• 2
nd
step – describe the test results
– What did you conclude (reject or not reject the null)?
–
What is the p value?
– What does it mean in plain English?
51
A (type of t test) _____ was conducted to compare the difference between
(group or variable 1) _____ and (group or variable 2) _____ in/for (variable or
group name) _____.
in our case this is as follows:
An independent samples t test was conducted to compare the difference
between teenagers and adults in their mean preference before entering the
theme park.
Or
A paired sample t test was conducted to compare the mean preference
before and after visiting the theme park
A template for describing the test - t test
52

18
A one-way between subjects ANOVA was conducted to compare the
difference in (DV) _____ across (IV) _____.
in our case this is as follows:
A one-way between subjects ANOVA was conducted to compare the
difference in average store sales across different promotion
programs.
Describing the test – one way ANOVA
53
There was a significant (or not a significant) difference in (variable(s)) _____
between (groups) _____ at the p<.05 level [p = ____].
(group 1) _____ exhibit higher (or lower) (variable name) _____ than (group
2) _____ .
in our case this is as follows:
The null hypothesis is rejected. There is a significant difference in preference
before entering the park between teenagers and adults [p = .006].
Teenagers exhibit higher average preference before entering the park than
adults.
(copy/paste the SPSS output tables here)
Describing the results – t test
54
There was a significant (not a significant) effect of IV _____ on DV
_____ at the p<.05 level for (the number of) _____ conditions [p =
____].
in our case this is as follows:
The null hypothesis is rejected. There is a significant difference in
average store sales across different promotion programs at the p<.05
level for the three conditions [p = .001].
(copy/paste the SPSS output tables here)
Describing the results – one way
ANOVA
55

19
Today’s agenda
56
•
Hypothesis testing – tests of differences
–
Different types of t tests
–
Two-tailed vs. one-tailed test
– ANOVA
•
How to write about hypothesis testing
•
A few words on assignment 2
What is expected of the assignment?
•
Write a marketing research report using
Wendy’s
case and questionnaire
•
Develop marketing research problem, research
questions and hypotheses
•
Test the hypotheses with SPSS
•
Report and interpret your findings
57
How to get started?
•
Find out what information is collected through the
questionnaire!
•
Why? Because you cannot test a hypothesis
without relevant data
•
The
tutorial exercises and mini task questions
are really helpful
58

20
So what is in the questionnaire?
•
Demographic info – age, income, employment
status, gender, marital status, family composition
•
Behaviour – frequency, restaurant choice,
recency, ease of decision, payment method
•
Beliefs and attitudes – ratings of various fast
food chains; health considerations
59
Decide what you want to study - MRP
•
Overall statement
“to better understand ____.” You need to fill in a
blank with a customer
attitude, belief or
behaviour construct


You've reached the end of your free preview.
Want to read all 22 pages?
- Two '16
- Statistics, Null hypothesis, Statistical hypothesis testing, Statistical tests, Student's t-test