Brainscape's Knowledge GenomeTM


Top Flashcards (Certified)
All Flashcards

NUR3300 > Chapter 12 Vocab > Flashcards

Chapter 12 Vocab Flashcards

1
Q

alpha level

A

probability of making a type I error; typically designated as 0.05 or 0.01 at the end of the tail in a distribution

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

amodal

A

a data set that does not have a mode

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

analysis of variance

A

(ANOVA) an inferential statistical test used when the level of measurement is interval or ratio and more than two groups are being compared

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

bimodal

A

a data set with two modes

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

bivariate analysis

A

the use of statistics to describe the relationship between two variables

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

Chi square

A

a common statistic used to analyze nominal and ordinal data to find differences between groups

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

coefficient of variation

A

a percentage used to compare standard deviations when the units of measure are different or when the means of the distributions being compared are far apart

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

confidence intervals

A

ranges established around means that estimate the probability of being correct

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

correlation coefficients

A

an estimate, ranging from 0.00 to +1.00, that indicates the reliability of an instrument; a statistic used to describe the relationship between two variables

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

degrees of freedom

A

a statistical concept used to refer to the number of sample values that are free to vary

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

descriptive statistics

A

collection and presentation of data that explain characteristics of variables

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

direction

A

the way two variables convary

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

heterogeneous

A

the degree to which elements are diverse or not alike

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

homogeneous

A

elements that share many common characteristics

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

independent t test

A

a variation of the t test used when data values vary independently from one another

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

inferential statistics

A

analysis of data as the basis for prediction related to the phenomenon of interest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

kurtosis

A

the peakedness or flatness of a distribution of data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

magnititude

A

the magnitude of the relationship existing between two variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

mean

A

the mathematical average calculated by adding all of the data values and then dividing by the total number of values

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

measures of central tendency

A

measures (e.g. mean, median, mode) that provide information about the typical case

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

measures of variability

A

measures providing information about how different data are within a set; measures of dispersion

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

median

A

the point at the center of a data set

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

modality

A

the number of modes found in a data distribution

24
Q

mode

A

the most frequently occurring value in a data set

25
multiple regression
an inferential statistical test used to describe the relationship of three or more variables
26
negatively skewed
a distribution when the mean is less than the median and the mode; the longer tail is pointing to the left
27
nonparametric
inferential statistics involving nominal or ordinal level data to infer to the population
28
nonsignificant
when critical values fall within three standard deviations of the mean; findings do not support the research hypothesis, findings that support the null hypothesis
29
normal distribution
a representation of data having a distinctive bell-shaped curve and is symmetric about the mean
30
parametric
inferential statistical tests involving interval- or ratio-level data to infer to the population
31
pearson's r
an inferential statistic used when two variables are measured at the interval or ration level; Pearson product--moment correlation
32
percentage distributions
descriptive statistic used to group data to make results more comprehensible
33
percentile
a measure or rank representing the percentage of cases that a given value exceeds
34
population parameters
characteristics of a population inferred from characteristics of a sample
35
position of the median
calculated by using the formula (n+1)/2, where n is the number or data values in the set
36
positively skewed
a distribution in which the mean is greater than the median and the mode; longer tail is pointing to the right
37
probability
likelihood or chance that an event will occur in a situation
38
range
the difference between the maximum and minimum values in a data set
39
sample statistics
numerical data describing characteristics of the sample
40
sampling distribution
a theoretical distribution representing an infinite number of samples that can be drawn from a population
41
sampling error
error resulting when elements in the sample do not adequately represent the population
42
semiquartile range
the range of the middle 50% of the data
43
skewed
an asymmetrical distribution of data
44
standard deviation
a measure of variability used to determine the number of data values falling within a specific interval in a normal distribution
45
statistically significant
when critical values fall in the tails of normal distributions; when findings did not happen by chance
46
statistics
describes the numerical outcomes and probabilities derived from calculations on raw data
47
Statistics
describes the branch of mathematics that collects, analyzes, interprets, and presents numerical data in terms of samples and populations
48
t statistic
inferential statistical test to determine if a statistically significant difference between the groups exists
49
tailedness
the degree to which a tail in a distribution is pulled to the left or to the right
50
type I error
occurs when the researcher rejects the null hypothesis when it should have been accepted
51
type II error
occurs when researchers inaccurately conclude that there is no relationship between the independent and dependent variables when an actual relationship does exist
52
unimodal
a data set with one mode such as a normal distribution
53
univariate analysis
the use of statistical tests to provide information about one variable
54
z scores
standardized units used to compare data gathered using different measurement scales
55
rule of 68-95-99.7
Rule stating that for every sample 68% of the data will fall within one standard deviation of the mean; 95% will fall within two standard deviations of the mean; 99.7% of the data will fall within three standard deviations of the mean
56
correlated t test
a variation of the t test used when there is only one group or when the groups are related; paired t test

NUR3300 (20 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2025 Bold Learning Solutions. Terms and Conditions