Significance Testing Concepts

Significance Testing Concepts

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Patricia Brown

FREE Resource

The video introduces significance testing, also known as hypothesis testing, using a relatable example involving cheeseburgers. It explains the steps of conducting a significance test, including stating hypotheses, collecting data, and calculating results. The video also covers assumptions, terminology, and the concept of P-values. Several examples are provided to illustrate null and alternative hypotheses, and the video concludes with a final example to reinforce the concepts.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of significance testing as introduced in the video?

To advertise Wendy's products

To determine the taste of cheeseburgers

To measure the weight of cheeseburgers

To compare observed data against a claim

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in the significance test procedure?

Stating a hypothesis

Reporting findings

Performing calculations

Collecting data

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an assumption made during significance testing?

Data should be collected appropriately

The population should be limited

The sample size should be small

Data must be collected from a biased sample

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What symbol is used to represent the null hypothesis?

H sub p

H sub n

H sub zero

H sub a

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a one-tail test, what is being examined?

The average of two samples

The sum of all data points

Only one direction of deviation

Both directions of deviation

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main difference between a one-tail and a two-tail test?

Two-tail tests are only used for car mileage

One-tail tests require larger samples

Two-tail tests examine both directions of deviation

One-tail tests are more accurate

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a P-value represent in significance testing?

The probability of observing data as extreme as the sample

The average weight of a sample

The probability of the null hypothesis being false

The total number of samples collected

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