SRP520S - STATISTICS FOR REGIONAL PLANNERS - 1ST OPP - NOV 2022


SRP520S - STATISTICS FOR REGIONAL PLANNERS - 1ST OPP - NOV 2022



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nAm I BI A u n IVE RS ITV
OF SCIEnCE Ano TECHnOLOGY
FACULTY OF ENGINEERING AND THE BUILT ENVIRONMENT
DEPARTMENT OF ARCHITECTURE, PLANNING AND CONSTRUCTION
QUALIFICATION: BACHELOR OF REGIONAL AND RURAL DEVELOPMENT
QUALIFICATION CODE: 07BRAR
NQF LEVEL: 5
COURSE CODE: SRP520S
DATE: NOVEMBER 2022
COURSE NAME: STATISTICS FOR REGIONAL
PLANNERS
PAPER: THEORY
DURATION: 3 HOURS
MARKS: 100
EXAMINER(S)
MODERATOR
FIRST OPPORTUNITY EXAMINATION QUESTION PAPER
Dr Eric Yankson
Mr Pieter Genis
Please write clearly and legibly!
INSTRUCTIONS
Read each question carefully before answering it.
You must answer all questions in this exam.
Make sure your Student Number is on the EXAMINATION BOOKLET{s).
This Question Paper Consists of 8 Pages (Including this Front Page)

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Name: Statistics for Regional Planners
Code:SRP520S
Question 1
Select and write down the correct answers for the following:
(a). The list of all the subjects in the population that is needed to conduct a simple random sampling
is known as:
(1)
(i) Sampling bias
(ii) Sampling error
(iii) Sampling frame
(iv) Response bias
(b). All the following are narrow components of population change except:
(1)
(i) Births
(ii) Commuting
(iii) Migration
(iv) Deaths
(c). In a cluster random sample, you take a sample of:
(1)
(i) The subjects within every cluster
(ii) The clusters
(iii) The subjects within each stratum
(iv) The strata
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Name: Statistics for Regional Planners
Code:SRP520S
(d). A .......................................i.s formed when individual indicators are compiled into a single index,
on the basis of an underlying model of the multi-dimensional concept that is being measured. (1)
(i) Development model
(ii) Composite index
(iii) Socio-economic multiplier
(iv) Technology index
(e). The United Nations Generic Data Quality Assurance Framework includes the following process
quality components except:
(1)
(i) Social engineering
(ii) Cost effectiveness
(iii) Respondent burden
(iv) Methodological soundness
(f). An infant is generally considered to be a person:
(1)
(i) Lessthan 15 years of age
(ii) Between the ages of 13-19
(iii) Lessthan 1 year of age
(iv) 65 years of age and over
(g). All the following are steps in the construction of composite indices except:
(1)
(i) Data selection
(ii) Normalisation
(iii) Valorisation
(iv) Weighting and aggregation
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Name: Statistics for Regional Planners
Code:SRP520S
(h). The most common measure of age is:
(1)
(i) The number of years after birth
(ii) The number of years after death
(iii) The number of days after birth
I
(iv) The number of days after death
I
(i). In a human population, the potential or capacity to produce is known as:
(1)
(i) Fertility
(ii) Fecundity
(iii) Mortality
(iv) Sexuality
(j). A statement about a population parameter subject to verification is known as:
(i) Sample
(ii) Inference
(iii) Statistic
(iv) Hypothesis
(1)
(10]
Question 2
(a) Define the term statistics.
(2)
(b) State three reasons why it is important to study statistics.
(3)
[S]
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Name: Statistics for Regional Planners
Question 3
(a) What is a time series analysis?
(b) List three reasons why we need a time series analysis.
Question 4
Define the following terms:
(a) Population size
(b) Population distribution
(c) Population composition
Code:SRP520S
(2)
(3)
[5]
(2)
(2)
(2)
[6]
Question 5
List the four main components of quality under the Namibia Quality Assurance Framework for
Statistics.
[4]
Question 6
Distinguish between the following terms:
(a) Discrete and continuous variables
(2)
(b) Descriptive and inferential statistics
(2)
(c) Population and sample
(2)
(d) Ordinal and interval scales
(2)
[8]
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Name: Statistics for Regional Planners
Code:SRP520S
Question 7
Suppose P(A) represents the probability that a local authority in Namibia will allocate more
resources to poverty alleviation programmes in the 2023 financial year. If P(A) = 0.35, what is the
probability that the local authority will not allocate more resources to poverty alleviation
programmes in the 2023 financial year?
[3]
Question 8
The following show the number of years selected Namibian planners have practised in the
profession: 5, 10, 5, 10, 15, 35, 20, 10, 25 and 10. Calculate the following for the number of years:
(a) Mean
(2)
(b) Median
(2)
(c) Mode
(1)
(d) Range
(2)
[7]
Question 9
A survey estimates that the probability planners believe in bottom-up decision-making is 0.74. Of the
planners who believe in bottom-up decision-making, 65% also advocate the importance of regional
planning. What is the probability that a randomly selected planner believes in both bottom-up
decision-making and regional planning?
[4]
First Opportunity Examination Question Paper
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Name: Statistics for Regional Planners
Code:SRP520S
Question 10
Let x represent the number of times a political party has won local elections in Namibia over the past
10 years. Assuming that the probability distribution of xis approximately: P(0) =0.12, P(l) =0.45,
P(2) = 0.24, P(3) = 0.05 and P(4) = 0.14.
(a) Is x a discrete or a continuous variable? Please explain briefly.
(2)
(b) Construct a table showing the probability distribution of x.
(5)
(c) Find the mean of the probability distribution.
(4)
Question 11
As a development planner, you have the task of sampling from the 10,000 residents in a community
to find out the percentage of inhabitants who believe quality of life has improved over the past
decade. Explain how you would proceed if you want a systematic random sample of 250 residents.
[5]
Question 12
The ages of a sample of five development planners are as follows: 25, 40, 55, 30 and 50. Calculate
the following for the ages:
(a) Mean
(3)
(b) Sample variance
(5)
(c) Sample standard deviation
(6)
[14]
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Name: Statistics for Regional Planners
Question 13
The following table summarises the population data for a particular region.
Population/Land Area
Population in 2015
Population in 2014
Males aged 15-64 in 2015
Females aged 15-64 in 2015
Population less than 15 years in 2015
Population 65 years and older in 2015
Land area in 2015 (in square kilometres)
Figures
100,000
92,500
28,000
30,300
17,500
24,200
1,250
(a) Calculate the following:
(i) Annual population growth rate between 2014 and 2015
(ii) Sex ratio for the population aged 15-64 in 2015
(iii) Dependency ratio in 2015
(iv) Population density in 2015
(b) Interpret the calculations in (a) above.
Code:SRP520S
(4)
(3)
(4)
(3)
(4)
END
(18)
TOTAL
[100)
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