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

Statistical Hypothesis Testing Concepts

Interactive Video
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Biology
•
10th - 12th Grade
•
Hard

Thomas White
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
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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