# Assignment: Apply Statistical Tests

Assignment: Apply Statistical Tests

Assignment: Apply Statistical Tests

As a current or future health care administration leader, how will you decide which statistical test is most appropriate for the goal of monitoring, tracking, or overseeing operations in your health services organization?

Each statistical test is dependent on a given set of research parameters and expectations. As you have examined throughout this course, understanding why and when to use each statistical test is necessary in conducting the tests for process control and comparison. Thus, chi-square tests are useful for table data, ANOVA for a single quantitative dependent variable and categorical independent variables, and ANOM for analysis of mean differences. Regression modeling is useful for determining the influence of independent variables on a quantitative dependent variable.

For this Assignment, review the resources for this week regarding chi-square, ANOVA, ANOM, and regression. Pay particular attention to the examples shown in the textbook.

The Assignment: (4 pages)

Using SPSS and Microsoft Word, complete problems 1 through 10 on pages 367370 in the Ross textbook. Show all work. Submit both your SPSS and Word files for grading.

Book to use

https://ereader.chegg.com/#/books/9781118603642/cfi/362!/4/4@0.00:0.00

Will send login details through the chat.thank you

What is the purpose of a statistical test?

A test statistic is a number that describes how much the relationship between variables in your test differs from the null hypothesis of no association.

The p-value is then calculated (probability value).

If the null hypothesis of no link were true, the p-value estimates how probable it is that you would see the difference specified by the test statistic.

You can infer a statistically significant association between the predictor and outcome variables if the test statistics value is more extreme than the null hypothesiss statistic.

If the test statistics value is less extreme than the null hypothesiss, you can conclude that there is no statistically significant association between the predictor and outcome variables.

When should you use a statistical test?

Statistical tests can be performed on data that has been obtained in a statistically valid manner, such as through an experiment or observations made using probability sampling methods.

Your sample size must be large enough to approximate the true distribution of the population being investigated for a statistical test to be valid.

To figure out the statistical test to use, youll need to know the following:

whether your data is consistent with particular assumptions

the several types of variables youre dealing with

Statistical hypotheses

Statistical tests make a few assumptions about the data theyre looking at:

No autocorrelation (observation independence): The observations/variables you consider in your test are unrelated (for example, multiple measurements of a single test subject are not independent, while measurements of multiple different test subjects are independent).

Homogeneity of variance refers to the fact that the variance within each of the groups being compared is similar across all of them.

The tests usefulness will be limited if one group has significantly greater variation than the others.

Data normality: the data has a normal distribution (a.k.a. a bell curve).

This assumption only applies to numerical data.

If your data do not meet the normality or homogeneity of variance assumptions, you may be able to use a nonparametric statistical test to make comparisons without making any assumptions about the data distribution.

If your data does not meet the assumption of observation independence, you might be able to perform a test that takes into consideration the structure of your data (repeated-measures tests or tests that include blocking variables).

Variables of various types

What type of statistical test you can employ is usually determined by the types of variables you have.

Quantitative variables are measurements of quantities (e.g. the number of trees in a forest).

The following are examples of quantitative variables:

Continuous variables (also known as ratio variables) represent measures that can be divided into smaller units than one (e.g. 0.75 grams).

Discrete variables (also known as integer variables) indicate counts that cant be split into smaller units than one (e.g. 1 tree).

Categorical variables are a type of variable that represents groups of objects (e.g. the different tree species in a forest).

Categorical variables include the following:

Ordinal data is data that is represented in a specific order (e.g. rankings).

Nominal: used to express the names of groups (e.g. brands or species names).

Binary: a yes/no or 1/0 outcome is used to represent data (e.g. win or lose).

Select a test that is appropriate for the types of predictor and result variables you have gathered (if you are doing an experiment, these are the independent and dependent variables).

To see which test best suits your variables, look at the tables below.

## Top Homework Writers is here for any paper writing help you need!

### Plagiarism-free Papers

We guarantee that every piece of work we produce is original. Top Homework Writers has a team of native-speaking experts who are devoted to giving you the best paper writing help. Your work will be 100% original and on time since they always adhere to your instructions, use reputable sources, and quote them appropriately. The referencing styles used by our paper writing help experts are always per university guidelines..

### Stay Anonymous

We are dedicated to delivering the safest online payment experience possible, guaranteed confidentiality. That is why we maintain complete confidentiality regarding our customers' orders. Customers' private information is always protected with the highest care and confidentiality. SSL data encryption ensures that all transactions with us are safe and secure, and we provide a variety of payment choices. You can trust Top Homework Writers to keep your personal information private..

### Wow Customer Support

Our online support chat is available around the clock to answer any queries about the ordering paper writing help procedure. Our customer service team cares about your satisfaction and will answer any questions you may have along the way. Our experts can assist you in any way possible, whether it's assisting you in putting together the essential points that you're struggling to convey, providing advice, or writing an entire essay.

### Top Notch Quality Papers

If you need an essay urgently, or you have been in the “I need help with writing a paper” mode, you can always count on the expertise of our writers to deliver. You can relax knowing that you'll acquire a high-quality paper with our paper writing help services since their arguments are well-defined and presented. We offer help in writing papers that meet or exceed the standards and criteria of colleges and universities. That's why we have a quality assurance team to ensure that our papers help writing services are of the highest quality.

### We can help with urgent tasks

Whether you need help writing papers in a matter of hours or a matter of days, we can meet your deadline. All our college paper writers are full-time writers, which means that they know their way around credible scholarly sources, and they can write a lot of pages in a short time. When you work with Top Homework Writers, you can count on us to meet every deadline. To meet your deadline, we work around the clock, even if that means staying up all night..

### Pay a fair price

Our paper writing help service stands out from the competition because we put the needs of our customers first and charge lower high-quality paper writing help services. With a large array of papers, customers worldwide recognize the perfect combination of price and professionalism that we offer here at tophomeworkwriters.com