Understanding Standard Error and Deviation

Understanding Standard Error and Deviation

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

This video tutorial explains the differences between standard deviation and standard error. It uses examples involving weighing mice to illustrate how standard deviation measures data spread within a single set, while standard error measures variation in means across multiple sets. The video concludes with a summary of these differences and provides additional resources for further learning.

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15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main topic discussed in the video?

The difference between mean and median

The difference between standard deviation and standard error

The importance of data collection

The process of hypothesis testing

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does standard deviation measure?

The average of the data set

The spread of data around the mean

The total sum of the data

The highest value in the data set

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the example given, how many mice were weighed?

Ten

Five

Three

Seven

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result of weighing five mice five separate times?

Five different standard deviations

Five different means

Five identical standard deviations

Five identical means

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the standard error measure?

Variation within a single data set

The highest value in a data set

Variation in means from multiple data sets

The total number of data points

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the standard deviation of the means called?

Standard error

Mean deviation

Variance

Coefficient of variation

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When should you plot the standard deviation?

When calculating the mean

When estimating future data points

When comparing multiple data sets

When describing the data you measured

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