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Psychology Question T Test Application And Interpretation

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Subject
Psychology
School
University of Phoenix
Type
Homework
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Data Analysis & Application Template
Learner Name
Capella University

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Data Analysis and Application (DAA) Template
The two-sample t-test (also known as the independent samples t-test) is a method used to
test whether the unknown population means of two groups are equal or not. The two-sample t-
test compares the difference in the sample means to the difference that one would expect by
random variation, or chance, alone (Witte & Witte, 2017). The idea is to make a probability
statement about the difference in the actual but unknown means of the samples’ sources. The
inference in this situation is that if the data comes from distributions with the same mean and
variance, then they are indistinguishable and, therefore, may be taken to be equal (Field, 2017).
Review is the categorical variable for this test and has two levels; no (1) and yes (2), while Final
is the continuous dependent variable. The paper’s research question will be; Is the mean
number of correct answers in the final exam for students who attended and those who did
not attend review sessions statistically different at a 95% confidence interval?
Null Hypothesis H
0
: The mean number of correct answers in the final exam for students who
attended and those who did not attend review sessions ARE EQUAL.
Alternate Hypothesis H
a
: The mean number of correct answers in the final exam for students
who attended and those who did not attend review sessions ARE SIGNIFICANTLY NOT
EQUAL.
o Null Hypothesis: 𝐻
𝑜
; 𝜇
𝑛𝑜
= 𝜇
𝑦𝑒𝑠
o Alternate Hypothesis: 𝐻
𝑎
; 𝜇
𝑛𝑜
𝜇
𝑦𝑒𝑠
Testing assumptions
When conducting independent t-tests, two crucial assumptions are made. The first,
covering the dependent variable, assumes that it is approximately normally distributed within
each group. The second assumption is the homogeneity of variance. For this assignment, The
Shapiro-Wilk Test for Normality will be used to measure this assumption of normality on the

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1 Data Analysis & Application Template Learner Name Capella University 2 Data Analysis and Application (DAA) Template The two-sample t-test (also known as the independent samples t-test) is a method used to test whether the unknown population means of two groups are equal or not. The two-sample ttest compares the difference in the sample means to the difference that one would expect by random variation, or chance, alone (Witte & Witte, 2017). The idea is to make a probability statement about the difference in the actual but unknown means of the samples’ sources. The inference in this situation is that if the data comes from distributions with the same mean and variance, then they are indistinguishable and, therefore, may be taken to be equal (Field, 2017). Review is the categorical variable for this test and has two levels; no (1) and yes (2), while Final is the continuous dependent variable. The paper’s research question will be; Is the mean number of correct answers in the final exam for students who attended and those who did not attend review sessions statistically different at a 95% confidence interval? ➢ Null Hypothesis H0: The mean number of correct answers in the final exam for students who attended and those who did not attend review sessions ARE EQUAL. ➢ Alternate Hypothesis Ha: The mean number of correct answers in the final exam for students who attended and those who did not attend review sessions ARE SIGNIFICANTLY NOT EQUAL. o Null Hypothesis: 𝐻? ...
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