What is a hypothesis test?

A researcher hypothesizes that increasing fertilizer will increase plant growth. Data show no growth difference. What should you do?

• Accept the hypothesis

• Reject the hypothesis

• Modify the hypothesis

• Ignore the data

Hypothesis: 'Listening to music improves test scores.' New data: students who listened to music scored lower. Does this support or weaken the hypothesis?

• Supports

• Weakens

• No effect

• Cannot be determined

If a hypothesis states 'Drug A lowers blood pressure' and the p-value is 0.03 (α = 0.05), what should be concluded?

• Reject null hypothesis

• Fail to reject null hypothesis

• Accept null hypothesis

• Increase sample size

When new data contradicts a hypothesis, what type of error risk could it indicate?

• Type I error

• Type II error

• Both errors

• No error

Hypothesis: 'Exercise raises mood.' New data show no mood change. What is the conclusion?

• Hypothesis supported

• Hypothesis disproven

• Fail to support hypothesis

• Accept hypothesis

If you fail to reject a false null hypothesis, which error are you making?

• Type I error

• Type II error

• Both

Hypothesis: 'Men and women have equal reaction times.' New experiment shows a significant difference. What does this mean?

• Supports hypothesis

• Weakens hypothesis

• Rejects null hypothesis

• Both B and C

Data shows a trend that supports a hypothesis but the p-value is greater than 0.05. How should you interpret that?

• Strong support

• Weak support

• Not statistically significant

• Reject hypothesis

A hypothesis remains possible but isn’t supported by new data. What does this mean?

• Disproven

• Not supported

• Confirmed

• Statistically significant

Tags

NGSS.HS-LS4-5

If a hypothesis is supported by one dataset but contradicted by another, how should you evaluate it?

• Always accept

• Always reject

• Compare quality of datasets

• Ignore both

Tags

NGSS.HS-ETS1-3