Stat 114 Chap 5

Front 1

The first step in data analysis

Back 1

Organization of data

Front 2

Two common forms of organized data

Back 2

Array

Frequency distribution

Front 3

Refers to the arrangement of observations according to magnitude

Back 3

ARRAY

Front 4

Summarized the number of observations that belong in different classes

Back 4

FREQUENCY DISTRIBUTION

Front 5

Through ________ of data, important features of data become clear and apparent

Back 5

ORAGANIZATION

Front 6

Through ________ of data, important features of data become clear and apparent

Back 6

ORAGANIZATION

Front 7

Refers to the actual data; data that have not yet been organized or processed in any manner; data in their original form

Back 7

RAW DATA

Front 8

Through ________ of data, important features of data become clear and apparent

Back 8

ORAGANIZATION

Front 9

Refers to the actual data; data that have not yet been organized or processed in any manner; data in their original form

Back 9

RAW DATA

Front 10

Sorted or ordered data; ordered arrangement of data according to magnitude

Back 10

ARRAY

Front 11

True or False

Array is a summarized data

Back 11

False

Front 12

Refers to the lower end number

Back 12

Lower class limit

Front 13

Refers to the upper end number

Back 13

Upper class limit

Front 14

Refers to the class interval without lower class limit or without upper class limit

Back 14

Open class interval

Front 15

Refers to the true class limits

Back 15

Class boundaries

Front 16

It is halfway between the LCL of the class and UCL of the preceeding class

Back 16

LOWER CLASS BOUNDARY

Front 17

It is halfway between the UCL of the class and the LCL of the next class

Back 17

UPPER CLASS BOUNDARY

Front 18

Refers to the size of the class interval

Back 18

Class size

Front 19

Can be obtained by getting the difference between the (1) LCL of the next class and LCL of the class or (2) UCL of the class and UCL of the preceding class

Back 19

CLASS SIZE

Front 20

Is the midpoint of a class interval

Back 20

CLASS MARK

Front 21

The numbers defining the class

Back 21

Class interval

Front 22

True or False

Raw data and array is a grouped data

Back 22

False

Front 23

First step in constructing a frequency distribution

Back 23

Determine the adequate number of classes, K

Front 24

Give the STURGES’ FORMULA

Back 24

K = 1 + 3.322logn

Front 25

Second step in constructing a frequency distribution is determining the _______

Back 25

Range = Max - Min

Front 26

Third step in constructing a frequency distribution is computing for _________

Back 26

C’ (CLASS SIZE)

Front 27

Formula for class size

Back 27

R/K

Front 28

Fourth step in constructing a frequency distribution is to determine C’ by ____________ C’ to a convenient number (5,10,15,...)

Back 28

Rounding-off

Front 29

Way of organizing data wherein we do not see the actual observed values

Back 29

Frequency distribution

Front 30

Two general forms of frequency distribution

Back 30

Single-value grouping

Grouping by class intervals

Front 31

A frequency distribution where the classes are distinct values of the variable

Back 31

Single-value grouping

Front 32

A frequency distribution where the classes are the intervals

Back 32

Grouping by class intervals

Front 33

True or false

There are strict rules in identifying the class intervals of the frequency distribution

Back 33

False

Front 34

Refers to the range of values that belong in the class or category

Back 34

Class interval

Front 35

Refers to the number of observations that belong in a class interval

Back 35

Class frequency

Front 36

The end numbers used to define the class interval

Back 36

Class limit