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Week 14_Statistics for Real Estate

Total questions: 40

Worksheet time: 3hrs 20mins

Name
Class
Date
1.

1) Simple random sampling..........

a)

every member of the population has an equal chance of being selected.

b)

every member of the population is listed with a number, but instead of randomly generating numbers, individuals are chosen at regular intervals.

c)

precise conclusions by ensuring that every subgroup is properly represented in the sample.

d)

also involves dividing the population into subgroups, but each subgroup should have similar characteristics to the whole sample.

2.

2.Non-probability sampling techniques are often used in exploratory and qualitative research.

a)

Yes

b)

No

3.

3.A .................... sample simply includes the individuals who happen to be most accessible to the researcher.

a)

Convenience sampling

b)

Purposive sampling

c)

Snowball sampling

d)

Cluster sampling

e)

Stratified sampling

4.

4.Probability Sampling Techniques

a)

Simple random

b)

Stratified random

c)

Cluster sampling

d)

Systematic sampling

e)

Quota sampling

5.

5.Non-probability Sampling Techniques

a)

Quota sampling

b)

Snowball sampling

c)

Judgment sampling

d)

 Convenience sampling

e)

Systematic sampling

6.

6.The purpose of the Pilot Test is to evaluate the feasibility, time, cost, risk, and performance of a research project.

a)

Yes

b)

No

7.

7.Census...........................................................

a)

An enumeration of people, houses, firms, or other important items in a country or region at a particular time.

b)

Asked for a Social Security number, bank account information, or information about political party affiliation.

8.

8.Categorical data is data that is grouped into categories, such as data for a 'gender' or 'smoking status' variable. Categorical data can be further classified as:

a)

nominal

b)

interval

c)

ratio

d)

discrete

9.

9.Examples of primary sources?

a)

archives and manuscript material

b)

photographs, audio recordings,

c)

government publications

d)

oral histories

e)

video recordings, films.

10.

10.Skewness is a measure of the symmetry of a distribution.

a)

Yes

b)

No

11.

11.The daily computer sales for company Neelofa in 10 consecutive days are given as follows; 16,17,18,21,19,20,26,22,23,24.Find the mean........

a)

21.6

b)

20.6

c)

20.2

d)

21.6

12.

12.The daily computer sales for company Neelofa in 10 consecutive days are given as follows; 16,17,18,21,19,20,26,22,23,24.Find the variance........

a)

9.23

b)

9.22

c)

9.24

d)

9.25

e)

9.26

13.

13.The daily computer sales for company Neelofa in 10 consecutive days are given as follows; 16,17,18,21,19,20,26,22,23,24.Find standard deviation........

a)

3.01

b)

3.02

c)

3.03

d)

3.04

e)

3.05

14.

14.The following data is the air-condition sales data of QA Sdn. Bhd.--- 18,11,14,8,11,11,8,8...Find the range.

a)

10

b)

11

c)

12

d)

13

e)

14

15.

15.The following data is the air-condition sales data of QA Sdn. Bhd.--- 18,11,14,8,11,11,8,8...Find the mean.

a)

1.124

b)

1.123

c)

1.125

d)

1.122

e)

1.120

16.

16.The following data is the air-condition sales data of QA Sdn. Bhd.--- 18,11,14,8,11,11,8,8...Find the variance.

a)

10.608

b)

10.609

c)

10.607

d)

10.601

e)

10.60

17.

17.The following data is the air-condition sales data of QA Sdn. Bhd.--- 18,11,14,8,11,11,8,8...Find the standard deviation.

a)

3.257

b)

3.477

c)

3.567

d)

3.176

e)

3.127

18.

18.A survey was conducted on 12 patients in a hospital. The number of days they stayed in the hospital was recorded as follows.


3,7,2,4,5,1,1,6,4,8,10,14


Calculate Mean

a)

5.32

b)

5.42

c)

5.22

d)

5.72

e)

5.52

19.

19.A survey was conducted on 12 patients in a hospital. The number of days they stayed in the hospital was recorded as follows.


3,7,2,4,5,1,1,6,4,8,10,14


Calculate Variance

a)

14.25

b)

14.99

c)

14.77

d)

14.23

e)

14.55

20.

20.A survey was conducted on 12 patients in a hospital. The number of days they stayed in the hospital was recorded as follows.


3,7,2,4,5,1,1,6,4,8,10,14


Calculate Standard deviation

a)

3.87

b)

3.67

c)

3.56

d)

3.81

e)

3.47

21.

