Q10:
Based on your evaluation of the null in Q8 and your conclusion is Q9, as a researcher you
would be more concerned with a
A.
Type I statistical error
B.
Type II statistical error
Calculate the
95%
confidence interval.
Steps:
Q11:
The mean you will use for this calculation is
A.
5.3
B.
6.3

Q12:
What is the new critical value you will use for this calculation?
Q13:
As you know, two values will be required to complete the following equation:
__________
≤
µ
≤
__________
The following 4 questions (Q14 to Q17) are based on the following situation:
If α = .03, and β = .40, complete the following questions by inserting the appropriate
probability of each.
Q14:
The statistical decision is to reject the null, and H
0
is really true (ie: a Type I error)
Q15:
The statistical decision is to fail to reject null, and H
0
is really true (ie: a correct decision)
Q16:
The statistical decision is to reject the null, and H
0
is really false (ie: Power)

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Q17:
The statistical decision is to fail to reject the null, and H
0
is really false
(ie a Type II error)
The following 14 questions (Q18 to Q31) are based on the following example:
A researcher wants to determine whether high school students who attend an SAT
preparation course score significantly different on the SAT than students who do not attend the
preparation course. For those who do not attend the course, the population mean is 1050 (μ =
1050). The 16 students who attend the preparation course average 1150 on the SAT, with a
sample standard deviation of 100. On the basis of these data, can the researcher conclude that the
preparation course has a significant difference on SAT scores? Set alpha equal to .01.
Q18:
The appropriate statistical procedure for this example would be a

Q19:
Is this a one-tailed or a two-tailed test?

Q20:
The most appropriate null hypothesis (in words) would be