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Summary Descriptive Statistics

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This document summarizes Descriptive Statistics, a topic in Computer Science. It covers all subtopics in Descriptive Statistics.

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Computer Science


Topic 1. Descriptive
Statistics


1)The Mean:
Overview of Mean
● The mean is a measure of central tendency in a population or
sample.
● It is denoted by the Greek letter mu and is calculated by summing
all the observations and dividing by their total number.
● For samples, the lowercase n is used instead of an uppercase N.

Mean in Action
● To find the mean of a sample, add all the observations and divide
by the total number of observations.
● For example, the mean of the sample 10, 28, 33 and 54 is 30.6.
● As a convention, the mean is provided to one more decimal place
than the original data set was given in.

Advanced Mean

, ● To calculate a weighted mean, multiply each observation by its
frequency and divide by the total number of observations.
● This can also be expressed as summing the products of the
observations and their frequencies, divided by the sum of the
frequencies.
● The mean can also be calculated for categorical variables.
● Finally, a challenge question can be posed to test understanding of
the mean.

Formula for calculating mean
● A formula for calculating the mean looks ugly but should be quite
intuitive.
● It involves multiplying all the values of X by their frequencies and
summing them up, then dividing by the sum of all frequencies.



Calculating mean of categorical data set
● It is possible to find the mean of a categorical data set by defining
all the females as ones and males as zeros, making it a numerical
data set.
● To calculate the mean, add up all of those values and divide by the
total number of values.
● The mean of a binary variable gives you the proportion of the
category that we defined as 1.

Georgia's challenge
● Georgia's challenge is to calculate her weighted average mark that
she's got from her statistics degree thus far.
● She has done 4 subjects and has marks and credit points for each
of them.
● To calculate her weighted average mark, she must incorporate the
credit point information.

, 2) Arithmetic Mean | Geometric
Mean | Harmonic Mean:
Introduction the Mean
● The earliest reference to the word "mean" comes from the 1300s
French, and was initially used to describe the middle point
between two musical notes.
● The basics of calculating the mean are straightforward: using the
Greek letter x-bar to represent the sample mean, and the Greek
letter mu to represent the population mean.

Calculating the Mean
● To calculate the sample mean, the sum of the observations
(indicated by the Greek letter sigma) must be divided by the
number of observations (indicated by the letter n).
● An example of calculating the mean is given, showing the average
height of five professional basketball players as 2.03 meters.
● This mean is an estimate of the true, unknowable population
mean.

Other Types of Means
● Other types of means include the geometric mean which involves
finding the product of the observations and taking the nth root of
the product.
● The harmonic mean involves inverting the observations, finding the
average of the inverted observations, and then inverting the
average.
● The arithmetic mean is the one used most often, and is what has
been referred to as "mean" up to this point in the video.

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