SPSS Practical 1 Solutions – Data Entry & Descriptive
Statistics
1.
What is the number and % of females in this group?
sex
Valid
Male
Female
Total
Frequency
105
Percent
52.5
Valid Percent
52.5
Cumulative
Percent
52.5
95
47.5
47.5
100.0
200
100.0
100.0
Answer: 95 (47.5%) of children were female
2. How many children have parents who are separated?
parent_marital
Valid
Frequency
13
Percent
6.5
Valid Percent
6.5
Cumulative
Percent
6.5
Cohabitating
55
27.5
27.5
34.0
Separated
58
29.0
29.0
63.0
100.0
Married
Single
74
37.0
37.0
Total
200
100.0
100.0
Answer: 58 children had parents who were separated
3. What is the most common number of rooms in a house?
rooms
Frequency
Valid
Percent
Valid Percent
Cumulative
Percent
1
65
32.5
32.5
32.5
2
37
18.5
18.5
51.0
3
46
23.0
23.0
74.0
4
31
15.5
15.5
89.5
5
14
7.0
7.0
96.5
6
6
3.0
3.0
99.5
7
1
.5
.5
100.0
200
100.0
100.0
Total
Answer: The most common number of rooms in a house was 1 room.
4. What is the mean (sd) for each of height and weight?
Descriptive Statistics
N
200
Minimum
97
Maximum
129
Mean
110.80
Std. Deviation
6.273
200
13
26
19.19
2.396
height
weight
Valid N (listwise)
200
Answer: The mean height was 110.80 cm; the mean weight was 19.19 kg.
5. What is the median (IQR) head circumference?
Statistics
headcirc
Valid
N
200
Missing
0
Median
50.00
Percentiles
25
49.00
75
52.00
Answer: The median head circumference was 50cm, IQR = ( 49.00 to 52.00)
6. Is the Kaufman score approximately normally distributed?
25
Count
20
15
10
5
80
90
1 00
kaufmann
1 10
1 20
Answer: The histogram indicates that the Kaufmann score is approximately normally
distributed. The data is not perfectly symmetrical however the data forms an
approximate symmetrical bell shaped curve.
7. What is the mean (SD) of the Kaufman score?
Descriptive Statistics
N
kaufmann
200
Valid N (listwise)
200
Minimum
80
Maximum
122
Mean
105.62
Std. Deviation
7.664
Answer: The mean Kaufmann score was 105.62, SD = 7.664.
8. From a scatterplot, what is the relationship between height and head circumference?
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headcirc
Answer: The scatter plot suggests that people with larger head circumferences tend to
be taller.