Statistics Chapter 2

Front 1

The count or number of times something occurs in a data set

Back 1

Frequency (n)

Front 2

A table that presents the frequency for each category

Back 2

Frequency distribution (N)

Front 3

The porportion of observations in each category is called the

Back 3

Relative frequency

Front 4

The ______________frequency of a category is the frequency of the category divided by the sum of all the frequencies (sample size);

Back 4

Relative frequency= Frequency/Sum of all Frequencies

Front 5

True or false: The porportion of subjects with with the characteristic is the relative frequency

Back 5

True

Front 6

A Table that presents the relative frequency of each category is called the

Back 6

Relative frequency distribution (PIE CHART)

Front 7

Variable = Category

Value= What goes in the variables place (eg) x(variable) could equal 3 (value)

Back 7

True

Front 8

Bar graph is a praphical representation of a frequency distribution

Back 8

True

Front 9

Bargraphs, pie charts, etc help illustrate a ______________ distribution

Back 9

Frequency

Front 10

Pareto chart is nominal Qualitative because it goes from ______________ to _____________

Back 10

largest to smallest

Front 11

_______________ chart is arranged by height

Back 11

Pareto

Front 12

*Side by side bar graph*

Back 12

two bar graphs that have the same categories

Front 13

______ chart is great for displaying relative frequency information

Back 13

Pie

Front 14

Since there are 360 degrees in a circle, we multiply the relative frequency of the category by _____ to determine the number of degrees in the sector for that category.

Back 14

360

Front 15

"Mode" means

Back 15

most frequent

Front 16

_______must always be included on the vertical (frequency scale)

Back 16

zero

Front 17

Widths of all bars in a bar graph must be equal

Back 17

True

Front 18

Don't illustrate 1 dimensional differences in ____

Back 18

2D

Front 19

In a data set, the number of items that are in a particular category is called the

Back 19

frequency

Front 20

In a data set, the proportion of items that are in a particular category is called the

Back 20

relative frequency

Front 21

A ___________ is a bar graph in which the bars are ordered by size

Back 21

Pareto

Front 22

A ___________graph is represented by a circle in which the sizes of the sectors match the relative frequencies of the categories.

Back 22

Pie

Front 23

T or F: In a frequency distribution, the sum of all frequencies is less than the total number of observations.

Back 23

False

Front 24

T or F: In a pie chart, if a category has a relative frequency of 30%, then its sector takes up 30%of the circle

Back 24

True

Front 25

The relative frequency of a category is equal to the frequency divided by the sum of all frequencies

Back 25

True

Front 26

In bar graphs and Pareto charts, the widths of the bars represent the frequencies or relative frequencies.

Back 26

False (they represent the categories)

Front 27

Bar graphs, pareto charts and pie charts are all graphical devices for displaying ___________ data

Back 27

Quantitative

Front 28

Data is divided into

Back 28

Classes with no order so this data is quantitative

Front 29

Relative frequency of a class is given by

Back 29

Relative frequency=Frequency/Sum of all frequencies

If 9 students out of 65 love Starbucks, the relative frequency is

eg: ( 9/65=0.138)

Front 30

Lower Class limit

Back 30

of a class is the smallest value that can appear in that class

eg: out of 1, 8, 50, the lowest class limit is 1

Front 31

Upper Class limit

Back 31

of a class is the largest value that can appear in that class

eg: out of 2, 6, 80, the upper class limit is 80

Front 32

Class width

Back 32

is the difference between consecutive lower limits

eg: Maximum limit-Minimum limit/# of classes

Front 33

Choosing classes:

Back 33

*Each category must fall into one class

*Class must not overlap

*Equal width

*No gaps between classes (even if no observations occur in a class, it must be included in frequency distribution)

Front 34

Bargraph for quantitative frequencies with no gap between bars

Back 34

histogram

Front 35

Histograms based on frequency distributions

Back 35

frequency histograms

Front 36

Histograms based on relative frequency histograms

Back 36

relative frequency histograms

Front 37

Left edge of each rectangle corresponds to the

Back 37

lower class limit

Front 38

Tails on both side is

Back 38

Symmetric

Front 39

Class width is:

Back 39

difference in consecutive class lower limits:

eg: left lower limit -previous consecutive lower limit.

Front 40

Skewed to the right

Back 40

positively skewed

Front 41

Skewed to the left

Back 41

negatively skewed

Front 42

A peak or high point of a histogram is a

Back 42

mode

Front 43

unimodal means it has

Back 43

one mode

Front 44

bimodal means it has

Back 44

two modes

Front 45

Mid point is calulated by

Back 45

adding lower class limits and divide by 2

Front 46

Class midpoints is

Back 46

the "average" of consecutive class lower limits or left ends

Front 47

Class width is the difference between

Back 47

consecutive class lower limits

Front 48

Mode is the ________point

Back 48

highest point

Front 49

How to Plot a Histogram

Back 49

1. STAT, EDIT & ENTER #'S

2. 2ND-Y=-STAT PLOT

3. TURN PLOT 1 "ON"

4. HIGHLIGHT HISTOGRAM BUTTON

5. CHANGE "WINDOW"

X MIN=SMALLEST CLASS LOWER LIMIT

X MAX=____LARGER NUMBER THAN YOUR LARGEST NUMBER

XSCL=CLASS WIDTH ____

GRAPH

Front 50

How to Find mean/median on TI-84

Back 50

1.STAT-EDIT-ENTER DATA

2.STAT-CALC-"1" VARIABLE STATS

3. X WITH BAR OVER = MEAN (AVERAGE)

4. SCROLL DOWN TO GET TO MEDIAN