Lecture 5 Flashcards

1
Q

an element, feature, or factor that is liable to vary or change

A

factor

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

a quantity that during a calculation is assumed to vary or be capable of varying in value

A

mathematics variable

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

a data item that may take on more than one value during the runtime of a program

A

computing variable

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

4 scale of measurement data types

A

nominal, ordinal, continuous(interval and ratio)

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

a measurement scale based on the classification of an observation according to the group to which it belongs – a process of categorization

A

nominal

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

examples of nominal classification

A

gender, political party, martial status

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

a measurement scale based on the classification of an observation according to its relationship to other observations

A

ordinal

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

examples of ordinal classification

A

poor, fair, good rating scale

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

numbers can represent __ and __ scale values but just because numbers are used doesn’t mean that they represent “true numbers” that can be added and subtracted

A

nominal and ordinal

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

a measurement scale characterized by equal units of measurement, zero point is arbitrary, the distance between any two numbers is of known size

A

interval

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

examples of interval classification

A

fahrenheit and centigrade temp scales

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

a measurement scale characterized by equal units of measurement and a true zero point at its origin

A

ratio

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

examples of ratio classification

A

mass, time

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

populations use __ for constants, not variables

A

greek symbols

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

samples use __ for variables

A

roman characters

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

measures of location or central tendency

A

mode, median, mean

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

the value of the most frequent measurement, most useful with the nominal scale, but may be used with any scale, there could be more than one

18
Q

the value of the measurement that falls in the middle when the measurements are arranged in order of magnitude

19
Q

the point at which or below which 50% of the measurements fall

20
Q

probably most useful with the ordinal scale, but may be used with higher order scales

21
Q

the arithmetical average, the sum of the measurements divided by the total number of measurements

22
Q

most useful with interval or ratio measurements scales

23
Q

range, interquartile range, variance, standard deviation, coefficient of variation, standard error of the mean

A

measures of variability or dispersion

24
Q

the difference between the largest and smallest measurements

25
Xmax - Xmin
range
26
X25th percentile - X75th percentile
interquartile range
27
s^2, MS, mean square
variance
28
the average of the square of the deviations of the measurements about their mean
variance
29
__ is considered in terms of the distance of each measurement from the mean, generally associated with the term "degrees of freedom, df)
variance
30
variance is determined by
find mean, subtract this mean from each measurement and square the result to eliminate negative numbers
31
the sum of squared in the first two steps on determining the variance is called ___
sum of squares
32
dividing the sum of squares in variance by the number in the smaple inus one gives us the __, gives us an unbiased estimate of the population variance
sample variance
33
the positive square root of the variance
standard deviation
34
the standard deviation is calculated by taking the square root of the
square root of the variance
35
measures the percentage of spread, unitless, allows for caparisons
coefficient of variation
36
states that the sampling distribution of the mean of any independent, random variable will be normal or nearly normal, if the sample size is large enough
central limit theorem
37
if we took several samples from a population, calculated the mean of each sample, and then calculated the SD of these sample means, we would have
the standard error of the mean
38
can be calculated from a single sample by dividing the SD by the square root of N
standard error of the mean
39
an estimate of the variability of individual measurements within a sample, also is used to measure variability of individual subjects around a sample mean
standard deviation
40
an estimate of the variability of sample means about the population mean, also is used to assess how accurately a sample mean reflects a population mean
standard error of the mean