
AP Biology Chi Square
Authored by Nicole Karle
Biology
9th - 12th Grade
NGSS covered
Used 329+ times

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12 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of a Chi-Square test?
To determine if there is a significant difference between the observed and expected values in an experiment.
To determine if there is a statistically significant difference between the observed and expected values in an experiment.
To do extra math.
To conclusively prove that your null hypothesis is true or false.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which significance level (p value) do you look at when finding the critical value?
.50
.10
.05
.01
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do you find critical value?
where degrees of freedom lines up with significance level (p-value)
where significance level (p-value) lines up with chi-square
the difference between total and chi-square
degrees of freedom minus significance level (p-value)
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do you find degrees of freedom?
the number of categories + 1
the number of categories - one
total number of categories divided 2
total number of experiments times 2
5.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Observed in the wild are 10 circles, 20 squares and 30 triangles. The ratio for this particular population is 2:3:5
observed: 10 circles expected: 12
observed 20 squares expected : 18
observed 30 triangles expected: 30
How many degrees of freedom are there in this experiment?
1
2
3
4
Tags
NGSS.HS-LS4-3
6.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What are the degrees of freedom for the following χ² test?
7.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
The manager of a high school cafeteria is planning to offer several new types of food for student lunches in the following school year. She wants to know if each type of food will be equally popular so she can start ordering supplies. To find out, she selects a random sample of 100 students and asks them, "Which type of food do you prefer: Asian food, Mexican food, pizza, or hamburgers?" Here are the data in the table provided. The Chi-square value is 11. Which of the following is the most appropriate conclusion?
The chi-square value is less than the critical value and the null hypothesis should be rejected. Students prefer some foods over others.
The chi-square value is greater than the critical value and the null hypothesis should be rejected. Students prefer some foods over others.
Students do not prefer one food type over another as proven by the chi-square test.
The data is inconclusive.
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