CHAPTER 5:

Question 1

also known as organized data or sorted data

Answer 1

array

Question 2

original form or order of data based on observation.

Answer 2

raw data

Question 3

it classifies data frequency to specific/distinct values, it is called

Answer 3

Single Value Grouping.

Question 4

it classifies data frequency into groups or interval, it is called

Answer 4

Grouping by Class Intervals

Question 5

range of values in a category

Answer 5

Class interval

Question 6

number of observations in a class interval.

Answer 6

Class frequency

Question 7

it is the end numbers of a class interval.

Answer 7

Class limits

Question 8

this is the size of the class interval.

Answer 8

Class size [UCL of the class – UCL of the previous class]

Question 9

also known as true class limits.

Answer 9

Class boundaries

Question 10

midpoint of a class interval.

Answer 10

Class mark – [(LCL+UCL)/2]

Question 11

How to compute for the approximate class size

Answer 11

C’=R/K

Where,
R is the range
K = 3.322 log n (Sturges’ Formula)

Question 12

What is Relative Frequency

Answer 12

proportion of the frequency to the total number of observations.

Question 13

What is Less than cumulative frequency distribution (<CFD)

Answer 13

shows the # of observations with values smaller than the UCB of a selected interval

Question 14

What is greater than cumulative frequency

Answer 14

shows the # of observations with values greater than the LCB of a selected interval.

Question 15

What is the difference between the frequency histogram and relative frequency histogram

Answer 15

Similarities
-Both uses bar chart with no spaces in between
-Both has class boundaries as their x axis

Differences
-FH uses frequemcy
-RFH uses relative frequency (expressed in decimals)

Question 16

What is frequency polygon

Answer 16

-Line graph
-Uses class marks as x axis
-The polygon is closed (plots 0 from the start and at the end)

Question 17

THis is the plot of the cumulative frequency distribution

Answer 17

Ogive