Asked by Kaylee Mickelson on Jul 29, 2024
Verified
In a normal distribution, most scores cluster around the
A) range.
B) mean.
C) standard deviation.
D) high and low extremes.
Normal Distribution
A bell-shaped curve that represents the distribution of many types of data where most values cluster around the mean.
Scores
Quantitative measures or figures used to represent someone's ability, achievement, or performance in various tests or competitions.
Mean
The arithmetic average of a set of numbers, calculated by adding them together and dividing by the total number of values.
- Understand the central tendency measurement tools (mean, median, mode) and when to appropriately use them.
- Understand the significance of normal distribution in psychological data and measures of variability (standard deviation).
Verified Answer
ZK
Zybrea KnightAug 04, 2024
Final Answer :
B
Explanation :
In a normal distribution, the majority of scores will fall near the mean (or average) of the data set. This is because the normal distribution is symmetric around the mean, with equal amounts of data falling on either side of the mean. Therefore, option B is the best choice as it describes the central tendency of the data in a normal distribution.
Learning Objectives
- Understand the central tendency measurement tools (mean, median, mode) and when to appropriately use them.
- Understand the significance of normal distribution in psychological data and measures of variability (standard deviation).