Score/Rating:
Name: _ Subject: _ Time Schedule: _
Plate No. _
I.
Discuss the differences of mean, median and mode in terms of data values and utilization.
Mean is also called average. It is the sum of a set of data divided by the number of data. It
consid

Score/Rating:
Name: Alyenna Kate Cifra Subject: Probability and Statistics Time Schedule: TTh 1-2:30
Plate No. 6
I. Differentiate the types of skewness.
II.
Positive skewness
A series is said to have positive skewness when the following characteristics ar

Chapter 6
Measures of Variability
Dr. Albert B. Jubilo
Objectives
1.
2.
3.
4.
At the end of this chapter, the students
will be able to:
discuss the importance of the measures
of variability;
compute the range, mean deviation and
interquartile deviation;
c

Chapter 5-2
Measures of Central Tendency
and Locations
Dr. Albert B. Jubilo
Objectives
At the end of this chapter, the students
will be able to:
1. describe the skewness and kustosis; and
2. calculate quartiles, deciles & percentiles.
Skewness Defined
Ske

Chapter 5
Measures of Variability
In statistics, variability (also called dispersion, scatter, or spread)
denotes how stretched or squeezed is a distribution.
At the end of this chapter, the students will be able to: (1)
discuss the importance of the meas

Chapter 5
Measures of Central Tendency and Locations
To obtain a more objective summary description and a
comparison of data sets, we must go one step further and
obtain numerical values for the location or center of the data.
At the end of this chapter,

Skewness and Kurtosis
Skewness is the measure of the lack of symmetry of a
distribution. When the spread of the measurements is greater
on one side than the other side of the point of central tendency,
the distribution is said to be skewed.
A distribution