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.

Propose how you will conduct your own six-question survey.

Propose how you will conduct your own six-question survey.. Propose how you will conduct your own six-question survey.. Propose how you will conduct your own six-question survey.Introduction
Note: Do not complete this assessment until you have received faculty feedback on Assessment 1.The survey you are designing will include describing the population of interest and the sampling method you intend to use. In the next assessment, you will use a data survey generator to produce responses to those questions.Demonstration of Proficiency
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies through the following assessment scoring guide criteria.Competency 1: Interpret a data set’s central tendency and variability using descriptive statistical procedures. Estimate potential response values for survey questions.

Competency 2: Evaluate the adequacy of data collection methods. Explain why a specified sampling strategy for a survey is appropriate.
Develop survey questions for a study.

Note: Do not complete this assessment until you have received faculty feedback on Assessment 1.Use the Data Collection Template [DOC] to complete the assessment. Make sure you address each of the three questions in detail and fill in all the required information in the table.This assessment is the second step in the process of developing a survey. In this assessment, you will define your data collection strategy, which includes developing six survey questions. To allow you to focus your time and effort on the actual survey tool and analysis, this course uses a software program to provide the data. Using technology to generate survey data causes hypothetical restrictions in your survey design. As a result, the number and type of questions you write for your survey must follow the Data Collection Template for this assessment.Note: After you submit your survey questions, faculty will provide feedback on them. When you receive feedback, you can proceed with data collection using the Survey Data Generator in Assessment 3.Directions
Develop six questions for your survey. Keep in mind that you will not be conducting the survey by mailing or e-mailing questionnaires. Your survey responses will be determined by an electronic survey generator, which accepts only certain types of questions; therefore, the types of questions you can ask for this assessment are very specific and must adhere to the guidelines listed below. In the future, as you design surveys to solve problems or answer key questions in your professional life, you will likely draw from a broader range of question types.Guidelines for the QuestionsAll six survey questions should be stated in question form. They should be written like they are being asked directly to a survey participant. For example, you would ask “How many cats do you own?” rather than stating “The number of cats owned.”
The first four questions (1–4) must be binary—that is, they have only two possible responses. Examples of this are yes/no, true/false, and male/female (to name a few).
The last two questions (5 and 6) must be quantitative. These questions have to elicit a single numeric response. Survey participants can respond with only one number.
There are certain types of questions that are not within the parameters of the project. The following types of questions cannot be asked:Do not ask questions where survey participants have to explain something. This includes short answer and fill-in-the-blank questions.
Do not use a Likert scale, in which a participant would choose from responses such as strongly agree, agree, neutral, disagree, and strongly disagree.
Avoid questions where a participant chooses a number on a scale, such as 1 to 10 or 1 to 5.
Do not ask any questions that are contingent on another question. Each question must have a stand-alone response.
Do not ask questions that have already been answered by how you have defined your population. For example, if your population includes only males, do not ask “Are you male or female?”

Guidelines for the Minimum and the Maximum of the QuestionsThe minimum is the lowest number that you think a participant can or will respond with. The maximum value is the largest value that you think a participant can or will respond with. To determine these values, make an educated estimate based on your population and the research you have conducted on the issue. For example, if we are surveying Capella learners, we might ask “What is your age?” In this situation, a minimum age might be 16, and a maximum age might be 85. Note that it is possible to be outside these ranges. The minimum and the maximum are approximations, or likely ranges, of what you expect.Your binary questions will not have a minimum or a maximum.
You will need to set a minimum and a maximum for each of the quantitative questions.
The minimum and the maximum are each one single number.
Guidelines for the Expected Values for Typical Responses to the QuestionsThe typical responses will help the program that generates your hypothetical data produce more realistic participant responses based on your knowledge of the issue you are studying. The typical response will fall between the minimum and the maximum. It is the value you think will be the most common response from a survey participant. Base the typical response on your knowledge of what you are surveying and the research you have conducted on the issue.You will not need to fill in a typical response for questions 1 through 4.
The typical responses for the quantitative questions should be what you think the mean (average) of all the responses will be.
The typical response is one single number.
Defining Your Data Collection StrategyReminder: Use the Data Collection Template [DOC] to define your strategy.
Include the following items in your strategy: Your target population for the survey.
Your sampling strategy and how you would attempt to conduct your survey. Be sure to include some rationale for your strategy and any potential issues that might affect your survey results.
Your six survey questions following the guidelines presented above. Be sure to document the expected value along with a reasonable minimum value and maximum value in the table, as you will use these pre-survey values in later project components.

In Table 1 of the Data Collection Template, fill in every box that says “you fill in” and then remove that message once you have done this. Your final product should have a response in every box; there should be no empty boxes in the table.

