Download presentation

Presentation is loading. Please wait.

Published byCameron Robinson Modified over 3 years ago

1
Agenda of Week V. Dispersion & RV Objective : Understanding the descriptive statistics Understanding the random variable and probability Week 4 1 Graphs Descriptive Descriptive 2 Dispersion Definition Probability Normal distribution Random variable 3

2
Review of Week IV Objective : Understanding the graphical illustration of data Understanding the descriptive statistics Definition Types Measurement Graphs 1 Descriptive 2 Central tendency Dispersion

3
Dispersion o How varied are observations? Table 4.9 o Range Difference between the largest (maximum) and smallest (minimum) observations: Eq. 4.7 o Inter-quartile range: Figure 4.24 Difference between the third and first quartiles On box plot

4
Dispersion o Variance and Standard deviation Average of the squared discrepancies of these values from their mean: Eq. 4.8, 4.9 Characteristics: p.130 Unbiasedness: Relation between population parameter and mean of corresponding statistics Degree of freedom

5
Dispersion o MAD Equation (4.14) o SPSS illustration Table 4.3

6
Central Tendency vs. Dispersion o Bear Markets P.131 Table 4.11

7
Random Variable o Definition A function that assigns a numerical value to each outcome in the sample space of a random experiment o Examples Variable indicating the number of hits in at 5 bats Variable indicating the number of red balls when we draw 3 balls from a bag with 3 blue balls and 2 red balls Variable indicating the height of high school student

8
Random Variable o Discrete random variable R.V. can have only discrete values (such as integers and natural numbers) as its values o Continuous random variable R.V. can have continuous values or interval as its values

9
Probability o Definition Possibility of happening a result from an event P(X=a) = P X (a): Probability that result a happens o Properties

10
Probability Distribution o Role Determination of probability for each value of r.v. pdf. vs. cdf: Figure 6.5 o Expected value and Variance p.219 Example 6.3

11
Normal Distribution o Most broadly used distribution Characteristics: Table 7.2 pdf. and cdf.: Figure 7.7, 7.8 A continuous scale Clear central tendency Tapering tails Symmetric about the mean Example: p.261

12
Normal Distribution o Importance Parametrics vs. nonparametrics Starting point of all kinds of statistics analyses Normality test o Empirical rule Figure 7.20

Similar presentations

Presentation is loading. Please wait....

OK

Edpsy 511 Homework 1: Due 2/6.

Edpsy 511 Homework 1: Due 2/6.

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Ppt on mercury and venus Ppt on creativity and innovation management Ppt on time management for students Ppt on charles dickens and his life Ppt on different mode of transport Ppt on bagasse cogeneration plant Download ppt on oxidation and reduction definition Download ppt on area related to circles for class 10 Ppt on causes of 1857 revolt Ppt on obesity prevention and awareness