Applied Statistics Lecture 1
Difference between Math and Statistics:
Math doesn't accept errors, but not always
applicable in real life.
On the other hand, statistics accepts errors
yet it is applicable to real life.
A sample is a condensed portion of the

Applied Statistics Lecture 3
Applied Statistics Lecture 3
Page1 of 16
Applied Statistics Lecture 3
Important Note:
If the data contains an extreme value, then the
data is definitely skewed.
But if it doesn't contain any extremes, this doesn't
mean that da

Theoretical Questions
(Q1) Define the following terms briefly.
1. The Central Tendency measures.
2. The Dispersion measures.
3. The first quartile.
4. The continuous random variable. State some examples.
5. The discrete variable. State some examples.
6. T

Applied Statistics Sheet Answers
Applied Statistics Sheet Answers
Page 1 of 23
Applied Statistics Sheet Answers
Theoretical Questions
(Q1) Define the following terms briefly.
1. The Central Tendency measures.
It is a value that is used to summarize a larg

Applied Statistics Brief Summary
Applied Statistics Brief Summary
Page 1 of 11
Applied Statistics Brief Summary
Sources of Data
Population (Consumes time and cost)
Published Data
Sample
Quota
Sample
Population has a specific
frame
Random
Accurate
Quot

Applied Statistics - Lecture 2
Statistical measures:
Central Measures (Location Measures) (Position
Measures)
Used to summarize a large number of data with
ONE value which is the central value. (example:
average values)
Rough values but not exact (between