Mastering Hypothesis Testing in Data Analysis

Mastering Hypothesis Testing in Data Analysis

Assessment

Interactive Video

Mathematics, Science, Other

9th - 12th Grade

Practice Problem

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial explains hypothesis testing, a method to determine if there is enough evidence in a sample to infer a condition for a population. It covers the concepts of population and sample, formulating and testing hypotheses, understanding p-values and statistical significance, and the types of errors in hypothesis testing. The video also introduces Datatab, a tool for conducting hypothesis tests.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main purpose of hypothesis testing?

To compare two unrelated samples

To collect data from an entire population

To determine if there is enough evidence to support a claim about a population

To prove a theory is true

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In hypothesis testing, what is a sample?

A statistical error

A theoretical model

A smaller group selected from the population

The entire group of interest

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in conducting a hypothesis test?

Calculating the p-value

Formulating a hypothesis

Rejecting the null hypothesis

Collecting data

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the null hypothesis state?

The sample is biased

There is a significant effect

The alternative hypothesis is true

There is no difference in the population

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a p-value indicate in hypothesis testing?

The average of the population

The size of the sample

The probability of observing the sample data if the null hypothesis is true

The probability of the null hypothesis being true

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When is a result considered statistically significant?

When the p-value is greater than 0.05

When the p-value is less than a predetermined threshold

When the sample size is large

When the null hypothesis is accepted

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a Type 1 error in hypothesis testing?

Accepting a false null hypothesis

Rejecting a true null hypothesis

Rejecting a false alternative hypothesis

Accepting a true alternative hypothesis

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