STATISTICS ACTIVITY 2: Types of Error in Hypothesis Testing
Quiz by Evangeline Martinez Fechalin
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- Q1
A Type I error occurs when
a null hypothesis is rejected but should not be rejected.
a null hypothesis is not rejected but should be rejected.
a test statistic is incorrect.
120s - Q2
A Type II error occurs when
a null hypothesis is not rejected but should be rejected.
a test statistic is incorrect.
a null hypothesis is rejected but should not be rejected.
30s - Q3
Bottles of water have a label stating that the volume is 12 oz. A consumer group suspects the bottles are under‐filled and plans to conduct a test. A Type I error in this situation would mean
the consumer group concludes the bottles have less than 12 oz. when the mean actually is 12 oz.
the consumer group has evidence that the label is incorrect.
the consumer group does not conclude the bottles have less than 12 oz. when the mean actually is less than 12 oz.
30s - Q4
A certain experimental drug claims a cure rate of at least 75% for males with prostate cancer. The TYPE I error is " A cancer patient believes the experimental drug has at least a 75% cure rate when it has a cure rate that is less than 75%." Is it true?
falsetrueTrue or False300s - Q5
A man goes to trial where he is being tried for the murder of his wife. Suppose that the null hypothesis is : "the man is not guilty." Which one is the Type I error?
He the man did kill his wife but was found not guilty and was not punished.
He did not kill his wife but was found guilty and is punished for a crime he did not really commit.
120s - Q6
Suppose that the Ho is: "HUMSS student-researcher claims that peer reviewing can boost self-confidence and improve test scores." Give the Type II error.
HUMSS student-researcher claims peer reviewing cannot boost self-confidence and improve test scores, but his survey result supported otherwise.
HUMSS student-researcher claims that peer reviewing can boost self-confidence and improve test scores but the result of his survey did not support his claims.
300s - Q7
The Type I error means that the Ho is false but accepted.
falsetrueTrue or False60s - Q8
It is a statement of expectation, claims or prediction that will be tested by research.
Users re-arrange answers into correct orderJumble45s - Q9
You decide to get tested for COVID-19 based on mild symptoms. You assume you have COVID-19. Give the type I error.
The test result says you have coronavirus, but you actually don’t.
The test result says you don’t have coronavirus, but you actually do.
120s - Q10
The proportion of adults who use the internet is greater than 0.87. The Null hypothesis is equal to 0.87. Give the type II error.
The actual value of the proportion is equal to 0.87, and the researcher rejects the claim.
The actual value of the proportion is greater than 0.87, and the researcher fails to reject the claim.
60s