QUANTITATIVE METHODS IN GEOGRAPHY (GPLA3204)

BA. Geography and Planning - GP

Semester: Second Semester

Level: 300

Year: 2018

Answers (200 )
Prof. Dr Ndoh Mbue, 2017
Black
Var5 Respondent’s age (AGE)
Var6 Respondent’s religious affiliation (RELIGION)
1. Protestant
2. Catholic
3. Jewish
4. None
5. Other
Quantitative Methods in Geography
Take home Continuous Assessment
Instructions:
Attempt
ALL
questions.
Write
down your
answers
in a word file
Level III
Time allowed: 3 hours
Lecturer: Prof. Ndoh Mbue
Deadline for submission: Wednesday 27
th
June 2018 at 8 a.m. prompt No late submissions tolerated
Var 1 Respondent’s identification number (ID)
Var2 Province the respondents lives in (PROVINCE)
1 North west
2 South west ,
Var3 Respondents gender (GENDER)
1 Male 2 Female
Var4 Respondent’s ethnicity (ETHNICITY)
1 Caucasian
Var7 Respondent ’s
mother's
education -
years
of
schooling (MAEDUC )
Name your data set
and save it the data (either to disk or to your student file) Task1: Enter the following dataset:
id
province gender
ethnicity
------
i
—
age
religion
maeduc
paeduc prestg80
1
1 1
1
1 32
1 16 16
L
43
2
2
1
2
1
37
2
13 9 46
3 3
1
2 2
72
2
20
12
35
4
4
I 2
1
86 3 12 12 21
5 5
1 1
1
30 5 13 65
6
6
1 1
1 32 10 17
39
7 7
1 2
2
29 1 18
18
34
8
8 1
1
2
29 1
4
12
39
9
9 1
2
2
53
1 6 11 51
10 10
1 1
2 68
1 9
16
55
11 11
1 .2
1
19
2
2
3
64
12
12
1 2 2
43 2 14 12 74
13
13
2
2 2
38
4
12 20 22
14 14
2
1 1
45 2 17 6 65
15
15
2
1
2
24
4
1
13 59
16
16 2
1 1
53 2 3 10 35
17
17 2
2
1
20 2 7 12 45
18
18 2
1
1 27 2 11 16 52
19
19
2
1 1
54
2 8 25 24
20
20
2
2 2
25 1 15 18 71
21 21
2
1
2
20
2
1
12
44
22
22
2
2 2
38
2
7 16 66
23 23
2
I 1 20 5 14 23
24
24
2 2
2
34 2 10 15 47
25
25
2 2
1
67
1
19 12
31
2
1
2
2
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Prof. I
Task 2: Run frequencies for the following categorical (i.e., discrete) variables: Gender, Ethnicity, Religion
Answer the following questions:
What percentage of the sample is female?
What percentage of the sample is Black?
What percentage of the sample is Catholic?
What percentage of the sample is from Alberta?
Task 3: Run Descriptive statistics for the continuous variables: Age, and Mother’s Education (maeduc).
Fill in the following table. - .
Variable
Mean
Standard Deviation
Lowest Value
Highest Value Range Skewmess
Kurtosis
Mother’s Education
(in years)
Task 4: Recode the continuous variable Respondent’s Age (age) into a new categorical variable (agegroup) as follows:
New Values (agegroup)
1 - late adolescent
Old values (age):
18-20
2 — young adult
3 -- middle adult
4 - late adult
21-40
41-60
61-90
Task 5: Complete the following table for the variables, age and Maeeduc
Obtain the frequencies for age group:
1.
2.
3.
4.
5.
What
age
group category has
the
least
number
of
participants/people?
What % of the sample is late adult?
What % of the sample is young adult?
What % of the sample is middle adult?
Variable
Mean
Median
Mode
Maximum Shape
Age
Maeeduc
Task 6: Simple Correlation
Pearson Correlation Coefficient, 2 tailed significance test, flag significant correlations between paeduc
maeduc. Complete the table that follows:
i
<
1. Is the correlation significant?
Yes / No .If yes, at what significance level? _____________
paeduc maeduc
Paeduc
Sig
N
r-1.00
Maeduc
Sig
N
r-1.00
2
Age
What age group category has the most number of participants/people?
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Prof. DrNdoh Mbue,2017
You are told that prestg80 is a function of religion, gender and province. In this case:
Which kind of variable is prestg80?
Which kind of variables are religion, gender and province?
Use regression analysis to produce a model showing this relationship
How much of prestg80 is explained by the other variables?
Is there any evidence of collinearity? Justify?
Task 9:
Task 7: Describe the relationship between gender and prestg80 using:
a. A Clustered barchart
b. A stacked barchart
Task
8: Is there any relationship between province
and religious
affiliation
?
Using Chi square distribution, 95% confidence level, show observed, expected values and use column percentages:
State the null and alternative hypotheses
1. Interpret your results
2. Do you believe the results are feasible?
c. A Boxplot
2. How many people are in the data set?
3. What proportion of variance in maeduc is explained by paeduc?
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