week 9.1 discussion post | StudyDaddy.com


Please write a response to each discussion post.

Don't use plagiarized sources. Get Your Custom Essay on
week 9.1 discussion post | StudyDaddy.com
Just from $13/Page
Order Essay

Brundidge 9.1


Top of Form

In an effort to analyze results and determine if a difference exists among groups of a study, a researcher might use various test to assist in examination of data (Erford, 2014). There are 4 various test used to determine whether there are differences among groups. Each test is used from the same type of equation yet they produce different results about statistical testing. (Erford, 2014)

z-Test are used to pinpoint “…significant difference between means of a sample and means of a population”(Erford, 2014). If I wanted to know the mean number of students receiving financial aid at my organization versus those at other HBCUs, I could use this z-Test to determine if there was a significant difference in our students versus the overall average of other colleges.

t-Test are used to consider whether the is “…a difference between two sample means”(Erford, 2014). This particular type of test can be independent or dependent. Independent t-Test are comparisons of those means that are not necessarily “…connected to the same sample of participants”(Erford, 2014). The dependent t-Test is just the opposite and does compare means from the same sample (Erford, 2014).

ANOVA answers if there is a difference among several means. This type of test is used when “…two or more independent variables are examined across a single dependent variable” (Erford, 2014).

Bottom of Form

Stepanek 9.1


Top of Form

t test- is a statistical test run to determine whether a statistically significant difference exists between two independent sample means.

Example: Measuring the average diameter of shafts from a certain machine when you have a small sample.

Dependent t test- like a t test, a dependent t test also compares two means but in this case the means are compared from the same sample of participants across time, such as with a pretest and post test administered to the same group.

Example- A gym teacher gives you a physical exercise test in the beginning of the year. Throughout the year you work on improving your score. At the end of the year you retest.

z-test- is used to compare a sample mean to a previously known population mean. It identifies whether there is a statistically significant difference between means of the sample and the population.

Example: The teacher wants to compare students in her math class (the sample) to students in other math classes throughout the district (the population). The teacher will administer a standardized test with a given mean and standard deviation. The sample is greater than 30.

ANOVA-  is an analysis of variance is a collection of statistical models used to analyze the differences among group means and their associated procedures.

Example: A researcher wishes to know whether different pacing strategies affect the time to complete a marathon. The researcher randomly assigns a group of volunteers to either a group that (1) starts slow and then increases their speed, (2) starts fast and slows down or (3) runs at a steady pace throughout. The time to complete the marathon is the outcome (dependent) variable.

ANCOVA- is used to nullify the effects of a confounding variable by statistically removing the variability in the dependent variable caused by the confounding variable.

Example: pretest-posttest randomized experimental design, in which pretest scores are statistically controlled. In this case, the dependent variable is the posttest scores, the independent variable is the experimental/comparison group status, and the covariate is the pretest scores.


Source link

Place your order
(550 words)

Approximate price: $22

Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
The price is based on these factors:
Academic level
Number of pages
Basic features
  • Free title page and bibliography
  • Unlimited revisions
  • Plagiarism-free guarantee
  • Money-back guarantee
  • 24/7 support
On-demand options
  • Writer’s samples
  • Part-by-part delivery
  • Overnight delivery
  • Copies of used sources
  • Expert Proofreading
Paper format
  • 275 words per page
  • 12 pt Arial/Times New Roman
  • Double line spacing
  • Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Read more

Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

Read more

Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.

Read more

Privacy policy

Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.

Read more

Fair-cooperation guarantee

By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.

Read more

Order your essay today and save 15% with the discount code BANANA