To test whether memory changes with age, a researcher conducts an experiment in which there are four groups of six subjects each. The groups differ according to the age of subjects. In group 1, the subjects are each 30 years old; group 2, 40 years old; group 3, 50 years old; and group 4, 60 years old. Assume that the subjects are all in good health ad that the groups are matched on other important variables such as years of education, IQ, gender, motivation, and so on. Each subject is shown a series of nonsense syllables at a rate of one syllable every 4 seconds. The series is shown twice after which the subjects are asked to write down as many of the syllables as they can remember. The number of syllables remembered by each subject is shown here: (Christensen, 2002).
30 Years old
40 Years Old
50 Years old
60 Years old
14
12
17
13
13
15
14
10
15
16
14
7
17
11
9
8
12
12
13
6
10
18
15
9
Solution
Descriptive
Number of Syllables
N
Mean
Std. Deviation
Std. Error
95% Confidence Interval for Mean
Minimum
Maximum
Lower Bound
Upper Bound
30 Years Old
6
13.50
2.429
.992
10.95
16.05
10
17
40 Years Old
6
14.00
2.757
1.125
11.11
16.89
11
18
50 Years Old
6
13.67
2.658
1.085
10.88
16.46
9
17
60 Years Old
6
8.83
2.483
1.014
6.23
11.44
6
13
Total
24
12.50
3.244
.662
11.13
13.87
6
18
Interpretation
The descriptive statistics is an effectual study through which the summary and nature of data has analyzed. The highest mean value has noticed in 40 years old whereas the lowest mean value has noticed in 60 years old values. The standard deviation defines that how far is from the mean value (Christensen, 2002) (Christensen, 2002).
a. ANOVA Test
ANOVA
Number of Syllables
Sum of Squares
df
Mean Square
F
Sig.
Between Groups
108.333
3
36.111
5.403
.007
Within Groups
133.667
20
6.683
Total
242.000
23
Robust Tests of Equality of Means
Number of Syllables
Statistic
df1
df2
Sig.
Welch
5.056
3
11.099
.019
Brown-Forsythe
5.403
3
19.793
.007
a. Asymptotically F distributed.
Test of Homogeneity of Variances
Number of Syllables
Levene Statistic
df1
df2
Sig.
.195
3
20
.898
b. The f value defines the significance level of the test. It also defines the null hypothesis is rejecting and fails to accept the alternative hypothesis (Rice, 1989) (Rice, 1989).
e. These tests can be finding out by using SPSS
Go to- Analyze- Compare Means- One Way ANOVA-Options