Chapter 1
Introduction
Definition of Statistics (page 3)
Definition 1.1.
Statistics is the branch of science that deals
with the collection, organization, analysis,
interpretation and presentation of data.
Chapter 1. Introduction
1
Definition of Statistic
Summary Measures
Summary Measures
Describing Data Numerically
Central Tendency
Quartiles
Variation
Shape
Arithmetic Mean
Range
Skewness
Median
Interquartile Range
Kurtosis
Mode
Variance
Geometric Mean
Standard Deviation
Coefficient of Variation
Functions
Frequency Distribution
OBJECTIVES:
Acquire knowledge on the
basic concept of frequency
distribution table, range,
class width, class limits,
class boundaries, and class
marks.
Identify the class size,
class marks, class
boundaries, and class limits
for t
Counting Theorems, Permutation
and Combination
Basic Probability Concepts
The concept of probability is frequently encountered in
everyday communication.
For example, a physician may say that a patient has a 50-50
chance of surviving a certain operation.
IE121 SEATWORK 1
3rd QT 2015 2016
I. Sampling (10pts each)
Identify the population and the sample, and then reflect on whether the sample is likely to yield the
information desired. Explain thoroughly. (Discuss in at least 3 sentences)
1. Jozel wants to k
EXERCISES
Exercise 1: Descriptive or Inferential Statistics
Know the different flavors of Magnolia Ice
Cream.
Number of Board Passers
Prediction by a dentist about the teeth that are
susceptible to have cavity or damage in future.
Individual Performan
Summary Measures
Summary Measures
Describing Data Numerically
Central Tendency
Quartiles
Variation
Shape
Arithmetic Mean
Range
Skewness
Median
Interquartile Range
Kurtosis
Mode
Variance
Geometric Mean
Standard Deviation
Coefficient of Variation
Functions
Probability Distribution
Continuous Probability Distributions
A continuous random variable can assume any value in an
interval on the real line or in a collection of intervals.
It is not possible to talk about the probability of the random
variable assumi
IE121 OLA2
3rd QT 2015 2016
Compute and convert all answers to decimals. (Use 4 decimal places)
1. A jewelry box contains 7 white pearl, 3 gold rings and 5 silver rings. What are the odds against
drawing a white pearl from the jewelry box? (3pts)
ANS:
No.
Probability Distribution
Probability Distribution
A variable is a symbol (A, B, x, y, etc.) that can take on any of a
specified set of values
When the value of a variable is the outcome of a statistical
experiment, that variable is a random variable.
Ge
Counting, Permutation and
Combination Drills
Counting
A password consists of two letters of
the alphabet followed by three digits
chosen from 1 to 9. Repeats are not
allowed. How many different possible
passwords are there?
ANS: 26x25x9x8x7 = 327,600
Coun
Discrete Probability
Distribution
Examples
Binomial Probability
If you toss a coin 30 times, whats
the probability of getting exactly 8
tails?
ANS: b( 8,30, 0.5) = 30C8 x 0.58 x 0.522 = 0.0055
Binomial Probability
As voters exit the polls, you ask a repre
4-1
STATISTICS for the
Utterly Confused, 2nd ed.
SLIDES PREPARED
By
Lloyd R. Jaisingh Ph.D.
Morehead State University
Morehead KY
4-2
Chapter 4
Data Description Numerical
Measures of Position for
Ungrouped Univariate Data
4-3
Objectives
Introduction of so