
Bio 112 Lab Test 2 Review
Quiz
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Other
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University
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Easy
Sandy DiRienzi
Used 2+ times
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12 questions
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1.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Use if you want to ask whether the frequencies of individuals in specific categories are significantly different than the frequencies you would expect to find based on a hypothesis. This test analysis is appropriate to use with a categorical variable.
Two-Sample T-Test
One-way ANOVA
Linear Regression
Chi Square Test
2.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Use if you want to ask whether the value of your independent variable predicts the value of your dependent variable. This test analysis is appropriate when both your independent and dependent variables are numeric and when you expect a range of values from each.
Two-Sample T-Test
One-way ANOVA
Linear Regression
Chi Square Test
3.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Use if you want to ask whether values of a numeric variable measured for more than two groups are significantly different. To be more specific, this test allows you to test the null hypothesis that the mean value of a numeric dependent variable is the same for multiple groups.
Two-Sample T-Test
One-way ANOVA
Linear Regression
Chi Square Test
4.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Use if you want to ask whether values of a numeric variable measured for two groups are significantly different. To be more specific, this test allows you to test the null hypothesis that the mean value of a numeric dependent variable is the same for two groups.
Two-Sample T-Test
One-way ANOVA
Linear Regression
Chi Square Test
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
When measuring these variables, you get numbers.
Independent variable
Dependent variable
Numeric variable
Categorical variable
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Involves classifying into separate categories
Independent variable
Dependent variable
Numeric variable
Categorical variable
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Variable whose variation does not depend on another. Also represented by the x axis.
Independent variable
Dependent variable
Numeric variable
Categorical variable
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