Statistical Hypothesis Testing Concepts

Statistical Hypothesis Testing Concepts

Assessment

Interactive Video

Biology

10th - 12th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial explains chi-square tests for one-way tables, focusing on a genetics experiment involving sweet peas. It covers hypothesis testing, calculating expected counts, and interpreting the chi-square test statistic and p-value. The tutorial highlights the importance of these statistical methods in understanding genetic linkage.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a one-way table used for in statistics?

Classifying observations based on multiple variables

Classifying observations based on numerical data

Classifying observations based on a single categorical variable

Classifying observations based on continuous data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the blood type example, what is the main hypothesis being tested?

All blood types are equally likely

Blood type O is the most common

Blood types are inherited independently

Blood type A is the least common

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the main focus of the genetics experiment on sweet peas?

To study the color of flowers

To analyze the soil preference of sweet peas

To investigate the inheritance of flower color and pollen grain shape

To determine the growth rate of sweet peas

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the 9:3:3:1 ratio represent in genetic inheritance?

The ratio of different plant heights

The expected ratio of phenotypes if genes are inherited independently

The ratio of different soil types

The expected ratio of genotypes in a population

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the null hypothesis in the sweet pea experiment?

The phenotypes occur in a 9:3:3:1 ratio

The phenotypes occur in a 1:1:1:1 ratio

The phenotypes occur in a 3:1 ratio

The phenotypes occur in a 2:2:2:2 ratio

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How are expected counts calculated under the null hypothesis?

By dividing the total sample size by the number of categories

By subtracting the observed counts from the total sample size

By adding the observed counts

By multiplying the hypothesized probabilities by the total sample size

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a large difference between observed and expected counts indicate?

A need to collect more data

No evidence for or against the null hypothesis

Strong evidence against the null hypothesis

Strong evidence for the null hypothesis

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