Probability and Statistics Concepts

Probability and Statistics Concepts

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial covers probability distributions, focusing on criteria for PDFs, checking validity, and using tables for probability questions. It explains calculating expected value and standard deviation with StatCrunch, applying probability in games and real-life scenarios, and understanding binomial probabilities.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key requirement for a probability distribution function (PDF)?

X values must be continuous.

Probabilities must be greater than 1.

Probabilities must add up to 1.

Probabilities must be negative.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following would disqualify a distribution from being a PDF?

All probabilities are between 0 and 1.

The sum of probabilities is 1.

There is a negative probability.

All X values are discrete.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If the sum of probabilities for a PDF is 0.8, what should the missing probability be to complete the PDF?

0.2

0.5

0.8

1.0

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you find the probability that X is greater than 4 using a table?

Use only the probability for X = 4.

Subtract probabilities for X = 4 and below from 1.

Add probabilities for X = 5 and above.

Add probabilities for X = 4 and below.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What probability value indicates an unusual event in a selection process?

Between 0.1 and 0.5

Exactly 0.1

Below 0.05

Above 0.5

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is another term for expected value in probability?

Mean

Range

Mode

Median

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is variance related to standard deviation?

Variance is half the standard deviation.

Variance is double the standard deviation.

Variance is the square of standard deviation.

Variance is the square root of standard deviation.

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