Asked by Stephanie Schiwietz on Jun 17, 2024

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The 'assumption of normality' refers to ______.

A) the shape of the distribution for a variable
B) people's behavior and personality
C) descriptive statistics
D) the nature of the relationship between samples and populations

Assumption of Normality

The presumption that the data being analyzed is drawn from a normally distributed population, which is a common requirement for many statistical tests.

Distribution Shape

Describes the overall appearance of the data's frequency distribution, including characteristics like symmetry, skewness, and kurtosis.

Descriptive Statistics

Statistics that summarize, describe, and analyze a set of data, providing insights into its central tendency, variability, and distribution.

  • Acquire insight into the ramifications of the normality assumption within statistical experiments and research activities.
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chanel eadesJun 22, 2024
Final Answer :
A
Explanation :
The assumption of normality refers to the shape of the distribution for a variable, specifically that it follows a normal or Gaussian distribution. This assumption is important in many statistical analyses, as certain tests and procedures require normally distributed data.