Propose how you will conduct your own six-question survey.

Propose how you will conduct your own six-question survey.

Statistics Question

Statistics Question. Statistics Question. 2) A patient fills a prescription for a 10-day regimen of 2 pills daily. Unknown to the pharmacist and the patient, the 20 tablets consist of 18 pills of the prescribed medication and 2 pills that are the generic equivalent of the prescribed medication. The patient selects two pills at random for the first day’s dosage. If we check the selection and record the number of pills that are generic, is this a binomial experiment?
6) Suppose the average daily yield Ď of a chemical is to be estimated, and the needed margin of error is to be less than 4 tons. This means that approximately 95% of the time in repeated sampling the distance between the sample mean and the population mean Ď will be less than 1.96 SE, and that this quantity has to be less than 4. Given that a prior study of the chemical process produced a sample standard deviation of21 tons, at least how large does the size of a sample have to be, so that one could be reasonably certain (with probability approximately equal to 0.95) that the estimate of the average yield will be within 4 tons of the actual average yield ?
7) Two independent experiments are run in which two different types of paint are compared. Eighteen specimens are painted using type A, and the drying time, in hours, is recorded for each. The same is done with type B. The population standard deviations are both known to be 1.0. Assuming that the mean dryingtime is equal for the two types of paint, find ĊĀċčĈĐċčĉćĄĂăā, where ċčĈ and ċčĉ are average drying times for samples of size Ē đ ĆĒ ďĆĄą. Assume that both experiments are normally distributed.
8) A study wishes to show that the average hourly wage of carpenters in the state of California is differentfrom $14, which is the national average. Suppose that a random sample of 100 California carpenters produces a sample mean of $15 with standard deviation $2. At a confidence level of 95%, is this study able to conclude that the average hourly wage of carpenters in the state of California is indeed different from the national average ?

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Statistics Question

Statistics Question

Fixing The Data

Fixing The Data. Fixing The Data. I have done this research data. It is about 60% done. But I do need help on adding and fixing
These below were comments, that what need to be fixed and to getter better data

I need help on fixing:
Abstract: The abstract should summarize each part of the paper. This abstract does not clearly state the hypothesis. Additionally, the results should be framed by their relevance to the study and the hypothesis. Also, a brief summary of the paper’s conclusion should be included.
Introduction: First, the introduction does not meet the 5 paragraph minimum (each paragraph 4 to 6 sentences only) see the criteria . The stated hypothesis is not an actual hypothesis as it does not make any sort of prediction. Additionally, when stating results from the survey include the relevant data (n=?, % of participants, etc.). The reason given for using descriptive statistics over inferential statistics seems irrelevant. Finally, the introduction does not identify gaps in the research or clearly explain why this study was conducted
Methods –
-Section A. Participants: This section states that ethical procedures were followed, but does not provide a reference to the ethical guidelines. Additionally, the writer states that 200 participants are required but does not provide a reason why such a large sample is necessary for this study. Generally, this is a confusing paragraph.
-Section B. Materials: The writer includes examples of measures, but should include the relevant data.
-Section C. Procedure: The writer claims that this is a correlation study and that data is assessed using the Pearson Coefficient, however, this is a descriptive study.
4. Results: The results section is just raw data copied and pasted from the survey results. This is incredibly difficult to understand as a reader. The writer should write out the results, including only the relevant questions and data (median and range are not needed), in sections appropriate for their hypothesis (see the example ‘A’ papers). Additionally, the results section should include a brief description of the software used for analysis (SPSS) and the method of data analysis (descriptive).
5.Discussion: The first half of the discussion section restates the same point several times and is confusing to read. Also, the discussion section fails to meet the 4 paragraph minimum. While limitations are briefly discussed; limitations require an individual section. I would recommend a section dedicated to discussing how the results are linked to your hypothesis and a section to discuss future research. Also, the writer states in the introduction that this study required 200 participants (which this study did not meet) but contradictorily states that this study had too many participants in the discussion. Furthermore, the justification is that 172 participants were too many to analyze, but no reason is given as to why this was a limitation. The discussion section should include an overall conclusion to the paper including why this work was meaningful. Finally, there are no in-text citations in the discussions section.
6.The reference list does not meet the minimum requirement of 6 and is not formatted in accordance with APA guidelines. Need to add one more
Also, to make it easier here is the criteria as a better view:
Criteria:
-Title page: Title page is APA style
-Abstract: 200-250 word abstract in APA style summarizing each section of the paper.
– Introduction:
There are at least 5 paragraphs
Hypotheses are clearly stated
All changes have been incorporated
Introduction clearly explains why the research is being conducted- including identifying gaps in the research
Introduction is formatted in APA style, include in-text citations
-Methods:
There are at least 3 sub-sections.
Written in APA style
Examples of measures are included when necessary
Suggested changes have been incorporated
-Results:
Descriptive statistics for demographic variables and variables of interest are provided.
Results are reported in APA style
-Discussion:
There are at least 4 paragraphs, including a required “limitations” section
Formatted in APA style, including in-text citations
-References:
Reference page is formatted in APA style. You have AT LEAST 6 different references that you also cited in the body of your paper.
I attached the “research of social media” this file need to fixed. Also, a file for the result but need a question along with hypothesis.

