Sampling Distributions Assessment

Flashcard
•
Mathematics
•
11th Grade - University
•
Hard
+5
Standards-aligned
Wayground Content
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15 questions
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1.
FLASHCARD QUESTION
Front
What is the standard deviation of a sampling distribution?
Back
The standard deviation of a sampling distribution, also known as the standard error, is not the same as the standard deviation of the population. It is calculated as the population standard deviation divided by the square root of the sample size.
2.
FLASHCARD QUESTION
Front
What is a statistic in the context of sampling?
Back
A statistic is a numerical value that describes a characteristic of a sample. For example, in a survey where 43% of high school students say their mother taught them about managing money, 43% is a statistic.
Tags
CCSS.6.SP.B.5B
3.
FLASHCARD QUESTION
Front
What is a parameter in statistics?
Back
A parameter is a numerical value that describes a characteristic of a population. It is a fixed value, unlike a statistic which can vary from sample to sample.
Tags
CCSS.HSS.IC.B.3
4.
FLASHCARD QUESTION
Front
What is the Central Limit Theorem?
Back
The Central Limit Theorem states that the distribution of the sample means will approach a normal distribution as the sample size increases, regardless of the shape of the population distribution.
5.
FLASHCARD QUESTION
Front
How do you calculate the standard deviation of the sampling distribution of sample means?
Back
The standard deviation of the sampling distribution of sample means (standard error) is calculated using the formula: σ/√n, where σ is the population standard deviation and n is the sample size.
6.
FLASHCARD QUESTION
Front
What is the significance of a 75% recommendation rate in a sample of dentists?
Back
A 75% recommendation rate indicates that if a sample of dentists is surveyed, we can use this rate to assess the validity of claims made in advertisements, such as those for Trident gum.
Tags
CCSS.7.SP.A.2
7.
FLASHCARD QUESTION
Front
What does it mean if a sampling distribution is normally distributed?
Back
If a sampling distribution is normally distributed, it means that the sample means will cluster around the population mean, forming a bell-shaped curve.
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