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So far. . .

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Title: So far. . . Author: End User Last modified by: pmarkey Created Date: 10/29/2002 3:52:01 PM Document presentation format: On-screen Show (4:3) – PowerPoint PPT presentation

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Title: So far. . .


1
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2
Conceptual Understanding
Complete the above table for an ANOVA having 3
levels of the independent variable and n 20.
Test for significant at .05.
3
Conceptual 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
4
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5
Conceptual 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?

6
Conceptual 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

7
Conceptual Understanding
Without computing the SS within, what must its
value be? Why?
8
Conceptual Understanding
The SS within is 0. All the scores within a
group are the same (i.e., there is NO variability
within groups)
9
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10
Practice
  • 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.

11
Results
12
Practice
  • Is there a significant (.01) difference in how
    much these sodas were liked?

13
Step 1 State the Hypothesis
  • H0 ?P ?C ?R ?M
  • H1 The four population means are not all equal

14
Step 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

15
Step 2 Find F-Critical
  • Step 2.2
  • Look up F-critical using table F on pages 370 -
    373.
  • F (3,12) 5.95

16
Step 3.1 Ingredients
  • ?X 121
  • ?X2 937
  • ?Tj2 3671
  • N 16
  • n 4

17
Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
  • SStotal

18
Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
  • SStotal

121
937
21.94
16
19
Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
  • SSWithin

20
Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
  • SSWithin

3671
19.25
937
4
21
Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
  • SSBetween

22
Step 3.2 Calculate SS
?X 121 ?X2 937 ?Tj2 3671 N 16 n 4
  • SSBetween

2.69
3671
121
4
16
23
Step 3.2 Calculate SS
  • Check!
  • SStotal SSBetween SSWithin

24
Step 3.2 Calculate SS
  • Check!
  • 21.94 2.69 19.25

25
Step 3.3 Calculate MS
26
Step 3.3 Calculate MS
2.69
.90
3
27
Calculating this Variance Ratio
28
Step 3.3 Calculate MS
19.25
1.60
12
29
Step 3.4 Calculate the F value
30
Step 3.4 Calculate the F value
.90
.56
1.60
31
Step 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

32
Step 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

33
Step 5 Create the Summary Table
34
Step 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.

35
Practice
  • 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

36
One-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.

37
Practice
  • 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.

39
Review
  • 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
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