Lecture 4: Descriptive Data Analytics

Question 1

? Statistics: describe t’ data as it is

Answer 1

Descriptive Statistics: describe t’ data as it is

Question 2

Inferential Statistics:

Draw inferences about the ? based on a ? data

Answer 2

Inferential Statistics:

Draw inferences about the population based on a sample data

Question 3

Mean: ?

Answer 3

Mean: arithmatic (i.e. not weighted) average

Question 4

Mode: the ? observation

Answer 4

Mode: the most frequent observation

Question 5

Median: the ?

Answer 5

Median: the number in the middle

Question 6

Dispersion: ??? of a given variable

Answer 6

Dispersion: degree of variation of a given variable

Question 7

Range: ??

Answer 7

Range: Min - Max

Question 8

Variance or Standard Deviation: ?????

Answer 8

Variance or Standard Deviation: how far the majority of the data is away from the average (i.e. the mean)

Question 9

Normally distributed data: ?-shaped

Answer 9

Normally distributed data: bell-shaped

Question 10

Histogram: ? chart

Answer 10

Histogram: frequency chart

Question 11

Skewness: measure of ?
? < Skewness < ? : data is normally distributed
Data can be skewed (i.e. not normal) because of ?.

Answer 11

Skewness: measure of Asymmetry
-1.96< Skewness < 1.96 : data is normally distributed
Data can be skewed (i.e. not normal) because of outliers.

Question 12

Kurtosis:
? / ? / ? nature of t’ distribution
? < Kurtosis < ?: Data is normally distributed

Answer 12

Kurtosis:
Peak/ Tall/ Skinny nature of t’ distribution
-3 < Kurtosis < 3: Data is normally distributed