Asked by Billie Harrington on Jul 23, 2024
Verified
The assumption of normality is primarily concerned with ______.
A) the difference between two sample means
B) the shape of the distribution of the dependent variable
C) how samples are drawn from populations
D) the difference between a sample mean and a population mean
Assumption of Normality
This refers to the assumption that a dataset is normally distributed, often required in parametric statistical tests.
Dependent Variable
The variable in an experimental study that is expected to change or respond as a result of manipulations of the independent variable.
- Identify the presuppositions associated with the t-test, such as normal distribution and variance homogeneity.
Verified Answer
SS
Sandy SidhuJul 27, 2024
Final Answer :
B
Explanation :
The assumption of normality is an assumption about the shape of the distribution of the dependent variable, which is typically assessed using measures such as skewness and kurtosis. It is important because many statistical analyses, such as t-tests and ANOVA, assume the data are normally distributed. Therefore, violation of the assumption of normality can lead to inaccurate conclusions.
Learning Objectives
- Identify the presuppositions associated with the t-test, such as normal distribution and variance homogeneity.
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