Organizing Data

Question 1

Different types of Kurtosis

Answer 1

• Leptokurtic
• Platykurtic
• Mesokurtic

Question 2

Neither very peaked nor very flat

Answer 2

Mesokurtic

Question 3

Are rather flat

Answer 3

Platykurtic

Question 4

Are quite peaked or tall

Answer 4

Leptokurtic

Question 5

Offers an unparalleled method for exploring geographical patterns in data.

Answer 5

Maps

Question 6

The amount or rate of some variable is plotted and then these
points are connected by line segments

Answer 6

Line Charts

Question 7

The distribution is not at all skewed

Answer 7

Symmetrical

Question 8

Skewed to the right, toward the higher scores on the horizontal axis of the graph

Answer 8

Positively skewed

Question 9

Skewed to the left, toward the
lower scores on the horizontal axis of the graph

Answer 9

Negatively skewed

Question 10

Can help us to visual-
ize the variety of shapes and forms taken by frequency distributions.

Answer 10

Frequency Polygons

Question 11

Are used to display continuous measures, especially at
the interval level

Answer 11

Histograms

Question 12

Typically used to display the frequency or percentage distribution of a discrete variable,
specially at the nominal level.

Answer 12

Bar Graphs

Question 13

Are often used interchangeably, although there is a small but important difference between the two graphical techniques.

Answer 13

Bar Graphs and Histograms

Question 14

A circular graph whose slices add up to 100%, is one of the simplest methods of graphical presentation.

Answer 14

• Pie Charts
• Bar Graphs
• Histograms
• Frequency Polygons
• Line Charts
• Maps

Question 15

Different types of graphics representations

Answer 15

Pie Charts

Question 16

Columns of numbers have been known to evoke fear, anxiety, boredom, apathy, and mis-
understanding. Whereas some people seem to tune out statistical information presented in
tabular form, they may pay close attention to the same data presented in graphic or picture
form.

Answer 16

Graphic Presentations

Question 17

Formula for Percentage

Answer 17

P = f/N *100

Question 18

How do we get the percentage?

Answer 18

Compute the Proportion then Multiply it by 100

Question 19

Proportion Formula

Answer 19

P = f/N

Question 20

How to compute proportions?

Answer 20

By dividing the
number of cases in any given category f by the total number of cases in the distribution N

Question 21

Compares the number of cases in a given category with the total
size of the distribution.

Answer 21

Proportions

Question 22

It is a representation of the frequency of occurrence of each possible outcome of a variable. It helps to summarize and observe trend in a data

Answer 22

Frequency Distribution