Stats 1 Test

Front 1

Statistics

Back 1

Set of tools to collect, organize, summarize, analyze and draw conclusions from data

Front 2

Descriptive Stats

Back 2

Collection, organization, summarization and presentation of data

Front 3

Inferential Stats

Back 3

Inferences from sample to population uses probability to draw conclusions

Front 4

Data

Back 4

numbers, observations, that replace the random variables.

Front 5

Population

Back 5

everything involved in your study

Front 6

Sample

Back 6

apart of your population

Front 7

Probability

Back 7

#of succeses divided by the number of choices

Front 8

Variable

Back 8

a characteristic or attitude that can assume different values

Front 9

Qualitative Variables

Back 9

Can be placed into distinct categories according to some characteristic or attribute.

Front 10

Quantitative Variable

Back 10

Numerical and can be ranked

Front 11

Discrete

Back 11

Assume values that can be counted

Front 12

Continuous

Back 12

Assumes values between any two specific obtained by measuring

Front 13

Measurement scale 4

Back 13

Nominal
Ordinal
Interval
Ratio

Front 14

Types of Sampling

Back 14

Random
Systematic
Stratified
Cluster

Front 15

Observational Study

Back 15

Observe what is happening or what has happened- draw conclusions

Front 16

Experimental study

Back 16

researcher manipulates one of the variables and tries to determine how to manipulation influences other variables.

Front 17

Frequency Distribution

Back 17

Organization of raw data in a table form, using classes and frequencies.

Front 18

3 Types of frequencies

Back 18

A) Categorical= qualitative
B) Grounded= large range
C) Ungrounded= small range

Front 19

Class Width

Back 19

Range/# of classes you choose

Front 20

Histogram

Back 20

(Class boundaries, class frequency)

Front 21

Frequency polygon

Back 21

(mid point, class frequency)

Front 22

Ogive

Back 22

(class boundaries, cumulative frequency)
When your interested in more then 1 class

Front 23

Relative Frequency equation

Back 23

# of frequency compared to total=%
#/ total of all frequencies

Front 24

Relative Frequency

Back 24

Distributions using proportions instead of raw data as frequencies.
Compare 2 different things

Front 25

What relative frequencies sum is..

Back 25

one

Front 26

Steam and leaf..
y use

Back 26

Small data and large range

Front 27

Measures of central Tendency 4

Back 27

Mean, Median, Mode and midrange

Front 28

Measures of variation 3

Back 28

Range, variance, standard deviation

Front 29

Measures of position 2

Back 29

Percentiles, Quantiles

Front 30

Data Analysis 2

Back 30

Box plot, 5 # Summary

Front 31

A characteristic of a sample

Back 31

Statistic

Front 32

A Characteristic of a population

Back 32

Parameter

Front 33

What 3 things keep in mind when summarizing data

Back 33

Center-spead-shape

Front 34

Population Mean

Back 34

m

Front 35

Sample Mean

Back 35

x

Front 36

Mid range

Back 36

lowest value + highest value /2

Front 37

Symmetrical

Back 37

Mean median and mode equal

Front 38

Positive skew

Back 38

mean, median, mode
large smaller smallest

Front 39

Negative Skew

Back 39

Mode, median, mean
large smaller smallest
Data tends to be towards the end of the data(higher numbers)

Front 40

Variance

Back 40

Take number - average of all numbers and then square it

Front 41

Standard deviation

Back 41

Square root of the variance

Front 42

Uses of variance and standard deviation

Back 42

1)determines the spread of the data
2) Compares 2 or more sets of data
3) Determines the consistency of the data
4) No. of data values that fall within a specified interval

Front 43

Variance def

Back 43

The average of the equare of the distance that each value is from the mean

Front 44

Coefficient of variation

Back 44

Standard deviation / mean X 100
allows u 2 compare 2 things

Front 45

Z score

Back 45

Value-mean/ standard deviation
-It represents the # of standard deviations that a data value falls above or below the mean
Z > 0 above mean
Z=0 same mean
Z< 0 below mean

Front 46

Percentiles

Back 46

% the data set into 100 equal groups

Front 47

Random Variable

Back 47

Phenomenon which can assume different values

Front 48

Stratified Sample

Back 48

Divides sample into subsets possessing a certain characteristic

Front 49

Data

Back 49

Numbers, observations that replace the random variables

Front 50

Relative Frequency

Back 50

To convey a frequency into a proportion or relative frequency