Please see attached pictures for instructions Link for Video Tutorial https://

Please see attached pictures for instructions
Link for Video Tutorial
https://

Please see attached pictures for instructions
Link for Video Tutorial
https://cdnapisec.kaltura.com/index.php/extwidget/preview/partner_id/1378472/uiconf_id/43969931/entry_id/1_7evt6oex/embed/dynamic
Link for JASP

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For this project you will submit a memorandum as a Word file. You will complete

For this project you will submit a memorandum as a Word file. You will complete

For this project you will submit a memorandum as a Word file. You will complete your memo using the templates on this page. Your memorandum must be a minimum of 1–2 pages (not including graphs). For more details on how you’ll be graded, refer to the Project One Guidelines and Rubric page in Brightspace.

Use the provided files to compose a mini research paper explaining that there wi

Use the provided files to compose a mini research paper explaining that there wi

Use the provided files to compose a mini research paper explaining that there will be an effect of time of trial on time to complete the maze
• There will be an effect of time of trial on number of errors
There are step by step directions in each file to compose one page of the paper

A person is interested in studying the amount of time (in minutes) people spend

A person is interested in studying the amount of time (in minutes) people spend

A person is interested in studying the amount of time (in minutes) people spend on social media in day. The following data is collected from a sample of 12 people: 45, 60, 25, 55, 75, 90, 100, 120, 105, 80, 0, and 220. Does the data contain an outlier(s)? Explain your reasoning. (Use the empirical rule and use the quartile method to check).

Regression & correlation Use R to run the statistics. Use APA format a. Use

Regression & correlation

Use R to run the statistics.
Use APA format

a. Use

Regression & correlation

Use R to run the statistics.
Use APA format

a. Use the GE dataset

Make a correlation table using the variables stroke, chd, diabetes, BMI, age, gender and smoking. (Note you will need to make dummy variables to do this.)

What factors are associated with the incidence of stroke? Do this with a regression controlling for the different factors.

What factors are associated with the incidence of CHD? Do this with a regression controlling for the different factors. (use logistic regression – logit)

What factors are associated with hypertension?

b. Use the Nursing data

What factors are associated with job satisfaction?

This assignment needs to be completed using SPSS. I will attach the questions fr

This assignment needs to be completed using SPSS. I will attach the questions fr

This assignment needs to be completed using SPSS. I will attach the questions from the textbook. The questions are exercises 11.11, 11.13, 11.26, and 11.27. For question 11.13 use the same data from 11.11 and for question 11.27, use the same data from 11.26.

One goal of statistics is to identify relations among variables. What happens to

One goal of statistics is to identify relations among variables. What happens to

One goal of statistics is to identify relations among variables. What happens to one variable as another variable changes? Does a change in one variable cause a change in another variable? These questions can lead to powerful methods of predicting future values through linear regression.

It is important to note the true meaning and scope of correlation, which is the nature of the relation between two variables. Correlation does not allow us to say that there is any causal link between the two variables. In other words, we cannot say that one variable causes another; however, it is not uncommon to see such use in the news media. An example is shown below. Here we see that, at least visually, there appears to be a relation between the divorce rate in Maine and the per capita consumption of margarine. Does this data imply that all married couples in Maine should immediately stop using margarine to stave off divorce? Common sense tells us that is probably not true.

This is an example of a spurious correlation in which there appears to be a relation between the divorce rate and margarine consumption, but it is not a causal link.

The appearance of such a relation could merely be due to coincidence or perhaps another unseen factor.
What is one instance where you have seen correlation misinterpreted as causation? Please describe.

I will be sending you a paper that my professor has provided feedback on. Your t

I will be sending you a paper that my professor has provided feedback on. Your t

I will be sending you a paper that my professor has provided feedback on. Your task is to address all the issues mentioned in her feedback. I will also share the rubric with you, which outlines what should be included in each paragraph. The paper is related to public health and statistics, so please avoid using complex vocabulary. Keep the writing simple and concise to ensure that it does not sound like it was generated by an AI.

Topic 1: Results from surveys or opinion polls often report a range of values—th

Topic 1:
Results from surveys or opinion polls often report a range of values—th

Topic 1:
Results from surveys or opinion polls often report a range of values—the sample statistic plus or minus a margin of error (the resulting range is called a confidence interval). This tells us that the range is likely to contain the population parameter. How much wiggle room we provide is based on how much confidence we wish to have that the range contains the actual population mean. That confidence level is directly related to the middle “truth” area we will accept versus the dubious tail area we will reject—also known as alpha (α). The more confidence we wish to have—the more middle ground we will need to accept (more wiggle room)—thus a smaller tail area. If we insist on a larger alpha (more dubious tail area), we narrow the middle ground we will accept and thus provide less wiggle room—so the more likely it is that we will miss the true average (and, thus, we have a lower confidence level). A 95% confidence level leaves 5% alpha. A 99% confidence level leaves 1% alpha.
Now, without calculating a mean or margin of error or a confidence level, provide an example from your personal life that describes a measurement that is normal—and how much wiggle room on either side would be appropriate. When would you want a 95% confidence interval, and when would you want a 99% confidence level (a little more wiggle room—so a wider range)?