analysis of data

Question 1

define primary data

Answer 1

primary data is collected by the person who will use the data

Question 2

give 4 examples of primary data

Answer 2

surveys, observations, experiments, quetionaires

Question 3

5 pros of primary data

Answer 3

real time, specific to needs of the researcher, reliable, flexible, know how it was collected

Question 4

3 cons of primary data

Answer 4

expensive, time consuming, limit of samples size

Question 5

define secondary data

Answer 5

secondary data is collected by someone else, maybe for different people

Question 6

give 4 examples of secondary data

Answer 6

websites, publications, books, journals

Question 7

4 cons of secondary data

Answer 7

past data (old), may be unreliable, unknown selection methods (may be bias), may not be specifically for your survey

Question 8

4 pros of primary data

Answer 8

economical, not time consuming, easy to obtain, inexpensive

Question 9

define qualitative data

Answer 9

non numerical

Question 10

3 examples of qualitative data

Answer 10

eye colour, fav movie, make of car

Question 11

define quantitative data

Answer 11

numerical

Question 12

3 examples of quantitative data

Answer 12

height, number of cars, hourly wage

Question 13

what type of data does discrete and continuous data fall under

Answer 13

quantitative data

Question 14

define discrete data

Answer 14

only specific value

Question 15

3 examples of discrete data

Answer 15

age in years, shoe size, num of pens in box

Question 16

define continuous data

Answer 16

can take any value

Question 17

3 examples of continuous data

Answer 17

height, wage, weight

Question 18

define census

Answer 18

data is taken from the entire population

Question 19

define sample

Answer 19

data is only taken from some of the population

Question 20

define population

Answer 20

whole group from which the data could be taken

Question 21

3 pros for sample

Answer 21

less time consuming, less data to process, less expensive

Question 22

a pro for census

Answer 22

gives complete result

Question 23

2 cons for a sample

Answer 23

data might not be accurate, sample not as large (to give a good inference)

Question 24

4 cons for a census

Answer 24

expensive, time consuming, lots of data to process, cant be used when testing

Question 25

define simple random sampling

Answer 25

every member of the population has an equal chance of being picked

Question 26

3 types of simple random sampling

Answer 26

stratified, systematic, cluster

Question 27

2 types of non random sampling

Answer 27

opportunity, quota