Why is standardization important when comparing different types of data?
Z-Scores and Percentiles - Crash Course Statistics

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Mathematics, Social Studies
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11th Grade - University
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
It allows for comparison on a common scale.
It changes the data type.
It makes data more colorful.
It increases the data size.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in standardizing test scores?
Converting scores to percentages.
Multiplying scores by a constant.
Adding the mean to each score.
Centering distributions around zero.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is a z-score calculated?
By multiplying the score by the standard deviation.
By adding the mean to the score.
By subtracting the score from the mean.
By dividing the adjusted score by the standard deviation.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a z-score of 1 indicate?
The score is one standard deviation above the mean.
The score is two standard deviations above the mean.
The score is at the mean.
The score is one standard deviation below the mean.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a percentile?
A type of standard deviation.
A percentage of scores below a certain value.
A raw score.
A measure of central tendency.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you determine the score needed to be in the top 5% of a distribution?
By finding the mean of the distribution.
By adding the standard deviation to the mean.
By calculating the z-score for the 95th percentile.
By subtracting the standard deviation from the mean.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does it mean if a score is in the 90th percentile?
The score is higher than 90% of the population.
The score is lower than 90% of the population.
The score is in the top 10% of the population.
The score is exactly at the mean.
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