BIOSTATS: PARAMETRIC TESTS

Question 1

The Pearson product moment correlation must be used on relationships.

Answer 1

Linear

Question 2

In order to visualize data points, correlation is commonly graphed as a .

Answer 2

Scattergram

Question 3

In linear regression, more than one independent variable is used to predict the dependent (Y) variable.

Answer 3

Multiple

Question 4

If data is not linear, the form of regression analysis used is called .

Answer 4

Simple nonlinear regression

Question 5

Logistic regression can be binomial, ordinal, or .

Answer 5

Multinomal

Question 6

In order to determine how well the “best-fit” line on a sample represents the population, a interval can be calculated for the slope range.

Answer 6

Confidence

Question 7

The only way to reduce the chance of both type I and type II errors is to increase the .

Answer 7

Sample size

Question 8

The (larger/smaller) the sample size, the closer the correlation coefficient is to the true population relationship.

Answer 8

Larger

Question 9

If there is no correlation between two groups, the correlation coefficient is (value) .

Answer 9

Zero

Question 10

A type (I/II) error occurs when a false positive result is obtained.

Answer 10

Type 1

Question 11

A low alpha value (increases/decreases) the chance of committing a type I error.

Answer 11

Decreases

Question 12

is a method that fits the best straight line through a scattergram of linear-related data points.

Answer 12

Simple linear regression

Question 13

In evaluating a binary dependent variable, the likelihood of an event can be predicted using __________ regression.

Answer 13

Logistic

Question 14

Logistic regression predicts the ____________ of particular outcomes.

Answer 14

Probability

Question 15

The Trauma Injury Severity Score, used to predict the mortality of injured patients, was originally developed using regression.

Answer 15

Logistic

Question 16

The correlation coefficient used on ordinal data is called the correlation.

Answer 16

Spearman rank-order

Question 17

The chance of committing a type II error is equal to the value.

Answer 17

Beta

Question 18

ANOVA measures effect size through a percentage called , which is analogous to the coefficient of determination.

Answer 18

ETA-squared

Question 19

The correlation coefficient used on interval or ratio data is called the correlation.

Answer 19

Pearson product moment

Question 20

The coefficient of is a value between zero and one that represents the fraction of the variation between variables, rather than the natural variation within each variable.

Answer 20

Determination

Question 21

To increase the certainty that a (positive/negative) result is correct, the ideal power must be increased.

Answer 21

Negative

Question 22

In logistic regression, the dependent variable is .

Answer 22

Categorical

Question 23

If a placebo appears to have an effect when represented graphically, it is called .

Answer 23

Regression to the mean

Question 24

A type (I/II) error occurs when a false negative result is obtained.

Answer 24

Type II

Question 25

Logistic regression is used for predicting (independent/dependent) variables that are members of one of a limited number of categories.

Answer 25

Dependent

Question 26

The power of a test is increased when the effect size is (increased/decreased) .

Answer 26

Increased

Question 27

_______________ logistic regression is used to analyze a dependent variable that has more than two outcome categories.

Answer 27

Multinominal

Question 28

In regression, correlations among nonlinear data with more than one independent (X) variable are determined.

Answer 28

Multiple nonlinear

Question 29

A low alpha value (increases/decreases) the chance of committing a type II error.

Answer 29

Increases

Question 30

When interpreting study results, the measure of the risk that a researcher is willing to take in rejecting a null hypothesis that is actually true is called .

Answer 30

Alpha

Question 31

A perfect positive correlation has a correlation coefficient of (value) __________________.

Answer 31

One

Question 32

In regression analysis, the line of best-fit cannot extend beyond the .

Answer 32

Data points

Question 33

A coefficient is a number between negative one and positive one that describes the degree of correlation between one variable and another.

Answer 33

Correlation

Question 34

, or the likelihood that a result is not a false negative, is equal to one minus the beta value.

Answer 34

Power