CCC - EXAM 2 STUDY GUIDE QUESTIONS WITH
ANSWERS
What is the first step in calculating statistical power? ✔️✔️Determine the information needed
to calculate statistical power- the population mean, the
population standard deviation, the hypothesizes mean for the sample, the sample size and the
standard error based on this sample size.
A(n) ___________________ is a type of t test in which we
compare data from one sample to a population for which we
know the mean but not the standard deviation. ✔️✔️single-sample t test
A(n) ___________________ is a type of t test in which we
compare data from one sample to a population for which we
know the mean but not the standard deviation. ✔️✔️single-sample t test
As sample size decreases, the shape of the t distribution ✔️✔️gets progressively wider.
What is the difference between the z and t tests? ✔️✔️The t test uses the estimated standard
error while the z
statistic uses the actual standard error of the population of
means
The formula for degrees of freedom for a single sample t test is: ✔️✔️df = N - 1
Degrees of freedom total ✔️✔️Df total = N-1
The formula for the degrees of freedom for the paired-samples t test is _____. ✔️✔️N-1
,According to your text book, all of the following are steps involved in calculating a single
sample t-test EXCEPT:
-identify the populations, distribution, and assumptions.
Correct!
calculate the z scores
- state the null and research hypotheses
-determine the critical values, or cutoffs ✔️✔️calculate the z scores
Which of these is the correct formula for calculating effect size for a single sample t test?
✔️✔️Cohen's d=(M-μ)/s
A paired samples t test is also known as a(n): ✔️✔️dependent samples t test
Using Standard Error to Calculate the t Statistic ✔️✔️The formula for the single-sample t
statistic is:
The formula for standard deviation when estimating from a sample is: ✔️✔️Replace x bar with
M
We calculate estimated standard error by dividing by N − 1, rather than dividing by N, when
calculating standard error.
The formula for standard error when we estimate from a sample is: ✔️✔️The formula for the t
statistic for a single-sample t test is the same as the formula for the z statistic for a distribution of
means, except that we use estimated standard error in the denominator rather than the actual
standard error for the population.
, We use t distributions when we do not know the population standard deviation and are
comparing only two groups. ✔️✔️The two groups may be a sample and a population, or two
samples as part of a within-groups design or a between-groups design.
When we cant use the CLT When n is Small ✔️✔️use the t distribution uses the Degrees of
Freedom
The Six Steps of Single Sample t-Test ✔️✔️STEP 1: Identify the populations, distribution, and
assumptions.
STEP 2: State the null and research hypotheses.
STEP 3: Determine the characteristics of the comparison distribution.
STEP 4: Determine the critical values, or cutoffs.
STEP 5: Calculate the test statistic.
STEP 6: Make a decision
After completing the hypothesis test Write the symbol for the test statistic (e.g., t).
Write the degrees of freedom, in parentheses.
Write an equal sign and then the value of the test statistic, typically to two decimal places.
Write a comma and then indicate the p value by writing "p =" and then the actual value
Cutoffs confidence interval
ANSWERS
What is the first step in calculating statistical power? ✔️✔️Determine the information needed
to calculate statistical power- the population mean, the
population standard deviation, the hypothesizes mean for the sample, the sample size and the
standard error based on this sample size.
A(n) ___________________ is a type of t test in which we
compare data from one sample to a population for which we
know the mean but not the standard deviation. ✔️✔️single-sample t test
A(n) ___________________ is a type of t test in which we
compare data from one sample to a population for which we
know the mean but not the standard deviation. ✔️✔️single-sample t test
As sample size decreases, the shape of the t distribution ✔️✔️gets progressively wider.
What is the difference between the z and t tests? ✔️✔️The t test uses the estimated standard
error while the z
statistic uses the actual standard error of the population of
means
The formula for degrees of freedom for a single sample t test is: ✔️✔️df = N - 1
Degrees of freedom total ✔️✔️Df total = N-1
The formula for the degrees of freedom for the paired-samples t test is _____. ✔️✔️N-1
,According to your text book, all of the following are steps involved in calculating a single
sample t-test EXCEPT:
-identify the populations, distribution, and assumptions.
Correct!
calculate the z scores
- state the null and research hypotheses
-determine the critical values, or cutoffs ✔️✔️calculate the z scores
Which of these is the correct formula for calculating effect size for a single sample t test?
✔️✔️Cohen's d=(M-μ)/s
A paired samples t test is also known as a(n): ✔️✔️dependent samples t test
Using Standard Error to Calculate the t Statistic ✔️✔️The formula for the single-sample t
statistic is:
The formula for standard deviation when estimating from a sample is: ✔️✔️Replace x bar with
M
We calculate estimated standard error by dividing by N − 1, rather than dividing by N, when
calculating standard error.
The formula for standard error when we estimate from a sample is: ✔️✔️The formula for the t
statistic for a single-sample t test is the same as the formula for the z statistic for a distribution of
means, except that we use estimated standard error in the denominator rather than the actual
standard error for the population.
, We use t distributions when we do not know the population standard deviation and are
comparing only two groups. ✔️✔️The two groups may be a sample and a population, or two
samples as part of a within-groups design or a between-groups design.
When we cant use the CLT When n is Small ✔️✔️use the t distribution uses the Degrees of
Freedom
The Six Steps of Single Sample t-Test ✔️✔️STEP 1: Identify the populations, distribution, and
assumptions.
STEP 2: State the null and research hypotheses.
STEP 3: Determine the characteristics of the comparison distribution.
STEP 4: Determine the critical values, or cutoffs.
STEP 5: Calculate the test statistic.
STEP 6: Make a decision
After completing the hypothesis test Write the symbol for the test statistic (e.g., t).
Write the degrees of freedom, in parentheses.
Write an equal sign and then the value of the test statistic, typically to two decimal places.
Write a comma and then indicate the p value by writing "p =" and then the actual value
Cutoffs confidence interval
