Statistical Inference Unit Review

• It states there is a significant effect or difference.

• It is the hypothesis that there is no effect, no difference, or no relationship.

• It must always be proven true.

• It is always associated with non-traditional methods.

What does a significance level of 0.05 indicate in hypothesis testing?

• There is a 5% probability of rejecting the null hypothesis when it is actually true.

• There is a 95% chance that the null hypothesis is true.

• The data is 5% accurate.

• The p-value must be greater than 0.05 to reject the null hypothesis.

What conclusion should be drawn if the p-value is 0.03 and the significance level is set at 0.05?

• The null hypothesis should be rejected because there is sufficient evidence against it.

• The null hypothesis should not be rejected because there is not enough evidence against it.

• The p-value is too high to make a conclusive decision.

• • The test should be re-conducted as the results are inconclusive.

If the p-value is 0.07 and the significance level is set at 0.05, what is the appropriate decision regarding the null hypothesis?

• Reject the null hypothesis because the p-value is close to the significance level.

• Do not reject the null hypothesis because the p-value exceeds the significance level.

• Increase the significance level to match the p-value and then reassess.

• The p-value indicates the data is not valid.

What is the area under the curve to the left of z = 0.55 ?

• .2912
• .5500
• .9394
• .7088

Tags

CCSS.HSS.ID.A.4

What is the area under the curve between z = 0 and z = 1.45?

• .9265
• .4265
• .4500
• .5000

Tags

CCSS.HSS.ID.A.4

Between what two standard deviations of a normal distribution contain 68% of the data?

• one below and one above
• two below and two above
• two below and zero
• zero and two above

Tags

CCSS.HSS.ID.A.4

What conclusion would be made if the z-value is larger than the critical value?

• Reject the null hypothesis

• Fail to reject the null hypothesis

• Increase the sample size

• Decrease the significance level

According to the Empirical Rule

• 34% of the values fall within 3 standard deviations above and below the mean

• 34% of the values fall within 1 standard deviations above and below the mean

• 68% of the values fall within 1 standard deviations above the mean

• 68% of the values fall within 1 standard deviations above and below the mean

How much data is expected to fall within two standard deviation of the mean for a normal distribution?

• 50%

• 68%

• 95%

• 99.7%