Understanding Probability Distributions

Understanding Probability Distributions

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

This lesson introduces the student T distribution, explaining its use in statistics, particularly when dealing with small sample sizes. It contrasts the T distribution with the normal distribution, which is typically used for larger samples. The lesson also covers the concept of probability distributions, including the normal and uniform distributions, highlighting their different shapes and applications.

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18 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main focus of this lesson in mastering statistics?

The Poisson distribution

The binomial distribution

The Student T distribution

The normal distribution

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a name for the Student T distribution?

T metric

T distribution

T student T distribution

Z distribution

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When can the normal distribution be used to approximate the Student T distribution?

When the sample size is exactly 30

When the sample size is greater than 30

When the sample size is less than 30

When the sample size is unknown

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the critical value used in the normal distribution to calculate the margin of error?

P sub C

T sub C

Q sub C

Z sub C

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to the normal distribution when the sample size is large?

It becomes a uniform distribution

It becomes a binomial distribution

It becomes a T distribution

It remains a normal distribution

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might you need to use the T distribution instead of the normal distribution?

When the data is normally distributed

When the sample size is large

When the data is uniformly distributed

When the sample size is small

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main advantage of using the T distribution for small samples?

It is easier to calculate

It requires less data

It provides more accurate confidence intervals

It is more commonly used

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