hypothesis testing

Suppose the P-value for a hypothesis test is 0.0304.  Using a = 0.05, what is the appropriate conclusion?

•   a)  reject the null
• b)  reject the alternative
• c)  Fail to reject the null
• d)  Fail to reject the alternative

When p-value is greater than alpha we:

• Accept Ho
• Accept Ha
• Fail to reject Ho
• Reject Ho

A random sample of students at a college shows that 54 of 200 students had part-time jobs. We want to see if the proportion of all college students with part time jobs is greater than the national average.

• 1 sample t-test

• 1 prop t-test

• 1 prop z-test

• 1 sample z-test

Small p-values mean that our sample was very unlikely if the null hypothesis is true. Therefore, small p-values are ________________ that the null hypothesis is wrong.

• convincing evidence

• believable proof

• reliable information

• justifiable inference

The symbol for the significance level is ____.

• Since our p-value of 0.027 is >undefined , we fail to reject the null hypothesis. We do not have convincing evidence that the new method is better. 

A test of hypothesis is always about

• a population parameter

• a sample statistic

• a test statistic

If the p-value is large, then, assuming the null is true, the sample is not unusual , so we ______ the null and there _________ that the alternative hypothesis is true. 

• fail to reject, is NOT convincing evidence

• fail to reject, IS convincing evidence

• reject, is NOT convincing evidence

• reject, IS convincing evidence

Which of the following is the FIRST step of a hypothesis test?

• Check assumptions & conditions
• Find your test statistic
• State your conclusion
• State your null & alternative hypotheses

H₀: μ = k

H₁: μ > k

• Left-tailed test

• Right-tailed test