Biostats Final Review S24

Likert scale data (as found in this figure) is:

Minimum n needed for comparing means to use Z:

Look for this value (as calculated from the data) to be in the tail for a test to be Sig:

Difference in two means is statistically analyzed by:

The CLT states that as ___ becomes larger, the distribution of data becomes more normal and narrow:

CI is NOT:

Desirable power:

Which Measure of Central Tendency is LEAST agreed upon by researchers / statisticians to use for ordinal data?

Type II Error is:

The relationships of these two variables are being investigated:

Shape of normal distribution is NOT:

TWO other names for two-way Chi Square:

Degrees of freedom for counts include k-1 (and r-1 and c-1), where the letters are the number of:

NOT a way to increase power (and decrease Type II error):

The wider the CI, the better -- more data is found within the interval

Type of statistics which summarize data:

Where Standard Error for means is:

The standard alpha is associated with:

The small p value also indicates the difference between the exams is:

The bars represent the average percentage -- this the:

In evaluating absolute or relative mean difference, this value represents no change between exam scores:

Means that have different superscripts are statistically...

SD tells us:

Counts can be summarized by all of these, EXCEPT NOT:

Counts are evaluated by all of these, EXCEPT:

CI is different from ME in that ___ is expressed as +/- (2 x SE):

This data has the counts of each variable. It is NOT:

If p = 0.35, you would:

Symbol for the mean population parameter:

Confidence intervals can help to determine clinical significance

In evaluating clinical significance, the boundary is NOT:

If Cohen's d was determine to be 0.76, effect size was:

The standard alpha is associated with:

Absolute boundary means that, if a CI touches or crosses it, that group is ___ different from the boundary:

CI is NOT: (pick TWO)

This abbreviation is associated with Dividing the % of Exam 2 Score / Exam 1 Score

Minimum n needed for XY pairs in correlation and regression:

Practice question: Exams 1 and 2 are

All of these are TRUE about standard alpha EXCEPT:

Exam percentage is (CHOOSE TWO):

The standard alpha is:

95% confidence intervals can be estimated by taking ___ x SE

p is determined by:

p value in the figure suggests... -- choose TWO:

p here stands for:

Using CI overlap -- Are any groups different in this figure from each other?

In evaluating statistical significance, the boundary is:

The standard alpha is associated with:

Counts are statistically analyzed by:

In comparing a test stat of +3.825 to critical value of +5.628, you would:

When p value is close to 0.05 but not below it (i.e., 0.057), this suggests (CHOOSE TWO):

Type of data for exam scores -- CHOOSE TWO:

Standard alpha

p value in the figure suggests you should:

All of these are types of outcomes, EXCEPT FOR:

This contingency table is (row x column):

Population symbol for SD:

If Exam 1 is the baseline measure, it would be the:

Ordinal data does NOT include:

Effect size is the ___ of effect that the independent variable has on the dependent variablen-- CHOOSE TWO:

The absolute change in exam scores is determined by:

When choosing an appropriate statistical operation, you should look at:

Confidence intervals can help to determine statistical significance

Minimum n needed for each cell of Chi square:

This is because ordinal data is non-parametric -- which is all of these EXCEPT FOR:

In evaluating RR, this value represents no change between exam scores:

Marginal total is:

Which is an appropriate null hypothesis?

Besides CI, this measure also uses probability in estimation and inferential statistics:

Symbol for null:

Power is NOT: