An article in the newspaper states that the average number of traffic accidents per month involving road rage is higher this year than last year's average of 12.5 accidents per month.
State the null and alternate hypotheses
Ho: µ = 12.5; and Ha: µ ≠ 12.5
Ho: µ = 12.5; and Ha: µ < 12.5
Ho: µ = 12.5; and Ha: µ > 12.5
Question 2
Based on the statement, “We are fairly sure that this new drug can eliminate headaches. Let’s put it on the market,” you have created the following null and alternative hypotheses:
H0: The drug does not eliminate headaches.
Ha: The drug does eliminate headaches.
Which of the following is the Type I error associated with this scenario?
We conclude that the drug eliminates headaches and it really does
We conclude that the drug does not eliminate headaches when it really does
We conclude that the drug does not eliminate headaches and it really does not
We conclude that the drug eliminates headaches when it really does not
Question 3
Based on the statement, “We are fairly sure that this new drug can eliminate headaches. Let’s put it on the market,” you have created the following null and alternative hypotheses:
H0: The drug does not eliminate headaches.
Ha: The drug does eliminate headaches.
Which of the following is the Type II error associated with this scenario?
We conclude that the drug eliminates headaches when it really does not
We conclude that the drug does not eliminate headaches and it really does not
We conclude that the drug eliminates headaches and it really does
We conclude that the drug does not eliminate headaches when it really does
Question 4
In a hypothesis test, assuming the null hypothesis is true, the probability that the test statistic will take a value at least as extreme as the value actually observed is ___.
the level of significance of the test.
the margin of error of the test.
the p-value of the test.
the critical value of the test.
Question 5
In hypothesis testing, the p-value tells us the ____ level of significance at which the null hypothesis can be ____.
largest; accepted
largest; rejected
smallest; accepted
smallest; rejected
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