Understanding Statistics and Parameters

Understanding Statistics and Parameters

Assessment

Interactive Video

Mathematics, Science

7th - 10th Grade

Medium

Created by

Amelia Wright

Used 5+ times

FREE Resource

The video tutorial explains the differences between statistics and parameters, emphasizing that statistics describe a sample while parameters describe a population. It uses examples to illustrate these concepts, such as calculating the average age of a sample versus a population. The video also covers symbols used to represent statistics and parameters, including mean, standard deviation, and variance. A brief quiz at the end helps reinforce the understanding of these concepts.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main difference between a statistic and a parameter?

A statistic describes a sample, while a parameter describes a population.

A statistic describes a population, while a parameter describes a sample.

Both statistic and parameter describe a sample.

Both statistic and parameter describe a population.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the example of town XYZ, what does the sample mean represent?

The average age of a subset of residents in town XYZ.

The total number of residents in town XYZ.

The average age of all residents in town XYZ.

The total number of samples taken in town XYZ.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which symbol represents the mean of a population?

S

x-bar

P hat

mu

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the symbol 'S' stand for in statistics?

Population mean

Population standard deviation

Sample standard deviation

Sample mean

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the symbol for the sample proportion?

P hat

P

n

N

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the size of a sample represented in statistics?

Capital N

Lowercase n

P hat

Sigma

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If you calculate the average height of 100 cats in California, what is this an example of?

A population mean

A statistic

A parameter

A population variance

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