21.What are grouped data?

a)

Grouped data is data that has been organized in classes after its analysis

b)

To calculate the mean of grouped data, the first step is to determine the midpoint of each interval or class.

c)

In the case of grouped data, the range is the difference between the upper boundary of the highest class and the lower boundary of the lowest class.

d)

Grouping does lose precision and any graphs, tables, or statistics generated from grouped data will not be as exact as if raw data would be used.

22.

22.Find the MEAN ;


59, 65, 61, 62, 53, 55, 60, 70, 64, 56, 58, 58, 62, 62, 68, 65, 56, 59, 68, 61, 67

a)

61.2357

b)

60.38095

c)

61.38095

d)

61.0375

23.

23. Focus Group.......

a)

A focus group is a research technique used to collect data through group interaction.

b)

A focus group is a small-group discussion guided by a trained leader.

c)

Focus groups are used to identify and explore how people think and behave, and they throw light on why what and how questions

d)

The main purpose of focus group research is to draw upon respondents' attitudes, feelings, beliefs, experiences and reactions in a way in which would not be feasible using other methods, for example, observation, one-to-one interviewing, or questionnaire surveys.

24.

24.Continuous variables can take on any real number value.

a)

height

b)

temperature

c)

number of siblings

d)

year of birth

e)

gender

25.

25.Discrete variables can only be specific values. For example:

a)

number of siblings

b)

year of birth

c)

gender

d)

t-shirt size (small, medium, large)

e)

temperature

26.

26.Categorical variables have values that describe labels or attributes. Even if the categories can be placed in natural order, they have no magnitude or units. There are two major scales for categorical variables:

a)

gender

b)

favourite colour

c)

nationality

d)

height

e)

number of siblings

27.

27.Independent variable

a)

What you can decide to change in an experiment.

b)

What you observe or measure

c)

Things you keep the same –do not change.

28.

28.Categorical variable.....................

a)

predictors include gender

b)

material type

c)

payment method

d)

the number of customer complaints

e)

the number of flaws

29.

29.Discrete variable............

a)

date and time a payment is received

b)

the number of customer complaints

c)

the number of flaws or defects.

30.

30.An interval variable......................

a)

is similar to an ordinal variable, except that the intervals between the values of the numerical variable are equally spaced.

b)

the variable is similar to a categorical variable.

c)

is one that has two or more categories, but there is no intrinsic ordering to the categories.

d)

For example, suppose you have a variable such as annual income that is measured in Ringgit Malaysia, and we have three people who make RM 10,000, RM15,000 and RM 20,000. The second person makes RM 5,000 more than the first person and RM 5,000 less than the third person, and the size of these intervals is the same. If there were two other people who make RM 90,000 and RM 95,000, the size of that interval between these two people is also the same (RM5,000).

31.

31.Nominal scale is often used in research surveys and questionnaires where only variable labels hold significance.

a)

Yes

b)

No

32.

32.Nominal Scale Examples

a)

Gender

b)

Political preferences

c)

Place of residence

33.

33.Nominal

a)

genotype

b)

blood type

c)

zip code

d)

gender

e)

race

34.

34.Examples of ordinal variables include:

a)

socio-economic status (“low income”,” middle income”,” high income”)

b)

education level (“high school”,” BS”,” MS”,” PhD”)

c)

income level (“less than 50K”, “50K-100K”, “over 100K”)

d)

satisfaction rating (“extremely dislike”, “dislike”, “neutral”, “like”, “extremely like”)

35.

35.Examples of ratio variables include:

a)

enzyme activity,

b)

dose amount

c)

reaction rate

d)

flow rate

e)

weight

36.

36.A bowler has the following scores for FIVA games. 166,156,180,170,166. Using these data as a sample, compute the MEAN;

a)

167.6

b)

166.7

c)

164.7

d)

165.7

e)

166.7

37.

37.A bowler has the following scores for FIVA games. 166,156,180,170,166. Using these data as a sample, compute the MEDIAN;

a)

166

b)

166.5

c)

167

d)

167.5

e)

168

38.

38.A bowler has the following scores for FIVA games. 166,156,180,170,166. Using these data as a sample, compute the MODE;

a)

166

b)

167

c)

165

d)

168

39.

39.A continuous variable is a numeric variable. Observations can take any value between a certain set of real numbers

a)

Yes

b)

No

40.

40.What are the 3 measures of central tendency?

a)

Mean

b)

Mode

c)

Median

d)

Standard deviation

e)

Variances