This week we were introduced to measures of central tendency and measures of
variability. Think about what you have learned and post an example of where
you would or could use any of these concepts in real life. This could be in your
profession, your dail
Question 1
1 out of 1 points
Research that analyzes a portion of an entire population is carried out on a(n):
Answer
Selected Answer:
sample.
Question 2
1 out of 1 points
In a true random sample all members of the population do NOT have a chance of select
Corry Hayward
Introduction
I was raised in a household where my parents frequently reminded me of how important
it was to set goals so that I would have something to strive for and so that I can be a successful
adult. As a youth, I established both realis
After reading Frankenstein I was left amazed by the similarities between the
monster and his creator, Victor. I think the most compelling similarity was that even
though fusing old body parts and chemicals created the monster, he still possessed human
cha
D T, a professor of linguistics at Georgetown University, wrote an article in which she
stated that the unmarked forms of most English words also convey male. She further
stated that there are no unmarked women: that women dont have the luxury that men
ha
Probabilities Calculations
This sheet is from the PHStat2 program for those who were not able to download that program from the Technology Manual CD.
Sample Space
Event B
B1
Event A
A1
A2
Totals
B2
1
1
2
Totals
1
1
2
2
2
4
Simple Probabilities
P(A1)
P(A2)
This is a procedure to conduct the one-sample z-test of a Mean.
From the problem you will need to enter the sample mean, the population [hypothesized mean], the standard deviation, the sample size, and the alpha.
Z-TEST OF A MEAN
SAMPLE MEAN
POPULATION ST
To find the area below a z score we can use NORMSDIST function.
We merely enter the z score in the box and the area below will be displayed.
a
0.674
a. Area below z = 0.45
b. Area above z = 0.45
c. Area between 2.17 and 1.42
We can also get the area above
Frequency
6
10
5
13
8
Time to Tumor Reoccurence
14
12
10
8
6
4
2
0
Fr e q uenc y
Midpoint
6.5
12.5
30.5
42.5
54.5
13
10
8
6
6.5
5
12.5
30.5
Midpoint
1. Put the class midpoints in Column A
2. Put the frequency in Column B
3. Highlight the Frequency data
4.
This procedure will give you the Margin of Error for the z distribution.
0.10919541
Note: The alpha is the complement of the confidence level, this is for the 80% confidence interval.
This procedure will give you the Margin of Error for the t distribution
Cars
Trucks
Motorcycles
Other
18440
13778
4553
823
To make a Pie Chart we use the Chart Wizard
Enter the data as I have shown here
Highlight both columns
Go to Insert and select Pie Chart
You can use any of the ones you want but this is the default chart
Basic Statistics
Standard Scores and the
Normal Distribution
Agenda
Standard Scores:
Normal Distribution:
Where does an
observation fall in
a distribution of
scores?
What is normal
and what does it
mean?
All data can be arrayed in a
distribution of data.
Basic Statistics
Measures of Variability
Measures of Variability
The Range
Deviation Score
The Standard Deviation
The Variance
STRUCTURE OF STATISTICS
Continuing with numerical approaches.
DESCRIPTIVE
TABULAR
GRAPHICAL
NUMERICAL
NUMERICAL
STATISTICS
CONFI
Basic Statistics
Measures of Central Tendency
Characteristics of Distributions
Location or Center
Can be indexed by using a measure
of central tendency
Variability or Spread
Can be indexed by using a measure
of variability
Consider the following distr
Basic Statistics
Unit Four: Regression
Simple Linear Regression
Y
X
Predicting Y from X
Recall when we looked at scatter plots in
our discussion of correlation, we showed
generally the estimate of Y given a value
for X, when the correlation was not perfe
Basic Statistics
Frequency Distributions &
Graphs
Structure of Research
(The Scientific Method)
Reviewing
Information
Identify
the
Problem
A
Systematic
Approach
Drawing
Analyzing
Conclusions
Data
Collecting
Data
STRUCTURE OF STATISTICS
TABULAR
DESCRIPTIVE
Basic Statistics
Correlation
Var
Relationships
Var
Var
Associations
Var
Var
The Need for a Measure
of Relationship
Control
Describe
INDIVIDUAL
DIFFERENCES
(Variance)
Predict
Explain
In Research
Information
Dependent
variable
X1
X2
X3
Independent
variables
Basic Statistics
The Chi Square Test of
Independence
Chi Square Test of Independence
A measure of association similar to the
correlations we studied earlier.
Pearson and Spearman are not applicable if the
data are at the nominal level of measurement.
C
Corry Hayward
Week 7 Homework Problems
1. An economist is studying the job marker in Denver area neighborhoods. Let x
represent the total number of jobs in a given neighborhood, and let y represent
the number of entry-level jobs in the same neighborhood.
Question 1
1 out of 1 points
Research that analyzes a portion of an entire population is carried out on a(n):
Answer
Selected Answer:
sample.
Question 2
1 out of 1 points
In a true random sample all members of the population do NOT have a chance of select
Corry Hayward
Week 4 Homework Problems
1. Suppose that the population standard deviation () for a normally distributed
standardized achievement test (ACT) is 6. What would the standard error of the
sample mean (xbar) be if we were to draw a random sample
Corry Hayward
Week 2 Homework Problems
1. How large is a wolf pack? The following information is from a random sample of
winter wolf packs in regions of Alaska, Minnesota, Michigan, Wisconsin, Canada,
Finland
13
2
10
3
7
15
5
4
7
4
7
2
2
8
4
7
3
8
Compute
Week 1 Homework Problems
1. Categorize these measurements, which are associated with a robotics company,
according to level of measurement: nominal, ordinal, or interval.
a. Salespersons performance: below average, average, above average.
b. Price of a co