Best Practice in Software Selection:
An Enhanced Approach to Software Selection
for Behavioral Health & Social Services
Organizations
Joseph Naughton-Travers, Ed.M., Senior Associate, OPEN MINDS
OPEN MINDS 2010 Best Management Practices Institute
February
MEASURES OF CENTRAL TENDENCY
DATA TYPES
Type 1
X
10
12
15
(Individual items)
Type 2
X f
20 4
25 6
30 2
(Discrete series)
Type 3 (Group data)
There are two different group data's
(1)Continuous group data
X
F
10-20 4
20-30 6
30-40 2
(2)Discontinuous group d
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SHORT NOTES
FOR
BUSINESS
STATISTICS
I.COM PART 2
THE RANA
ACADENY
SUFYAN BUTT
2
SUFYAN BUTT
STATISTICS DEFINITIONS
I.COM PART 2
THE RANA ACADEMY
1. About Word Of Statistics
The word statistics seems to have been derived from the Latin word Status or
Chapter Thirteen
13.1A regression model that includes only two variables, one independent and one dependent, is called a simple
regression model. The dependent variable is the one being explained and the independent variable is
the one used to explain the
Chapter Thirteen
13.1
A regression model that includes only two variables, one independent and one dependent, is called a
simple regression model. The dependent variable is the one being explained and the independent
variable is the one used to explain th
Chapter Eleven
11.1
See box on page 512 of the text.
11.2
For df = 12 and .025 area in the right tail:
2 = 23.337
11.3
For df = 28 and .05 area in the right tail:
2 = 41.337
11.4
For an area of .10 in the left tail, the area in the right tail is 1 .10 = .
Chapter 8: Statistical Inference: Estimation for Single Populations 1
Chapter 8
Statistical Inference: Estimation for Single Populations
LEARNING OBJECTIVES
The overall learning objective of Chapter 8 is to help you understand estimating
parameters of sin
Chapter Twelve
12.1
See description in the box on page 556 of the text.
12.2
a. From the F distribution table, the critical value of F for 6 df for the numerator, 12 df for the
denominator, and .05 area in the right tail is: F = 3.00
b. From the F distrib
Chapter Seven
7.1
The probability distribution of the population data is called the population distribution. Tables 7.1 and
7.2 on page 309 of the text provide an example of such a distribution. The probability distribution of a
sample statistic is called
Chapter Ten
10.1
The two samples are independent if they are drawn from two different populations and the elements of
the two samples are not related. As an example, suppose we want to estimate the difference between
the salaries of male and female univer
Chapter Eleven
11.1
See box on page 512 of the text.
11.2
For df = 12 and .025 area in the right tail:
2 = 23.337
11.3
For df = 28 and .05 area in the right tail:
2 = 41.337
11.4
For an area of .10 in the left tail, the area in the right tail is 1 .10 = .
Chapter Twelve
12.1
See description in the box on page 556 of the text.
12.2
a. From the F distribution table, the critical value of F for 6 df for the numerator, 12 df for the
denominator, and .05 area in the right tail is: F = 3.00
b. From the F distrib
Chapter Nine
9.1
a. The null hypothesis is a claim about a population parameter that is assumed to be true until it is
declared false.
b. An alternative hypothesis is a claim about a population parameter that will be true if the null
hypothesis is false.
Chapter Six
6.1
The probability distribution of a discrete random variable assigns probabilities to points while that of a
continuous random variable assigns probabilities to intervals.
6.2
The probability that a continuous random variable
x assumes a sin
Chapter Eight
8.83
n 100,
x $273, , and s $60;
therefore
s x s / n 60 / 100 6
a. Point estimate of x $273
1
1
$
Margin of error .96 s x .96(6) 11.76
b. The 95 % confidence interval for is:
8.84
x zs x 273 1.96(6) 273 11.76 $261.24 to $284.76
n 100,
then
x