Title: So far. . .
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2Conceptual Understanding
Complete the above table for an ANOVA having 3
levels of the independent variable and n 20.
Test for significant at .05.
3Conceptual Understanding
Fcrit 3.18 Complete the above table for an
ANOVA having 3 levels of the independent variable
and n 20. Test for significant at .05.
Fcrit (2, 57) 3.15
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5Conceptual Understanding
- Under what circumstance will the F ratio, over
the long run, approach 1.00? Under what
circumstances will the F ratio be greater than
1.00?
6Conceptual Understanding
- Under what circumstance will the F ratio, over
the long run, approach 1.00? Under what
circumstances will the F ratio be greater than
1.00? - F ratio will approach 1.00 when the null
hypothesis is true - F ratio will be greater than 1.00 when the null
hypothesis is not true
7Conceptual Understanding
Without computing the SS within, what must its
value be? Why?
8Conceptual Understanding
The SS within is 0. All the scores within a
group are the same (i.e., there is NO variability
within groups)
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10Practice
- You are interested in comparing the taste
preference of four sodas. Subjects drank one of
four sodas and asked to rank it on a 1-10 scale
of how much they liked the taste.
11Results
12Practice
- Is there a significant (.01) difference in how
much these sodas were liked?
13Step 1 State the Hypothesis
- H0 ?P ?C ?R ?M
- H1 The four population means are not all equal
14Step 2 Find F-Critical
- Step 2.1
- Need to first find dfbetween and dfwithin
- Dfbetween 3 (k number of groups)
- dfwithin 12 (N total number of
observations) - dftotal 15
- Check yourself
- 15 3 12
15Step 2 Find F-Critical
- Step 2.2
- Look up F-critical using table F on pages 370 -
373. - F (3,12) 5.95
16Step 3.1 Ingredients
- ?X 121
- ?X2 937
- ?Tj2 3671
- N 16
- n 4
17Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
18Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
121
937
21.94
16
19Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
20Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
3671
19.25
937
4
21Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
22Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
2.69
3671
121
4
16
23Step 3.2 Calculate SS
- Check!
- SStotal SSBetween SSWithin
24Step 3.2 Calculate SS
25Step 3.3 Calculate MS
26Step 3.3 Calculate MS
2.69
.90
3
27Calculating this Variance Ratio
28Step 3.3 Calculate MS
19.25
1.60
12
29Step 3.4 Calculate the F value
30Step 3.4 Calculate the F value
.90
.56
1.60
31Step 4 Decision
- If F value gt than F critical
- Reject H0, and accept H1
- If F value lt or to F critical
- Fail to reject H0
32Step 4 Decision
F value .56 F crit 5.95
- If F value gt than F critical
- Reject H0, and accept H1
- If F value lt or to F critical
- Fail to reject H0
33Step 5 Create the Summary Table
34Step 6 Put answer into words
- Question Is there a significant (.01) difference
in how much these sodas were liked? - H0 ?P ?C ?R ?M
- There was not a significant difference in how
much these sodas were liked. On average, they
were all liked equally as well.
35Practice
- Odometers measure automobile mileage. Suppose 12
cars drove exactly 10 miles and the following
mileage figures were recorded. Determine if, on
average, the odometers were accurate (Alpha
.05). - 9.8, 10.1, 10.3, 10.2, 9.9, 10.4, 10.0, 9.9,
10.3, 10.0, 10.1, 10.2
36One-sample t-test
- H1 Mean not equal to 10
- H0 Mean 10
- t critical (11) 2.201
- t obs 1.86
- The odometers did not record a siginficantly
different distance than what was driven.
37Practice
- A research study was conducted to examine the
differences between older and younger adults on
perceived life satisfaction. A pilot study was
conducted to examine this hypothesis. Ten older
adults (over the age of 70) and ten younger
adults (between 20 and 30) were given a life
satisfaction test with high scores indicative of
high life satisfaction. Determine if age has an
affect (.05) on life satisfaction.
Older Adults Younger Adults
Mean 44.5 Mean 28.1
S 8.68 S 8.54
38- tobs 4.257
- tcrit 2.101
- Age does seem to affect life satisfaction.
39Review
- Compare one sample to another value
- One sample t-test
- Compare two independent samples to each other
- Two sample independent t-test (equal or unequal
n) - Compare two dependent samples to each other
- Two sample dependent t-test
- Compare two or more independent samples to each
other - One-way ANOVA