BIOL2022 L01 Why statistics? Organisms are variable in a variable world.

Question 1 of 5

1

Variability, intrinsic vs extrinsic: Measurement error is an example of ❌; ‘natural’ variation within the system (e.g. body sizes of different individuals) are an example of ❌.

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Extrinsic

Intrinsic

None! Stupid answer.

Explanation

Question 2 of 5

1

Dispersion, spread: ❌ is the square root of ❌.

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Standard deviation

Variance

Standard Error

Explanation

Question 3 of 5

2

Complete the following formula:

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n (sample size)

variance

standard deviation

standard error

Explanation

Question 4 of 5

2

When to use main tests:
Differences between 2 means: ❌;
Differences between >2 means: ❌;
Linear and/or curvilinear relationships: ❌;
Frequencies (counts): ❌;
(All of these test null hypotheses)

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t-test

ANOVA

Regression and correlation

G test and Chi squared

Chi squared only

Regression only

Correlation only

G test only

Explanation

Question 5 of 5

1

Correlation vs regression:

Select one or more of the following:

Correlation defines a relationship between variables (causal or not)
Regression states that one variable predicts another
Regression defines a relationship between variables (causal or not)
Correlation states that one variable predicts another

	Created by Michael Jardine about 6 years ago

Module 1, Lecture 1 SUMMARY: - Must make questions explicit, and state hypotheses and logical predictions - Correlative approach will tell you that a pattern exists, but (in most cases) only an experiment will tell you why - A simple framework can make life easier!

BIOL2022 L01 Why statistics? Organisms are variable in a variable world.

Question 1 of 5

Variability, intrinsic vs extrinsic: Measurement error is an example of ❌; ‘natural’ variation within the system (e.g. body sizes of different individuals) are an example of ❌.

Drag and drop to complete the text.

Explanation

Question 2 of 5

Dispersion, spread: ❌ is the square root of ❌.

Drag and drop to complete the text.

Explanation

Question 3 of 5

Complete the following formula:

Drag an answer into the correct orange point.

Explanation

Question 4 of 5

When to use main tests: Differences between 2 means: ❌; Differences between >2 means: ❌; Linear and/or curvilinear relationships: ❌; Frequencies (counts): ❌; (All of these test null hypotheses)

Drag and drop to complete the text.

Explanation

Question 5 of 5

Correlation vs regression:

Select one or more of the following:

Explanation

When to use main tests:
Differences between 2 means: ❌;
Differences between >2 means: ❌;
Linear and/or curvilinear relationships: ❌;
Frequencies (counts): ❌;
(All of these test null hypotheses)