Fixing The Data

Fixing The Data

Fixing The Data

Fixing The Data. Fixing The Data. I have done this research data. It is about 60% done. But I do need help on adding and fixing
These below were comments, that what need to be fixed and to getter better data

I need help on fixing:
Abstract: The abstract should summarize each part of the paper. This abstract does not clearly state the hypothesis. Additionally, the results should be framed by their relevance to the study and the hypothesis. Also, a brief summary of the paper’s conclusion should be included.
Introduction: First, the introduction does not meet the 5 paragraph minimum (each paragraph 4 to 6 sentences only) see the criteria . The stated hypothesis is not an actual hypothesis as it does not make any sort of prediction. Additionally, when stating results from the survey include the relevant data (n=?, % of participants, etc.). The reason given for using descriptive statistics over inferential statistics seems irrelevant. Finally, the introduction does not identify gaps in the research or clearly explain why this study was conducted
Methods –
-Section A. Participants: This section states that ethical procedures were followed, but does not provide a reference to the ethical guidelines. Additionally, the writer states that 200 participants are required but does not provide a reason why such a large sample is necessary for this study. Generally, this is a confusing paragraph.
-Section B. Materials: The writer includes examples of measures, but should include the relevant data.
-Section C. Procedure: The writer claims that this is a correlation study and that data is assessed using the Pearson Coefficient, however, this is a descriptive study.
4. Results: The results section is just raw data copied and pasted from the survey results. This is incredibly difficult to understand as a reader. The writer should write out the results, including only the relevant questions and data (median and range are not needed), in sections appropriate for their hypothesis (see the example ‘A’ papers). Additionally, the results section should include a brief description of the software used for analysis (SPSS) and the method of data analysis (descriptive).
5.Discussion: The first half of the discussion section restates the same point several times and is confusing to read. Also, the discussion section fails to meet the 4 paragraph minimum. While limitations are briefly discussed; limitations require an individual section. I would recommend a section dedicated to discussing how the results are linked to your hypothesis and a section to discuss future research. Also, the writer states in the introduction that this study required 200 participants (which this study did not meet) but contradictorily states that this study had too many participants in the discussion. Furthermore, the justification is that 172 participants were too many to analyze, but no reason is given as to why this was a limitation. The discussion section should include an overall conclusion to the paper including why this work was meaningful. Finally, there are no in-text citations in the discussions section.
6.The reference list does not meet the minimum requirement of 6 and is not formatted in accordance with APA guidelines. Need to add one more
Also, to make it easier here is the criteria as a better view:
Criteria:
-Title page: Title page is APA style
-Abstract: 200-250 word abstract in APA style summarizing each section of the paper.
– Introduction:
There are at least 5 paragraphs
Hypotheses are clearly stated
All changes have been incorporated
Introduction clearly explains why the research is being conducted- including identifying gaps in the research
Introduction is formatted in APA style, include in-text citations
-Methods:
There are at least 3 sub-sections.
Written in APA style
Examples of measures are included when necessary
Suggested changes have been incorporated
-Results:
Descriptive statistics for demographic variables and variables of interest are provided.
Results are reported in APA style
-Discussion:
There are at least 4 paragraphs, including a required “limitations” section
Formatted in APA style, including in-text citations
-References:
Reference page is formatted in APA style. You have AT LEAST 6 different references that you also cited in the body of your paper.
I attached the “research of social media” this file need to fixed. Also, a file for the result but need a question along with hypothesis.

Fixing The Data

Fixing The Data

Statistics Question

Statistics Question. Statistics Question. Learning Goal: I’m working on a statistics test / quiz prep and need an explanation and answer to help me learn.
Part II
Show all work to be eligible for full credit. You know what the work looks like because we have done these types of problems in our guided notes. Show all steps like we do in our guided notes.You will either print this out and hand write your answers or type up all answers in this handout and submit in MSL in pdf format.

Statistics Question

Statistics 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. 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

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

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. 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

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