Q64 the most appropriate null hypothesis in symbols

Q64: The most appropriate null hypothesis (in symbols) would be
A. μ
new program
= 6.3
B. μ
new program
= 5.5
C. μ
new program
 6.3
D. μ
new program
 6.3
Q65: Set up the criteria for making a decision. That is, find the critical value using an
alpha = .01. (Make sure you are sign specific: + ; - ; or  ) (Use your tables)
Summarize the data into the appropriate test statistic.
Steps:
Q66: What is the numeric value of your standard error?
Q67: What is the z-value or t-value you obtained (your test statistic)?
Q68: Based on your results (and comparing your Q67 and Q65 answers) would you
Q69: The best conclusion for this example would be

Q70: Based on your evaluation of the null in Q68 and your conclusion is Q69, as a researcher
you would be more concerned with a
Calculate the 99% confidence interval.
Steps:
Q71: The mean you will use for this calculation is
A. 5.5
B. 6.3
10
Q72: What is the new critical value you will use for this calculation?
Q73: As you know, two values will be required to complete the following equation:
__________    __________
The following 4 questions (Q74 to Q77) are based on the following situation:
If α = .10, and β = .30, complete the following questions by inserting the appropriate
probability of each.
Q74: The statistical decision is to reject the null, and H
0
is really true (ie: a Type I error)
Q75: The statistical decision is to fail to reject null, and H
0
is really true (ie: a correct decision)
Q76: The statistical decision is to reject the null, and H
0
is really false (ie: Power)
Q77: 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 (Q78 to Q91) 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 300. 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 .05.
Q78: The appropriate statistical procedure for this example would be a