Presenting Quantitative And Qualitative Data

Question 1

When interpreting data in a table what does a high SD suggest?

Answer 1

• mean scores are more spread around the mean
• more variation in scores
• scores are less consistent
• more indv differences in results

Question 2

When interpreting data in a table what does a low (closer to 0) SD suggest?

Answer 2

• scores are less spread / closer around the mean
• less variation in scores
• more consistent scores
• less indv differences in results

Question 3

When interpreting data in a table what does the mean suggest?

Answer 3

• provides good indication of average score gained by ppts
• MOST OF THE TIME, higher the mean the greater the score

Question 4

What is the writing frame when interpreting tables with means and sds?

Answer 4

• state which condition is lower and higher in terms of the mean
• what does this suggest about the effect on the DV
• state which condition is lower and higher in terms of the sd
• what does this suggest about spread of scores + indv diff

Question 5

What are the features of a normal distribution graph?

Answer 5

• curve is always symmetrical
• curve extends outwards on each side but never touches 0
• mean,median and mode all occupy close to midpoint on curve

Question 6

What is a skewed distribution graph?

Answer 6

Spread of data that isnt symmetrical

Question 7

What are the 2 types of a skewed distribution graph?

Answer 7

Positive and negative

PAUL NEVIN = write this whenever u see a skewed distribution graph

Question 8

What are the features of a positive skewed distribution graph?

Answer 8

• most data is concentrated to left of the graph
• peak is towards left (towards word paul = pos)
• tail is on right of peak

E.g. hard test = most ppl score low

Question 9

What are the features of a negative skewed distribution graph?

Answer 9

• most data is concentrated to right of the graph
• peak is towards right (towards word nevin = neg)
• tail is on left of peak

E.g. an easy test = most ppl score high

Question 10

When drawing a distribution curve, what should you plot first and why?

Answer 10

• plot mode first as this shows where most of distribution will be (peak)
• then plot median
• then mean

Question 11

Describe what discrete data is

Answer 11

Info / findings that can be categorised into groups, data can only appear in 1 category

Question 12

Describe what continous data is

Answer 12

Data that can be measured using scientific tools e.g. height, weight, time or an indv score for each ppt

Question 13

What are the steps to drawing a graph?

Answer 13

• identifying what type of graph is required
• plotting correct data
• give graph a title
• label axis + scale

Question 14

What are the 3 graphical representations?

Answer 14

Bar charts
Histograms
Scattergraphs

Question 15

What is a bar chart and when should you use it?

Answer 15

• categorical / discrete data (words)
• bars dont touch eachother or vertical y axis (shows were dealing with seperate conditions)
• used to compare conditions

Question 16

What is a histogram and when should you use it?

Answer 16

• continuous data such as indv scores for ppts, height, weight or time
• represents frequencies
• scores are made up of equal intervals
• bars touch eachother and vertical y axis - shows data is continous
• if one of the the frequencies had an interval of 0, the space for the interval would remain but w out a bar

Question 17

What is a scattergraph and when should you use it?

Answer 17

• used to display relationship between two co - variables, represents correlations
• each plot represents one ppt but 2 scores

Question 18

What type of graph do you use when the mean, median, mode, range and sd values of scores are from TWO SEPERATE CONDITIONS?

Answer 18

Bar chart as the two conditions are categories