Concepts used in t Test –

Concepts used in t Test –

Question Description

This Discussion explores concepts you will use in a t test.
You have been assigned a topic according to the first letter of your
last name. Please identify the topic assigned to you below. For each
topic, explain what it means and how it applies to the t test.
Your initial response to the Discussion topic should be a minimum of 200
words. You should also provide at least two responses to your
classmates that should be a minimum of 100 words. In your peer replies,
you are encouraged to challenge responses to promote critical thinking
on all sides of a discussion.


Categorical independent variables

Classmate Post #1

variable is not only something that we measure, but also something that
we can manipulate and something we can control for. Categorical
variables are also known as discrete or qualitative variables.
Categorical variables can be further categorized as either nominal,
ordinal or dichotomous. Nominal variables are variables that have two or
more categories, but which do not have an intrinsic order. Dichotomous
variables are nominal variables which have only two categories or
levels. Ordinal variables are variables that have two or more categories
just like nominal variables only the categories can also be ordered or
ranked. Continuous variables are also known as quantitative variables.
Continuous variables can be further categorized as either interval or
ratio variables.


Frost, J. (2017). Choosing the Correct Typ0e of Regression Analysis. Statistics By Jim. Retrieved from

Classmate Post #2

Hello Class and Professor,

What is a t-test? This is an analysis of two populations means using
statistical examination. A t-test with two samples is commonly used with
small sample sizes and is testing the difference between the samples
when the variances of two normal distributions aren’t known. This
population mean is not always known, but is sometimes hypothesized.
Paired sample, also known as a dependent sample, are in which natural or
matched couplings occur. In a circumstance in which each data point in
one sample is matched sometimes to a data point in the second sample.

When this test is performed people are usually trying to find evidence
of a significant difference between population means (2-sample t) or
between the population mean and a hypothesized value (1-sample t). The
t-value measures the size of the difference relative to the variation in
your sample data.



Read Chapter 12: Testing Means

Lane, D. M. (n. d.) Online Statistics Education: A Multimedia Course of Study. Retrieved from:

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