Null vs Alternative Hypotheses

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Hypothesis basics

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Sweetzyl Pili

Philippines

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Froggy Jumps Null vs Alternative HypothesesOnline version Hypothesis basics by Sweetzyl Pili 1 What is the null hypothesis (H0) in hypothesis testing? a H0 asserts there is a strong effect b H0 states there is no effect or difference c H0 guarantees a significant result 2 What does the alternative hypothesis (H1 or Ha) propose? a There is zero variance b There is never a sample size limitation c There is an effect or a difference 3 What is a simple example of H0 for a new drug? a The drug cures all patients b The drug is superior to any therapy c The drug has no effect compared to placebo 4 What does a two-tailed test mean in hypothesis testing? a Only testing if the effect is positive b Being concerned with deviations in both directions from H0 c Only testing if the effect is negative 5 Which type of error occurs when we wrongly reject H0? a Type II error (false negative) b No error; H0 is always correct c Type I error (false positive) 6 Which type of error occurs when we fail to reject a false H0? a Type II error (false negative) b Type I error (false positive) c We always reject H0 in error 7 P-value in hypothesis testing helps determine what? a Size of the sample used only b Evidence against H0 for the observed data c Strength of the alternative hypothesis 8 If p-value < alpha, what should we do? a Modify the alternative hypothesis b Reject the null hypothesis c Fail to reject H0 9 What is the role of the significance level (alpha)? a Probability of a correct decision b Threshold for deciding whether to reject H0 c Measurement unit for effect size

Froggy Jumps

Null vs Alternative HypothesesOnline version

Hypothesis basics

by Sweetzyl Pili

What is the null hypothesis (H0) in hypothesis testing?

H0 asserts there is a strong effect

H0 states there is no effect or difference

H0 guarantees a significant result

What does the alternative hypothesis (H1 or Ha) propose?

There is zero variance

There is never a sample size limitation

There is an effect or a difference

What is a simple example of H0 for a new drug?

The drug cures all patients

The drug is superior to any therapy

The drug has no effect compared to placebo

What does a two-tailed test mean in hypothesis testing?

Only testing if the effect is positive

Being concerned with deviations in both directions from H0

Only testing if the effect is negative

Which type of error occurs when we wrongly reject H0?

Type II error (false negative)

No error; H0 is always correct

Type I error (false positive)

Which type of error occurs when we fail to reject a false H0?

Type II error (false negative)

Type I error (false positive)

We always reject H0 in error

P-value in hypothesis testing helps determine what?

Size of the sample used only

Evidence against H0 for the observed data

Strength of the alternative hypothesis

If p-value < alpha, what should we do?

Modify the alternative hypothesis

Reject the null hypothesis

Fail to reject H0

What is the role of the significance level (alpha)?

Probability of a correct decision

Threshold for deciding whether to reject H0

Measurement unit for effect size

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Null vs Alternative Hypotheses

Froggy Jumps

About this activity

Created by

Download the paper version to play

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Null vs Alternative HypothesesOnline version

by Sweetzyl Pili

What is the null hypothesis (H0) in hypothesis testing?

What does the alternative hypothesis (H1 or Ha) propose?

What is a simple example of H0 for a new drug?

What does a two-tailed test mean in hypothesis testing?

Which type of error occurs when we wrongly reject H0?

Which type of error occurs when we fail to reject a false H0?

P-value in hypothesis testing helps determine what?

If p-value < alpha, what should we do?

What is the role of the significance level (alpha)?

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