Presenting data

Question 1

what is a independent and dependant variable

Answer 1

IV- the variable that is manipulated
DV- variable that is measured.

Question 2

what is anaylsis

Answer 2

it reveals or tests patterns in data, i.e., produces Results

Question 3

What is the three ways of presenting data

Answer 3

1.Text- Verbal description -ie
complete information in
linear order.
2.table- Spatially organised
representation of single,
precise specifications
3.graphics- Visualisation of data
patterns

Question 4

advantages and disadvantages of using text to represent data

Answer 4

• can allow reader to understand details in the data and establish unambiguous meanings.
  bad- however, you risk getting lost in the detail and therefore become hard to visualise the data.

Question 5

advantages and disadvantages of using tables to represent data

Answer 5

good- you can condense more complex data into a table, making it easier to present a large amount of data. eg can use decimals
bad- cant explain arguments, meanings and logical relationships

Question 6

advantages and disadvantages of using graphs to represent data

Answer 6

good- it focuses and highlights the main patterns in the data.
good- you can get a better look at data distribution and identify outliars easily.
bad- specific details like decimals get lost.
bad- visual interpretation may depend on viewer.

Question 7

what are the types of variables and how many does it look at.

Answer 7

1. univariate- 1 variable
   2.bivariate -2 variables
   3.multivariate - more than 2 variables

Question 8

what does univariate look at

Answer 8

.Data quality
* Distribution
* Outliers

Question 9

what does bivariate look at

Answer 9

.Independent, dependent variable
* Simple relationships (main effects)

Question 10

what does multivariates look at

Answer 10

Two or more factors
* Complex relationships (interactions

Question 11

what happens to the IV

Answer 11

Input to the empirical test
Manipulated by experimenter.

Question 12

what happens to the DV

Answer 12

Output of the empirical test,
Depends on measurements and is
expected to depend on independent
variable

Question 13

what is the other variation eg NOISE

Answer 13

Not part of testing logic,
but interferes with the tested variation and defines reliability of results

Question 14

where do the variables go on a graph

Answer 14

IV- x-axis (bottom)
DV- y-axis (side_
noise- error bars

Question 15

What are the different diagrams we can use and why might you use diff ones

Answer 15

1.pie chart
2.bar chart
3.line chart
4.scatter graph

-Different kinds of diagrams to reveal different patterns and relationships

Question 16

what does a pie chart represent

Answer 16

Variable 1
A continuous, ratio-scaled axis is represented as a circle (= pie)

Variable 2
Discrete data is shown as wedges (circular sectors)

Question 17

advantages and disadvantages of using a pie chart to represent data

Answer 17

good- allows Part-whole relationships
(Relate parts (wedges) to the whole (circle)) to be shown.
bad-limited scope
limited to two variations- no error bar
-requires ratio scales

Question 18

advantages and disadvantages of line graph

Answer 18

good-