t-Test
To compare 2 groups on one dependent variable, a t-Test would be used. ANOVA would be used
if more than 2 groups were being compared. MANOVA would be used if there were multiple
dependent variables. Linear regression examines correlations. - ANS ✔✔A researcher wants to
determine if there is a difference in heart rate between a control group and an experimental
group. Which statistical test would be best?
A. t-Test
B. Analysis of variance (ANOVA)
C. Multiple regression
D. Multivariate analysis of variance (MANOVA)
"Please list your current age in years _____."
Ratio is the highest level of measurement and should be done whenever possible. Asking
participants to report their actual age is ratio level. All the other options of ordinal. - ANS ✔✔A
researcher wants to collect data regarding age. Which method of measurement would provide
the best data?
A. "Please list your current age in years _____."
B. "Please select your age group in years." 0-10, 11-20, 21-30, 31-40, 41-50
C. "Select which decade you were born" 1960s, 1970s, 1980s, 1990s, 2000, 2010s
D. "Select your generation" Baby boomer, Generation X, Millennial, Gen Z
Descriptive
, These statistics describe the sample, therefore are descriptive. No inferences can be drawn from
these statistics. College and research are not types of statistics in research. - ANS ✔✔The
researcher reports the following statistics: "The ages ranged from 18-49 years old, mean age of
31.8 years." Which type of statistics was reported?
A. Inferential
B. Descriptive
C. College
D. Research
Standard deviation
Mean, median, and mode are all measure of central tendency. In a normal distribution, all are
the same value. Standard deviation pertains to the spread of the distribution (variability). - ANS
✔✔Which one of these is NOT a measure of central tendency?
A. Standard deviation
B. Mean
C. Median
D. Mode
.05
The higher the alpha, the greater the risk of type I error. An alpha of .05 equates to type I error
5 out of 100 times. - ANS ✔✔Which of these alphas is associated with the greatest risk of a type
I error?