Research Methods Y1 - Graphs

Question 1

Define scattergram.

Answer 1

A type of graph that represents the strength and direction of a relationship between co-variables in a correlational analysis.

Question 2

Define bar chart.

Answer 2

A type of graph in which the frequency of each variable is represented by the height of the bars.

Question 3

Define normal distribution.

Answer 3

A symmetrical spread of frequency data that forms a bell-shaped pattern. The mean, median, and mode are all located at the highest peak.

Question 4

Define skewed distribution.

Answer 4

A spread of frequency data that is not symmetrical, where the data clusters to one end.

Question 5

Define positive skew.

Answer 5

A type of distribution in which the long tail is on the positive (right) side of the peak, and most of the distribution is concentrated on the left.

Question 6

Define negative skew.

Answer 6

A type of distribution in which the long tail is on the negative (left) side of the peak, and most of the distribution is concentrated on the right.

Question 7

What does a histogram represent?

Answer 7

A graph in which the bars touch each other, showing continuous data that has been divided into categories (known as intervals).

Question 8

What are line graphs used for?

Answer 8

To show how something changes in value (e.g., scores) over time.

Question 9

What is a bar chart used for?

Answer 9

To represent data that has been divided into categories, using separate bars to indicate the frequency of each category.

Question 10

What is a scattergram used for?

Answer 10

To plot the relationship between two co-variables, helping to identify correlations.

Question 11

What is a key feature of normal distribution?

Answer 11

Most scores are concentrated around the middle of the curve, with very few scores at the extremes.

Question 12

How does skewed distribution differ from normal distribution?

Answer 12

Skewed distribution is asymmetrical and has a long tail on either the positive or negative side of the curve.

Question 13

How do the mean, median, and mode shift in positive skew?

Answer 13

They are pulled to the right (positive direction), with the mean being the most affected by extreme values.

Question 14

How do the mean, median, and mode shift in negative skew?

Answer 14

They are pulled to the left (negative direction), with the mean being the most affected by extreme values.

Question 15

What percentage of a normal distribution falls within 1 standard deviation of the mean?

Answer 15

68.26%.

Question 16

What percentage of a normal distribution falls within 2 standard deviations of the mean?

Answer 16

95.44%.

Question 17

What percentage of a normal distribution falls within 3 standard deviations of the mean?

Answer 17

99.73%.