes it unique and why it is a viable option for Walmart expansion.
• Assess the data sets and include any charts or graphs used in your evaluation.
• Summarize the background of the Philippines, including what makes it unique and why it is a viable option for Walmart expansion.
• Assess the data sets and include any charts or graphs used in your evaluation.
o Measure outlook sales, interest, and other trends to make a determination on the regional outlook. Is the outlook improving, remaining stable, or deteriorating? For example, how will this expansion affect sales trends, interest cost trends, etc.?
o Calculate whether Walmart will have favorable or unfavorable currency translation adjustments. For example, how strong is the country’s currency against the U.S. dollar?
o Create revenue projections and sales projections based on the data. Consider the currently translation adjustments in your projection.
o Propose a recommended course of action based on your interpretation of the data.

The body weight of a healthy 3-month-old colt should be about ???? = 64 kg. (a) If you want to

The body weight of a healthy 3-month-old colt should be about ???? = 64 kg.

(a) If you want to set up a statistical test to challenge the claim that ???? = 64 kg, what would you use for the null hypothesis H0?

 (b) In Nevada, there are many herds of wild horses. Suppose you want to test the claim that the average weight of a wild Nevada colt (3 months old) is less than 64 kg. What would you use for the alternate hypothesis H1?

 (c) Suppose you want to test the claim that the average weight of such a wild colt is greater than 64 kg. What would you use for the alternate hypothesis? 

 (d) Suppose you want to test the claim that the average weight of such a wild colt is different from 64 kg. What would you use for the alternate hypothesis? 

 (e) For each of the tests in parts (b), (c), and (d), respectively, would the area corresponding to the P-value be on the left, on the right, or on both sides of the mean? 

week6 discussion

When computing a t-test, it is important to distinguish between directional and nondirectional hypotheses as the direction will determine the rejection regions. Describe how the rejection regions would differ according to the type of hypothesis you would use.

An insurance company asks you to determine whether older drivers are safer than younger ones. Provide a directional hypothesis related to this study. Then, explain how you would need to change the hypothesis so that it would be nondirectional. What happens to the rejection regions and why? Which of the two hypotheses do you think is more appropriate and why?

Justify your answers with appropriate reasoning and research from your textbook and course readings. Start reviewing and responding to at least two of your classmates as early in the week as possible. You can ask technical questions or respond generally to the overall experience. Be honest, clear, and concise. Always use constructive language, even in criticism, to work toward the goal of positive progress. Using questions and seeking clarifications are good ways to make your reviews substantive!

Body Weight

The body weight of a healthy 3-month-old colt should be about 𝜇 = 64 kg.
(a) If you want to set up a statistical test to challenge the claim that 𝜇 = 64 kg, what would you use for the null hypothesis H0?
(b) In Nevada, there are many herds of wild horses. Suppose you want to test the claim that the average weight of a wild Nevada colt (3 months old) is less than 64 kg. What would you use for the alternate hypothesis H1?
(c) Suppose you want to test the claim that the average weight of such a wild colt is greater than 64 kg. What would you use for the alternate hypothesis?
(d) Suppose you want to test the claim that the average weight of such a wild colt is different from 64 kg. What would you use for the alternate hypothesis?
(e) For each of the tests in parts (b), (c), and (d), respectively, would the area corresponding to the P-value be on the left, on the right, or on both sides of the mean?

Stats sheet

More JASP excitement
T-Test (pick a continuous variable and a dichotomous variable — your dichotomous variable will be SEX unless you are adventurous and create your own dichotomous variable in JASP)T-tests > Independent Samples T-test
Copy and paste the T-test table that you produce
Produce a descriptives box and copy/paste
Interpret the means of the two groups being compared,
Interpret the p value (statistical significance)
Talk through whether there is practical significance to the results

ANOVA (pick a continuous variable and a categorical variable)ANOVA > ANOVA
Copy and paste the table you produce and interpret the p value (statistical significance)
Produce and paste a descriptives box
Talk through the means for different groups in the categorical variable
Interpret the p value (statistical significance)
Interpret whether you think there is practical significance to the results

Linear Regression (pick two continuous variables)Regression > Correlation
Copy and paste the “Pearson’s Correlations table”
Interpret the p value (statistical significance)
Produce a scatter plot and describe how steep the line is. Also describe how the observations look in relation to the line.
Regression > Linear Regression
Copy and paste the Model summary table and interpret the Adjusted R-square value for H1 (how accurate will our predictions of the DV be?)
Copy and paste the Coefficients table and manually produce the regression formula in your Word document (y = a bx) using the numbers and variable names on the table.
Produce two predicted dependent variable values based on two hypothetical values you make up for the independent variable. Be sure to write out in a sentence or in a formula using the variable names and units of measure.

*First download the data set from Canvas. Do NOT click on the file. Second, open JASP. Click on the menu button (blue lines) > Open > Computer > Browse > Downloads > the file the downloaded…
use this link https://we.tl/t-1HkfvJZ2Rh

Use the existing points and gaussian process to obtain the mean curve and 2*std boundaries, and predict the missing

Use the existing points and gaussian process to obtain the mean curve and 2*std boundaries, and predict the missing points like when x=4 and x=5. You can use standard simple methods in Gaussian Process. Show all the process. Show all the content like mean curve, 2*std boundaries, covariant functions etc.