BIOSTATS: PARAMETRIC TESTS Flashcards

1
Q

The Pearson product moment correlation must be used on relationships.

A

Linear

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

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

A

Scattergram

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

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

A

Multiple

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

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

A

Simple nonlinear regression

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Logistic regression can be binomial, ordinal, or .

A

Multinomal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

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.

A

Confidence

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

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

A

Sample size

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

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

A

Larger

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

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

A

Zero

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

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

A

Type 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

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

A

Decreases

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

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

A

Simple linear regression

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

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

A

Logistic

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Logistic regression predicts the ____________ of particular outcomes.

A

Probability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

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

A

Logistic

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

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

A

Spearman rank-order

17
Q

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

A

Beta

18
Q

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

A

ETA-squared

19
Q

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

A

Pearson product moment

20
Q

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.

A

Determination

21
Q

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

A

Negative

22
Q

In logistic regression, the dependent variable is .

A

Categorical

23
Q

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

A

Regression to the mean

24
Q

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

A

Type II

25
Q

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

A

Dependent

26
Q

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

A

Increased

27
Q

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

A

Multinominal

28
Q

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

A

Multiple nonlinear

29
Q

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

A

Increases

30
Q

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 .

A

Alpha

31
Q

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

A

One

32
Q

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

A

Data points

33
Q

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

A

Correlation

34
Q

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

A

Power