1)One way ANOVA is the appropriate statistical test when there is one nominal independent variable with at least 3 levels; one sacle DV, and either between groups or within groups design 2)One way ANOVA

Null Hypothesis: No differences between population means.
µ1=µ2=µ3
Alternative Hypothesis: At least one pop mean is different from at least one other pop mean. (Can’t use symbols) 3)Numerator of the F statistic measures between groups variance (MSbetween) 4)Denominator of the F statistic measures within groups variance (MSwithin) 6)A priori test: planned ahead of time, before you collect data decide on test, based on reasoning Post hoc: choose after you look at data; based on data, choose groups you want to compare; usually harder to find significant difference with a post hoc test than an a priori test 7)Tukey HSD tells you which group is significantly different from the others. 8)Effect size (R2) tells you proportion of variance in the DV that is accounted for by the IV Small: 0.01

Medium: 0.06
Large: 0.14
9)Repeated measures ANOVA is appropriate when you have a within groups design with one IV. 10)
In repeated measures ANOVA, can’t calculate SSwithin directly, need to calculate SSsubjects and then subtract SS¬between and SSsubjects from SStotal to find SS¬within. Makes SSwithin smaller. 11)

MSwithin will be smaller because take out variability due to subjects. Means F-value will be bigger and makes it more likely to reject null. Much more powerful test then between groups ANOVA.

12)
Assumptions: One way between groups ANOVA
•Random selection of samples
•Normal distribution of DV in pop
•Homogeneity of variances
(samples come from pop with similar variances)
One way repeated groups ANOVA
•Same assumptions as above
•Control for order effects
Two way ANOVA
•Same as above
13)
Two way ANOVA is appropriate statistical test when you have more than one IV, each with at least 2...

...Question 2b 6
Question 2c 7
Question 3a 8
Question 3b 8
Question 3c 10
Question 3d 11
Question 4 12
Question 5 14
References 15
Question 1
The sampling method that Mr. Kwok is using is Stratified Random Sampling Method. In this case study, Mr Kwok collected a random sample of 1000 flights and proportions of three routes in the sample. He divides them into different sub-groups such as satisfaction, refreshments and departure time and then selects...

...Trajico, Maria Liticia D.
BSEd III-A2
REFLECTION
The first thing that puffs in my mind when I heard the word STATISTIC is that it was a very hard subject because it is another branch of mathematics that will make my head or brain bleed of thinking of how I will handle it. I have learned that statistic is a branch of mathematics concerned with the study of information that is expressed in numbers, for example information about the number...

...Statistics 1
Business Statistics
LaSaundra H. – Lancaster
BUS 308 Statistics for Managers
Instructor Nicole Rodieck
3/2/2014
Statistics 2
When we hear about business statistics, when think about the decisions that a manager makes to help make his/her business successful. But do we really know what it takes to run a business on a statistical level? While some may think that business...

...Food for Fork
Case Study
by
Tony Mayer
1. Is the average amount that people are willing to pay for an entrée less than the forecast value of $19?
2.1. Null and alternate hypotheses
H0: Average amount people are willing to pay for entrée = $19
HA: Average amount people are willing to pay for entrée < $19
2.2. Statistical technique chosen to test the hypothesis
One sample t-test
2.3. Summary of the nature (characteristics) of the test...

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BUS 308 STATISTICS FOR AMANAGERS
BUS 308 Week 1 DQ 1 Language
Numbers and measurements are the language of business.. Organizations look at results, expenses, quality levels, efficiencies, time, costs, etc. What measures does your department keep track of ? How are the measures collected, and how are they summarized/described? How are they used in making decisions? (Note: If you do not have a job where measures are available to you, ask someone you know for...

...distribution function for 100 normal random numbers. The K-S test is based on the maximum distance between these two curves.
Characteristics and Limitations of the K-S TestAn attractive feature of this test is that the distribution of the K-S test statistic itself does not depend on the underlying cumulative distribution function being tested. Another advantage is that it is an exact test (the chi-square goodness-of-fit test depends on an adequate sample size for the...

...1. Introduction
This report is about the case study of PAR, INC. From the following book: Statistics for Business an Economics, 8th edition by D.R. Anderson, D.J. Sweeney and Th.A. Williams, publisher: Dave Shaut. The case is described at page 416, chapter 10.
2. Problem statement
Par, Inc. has produced a new type of golf ball. The company wants to know if this new type of golf ball is comparable to the old ones. Therefore they did a test, which consists...

...Organization of Terms
Experimental Design
Descriptive
Inferential
Population
Parameter
Sample
Random
Bias
Statistic
Types of
Variables
Graphs
Measurement scales
Nominal
Ordinal
Interval
Ratio
Qualitative
Quantitative
Independent
Dependent
Bar Graph
Histogram
Box plot
Scatterplot
Measures of
Center
Spread
Shape
Mean
Median
Mode
Range
Variance
Standard deviation
Skewness
Kurtosis
Tests of
Association
Inference
Correlation...