Types of Distribution.

Question 1

What shape is a normal distribution curve?

Answer 1

A bell shape.

Question 2

The Normal Distribution Curve plots a _____ distribution of values.

Answer 2

Normal.

Question 3

What is a characteristic of the Normal Distribution Curve (think symmetry).

Answer 3

It is symmetrical about the mid point of the horizontal axis.

Question 4

The symmetrical point of a Normal Distribution Curve is where what?

Answer 4

Where the mean, median and mode fall in the distribution.

Question 5

What do the tail ends of the distribution never quite meet?

Answer 5

They never quite meet the horizontal axis.

Question 6

Where is the area of the normal distribution curve contained?

Answer 6

Between the mean in the centre and the point where one standard deviation falls on the distribution.

Question 7

When we say that our variables are normally distributed, what do we mean by this?

Answer 7

We mean that they are close approximations to this normal curve.

Question 8

What do statistics normally assume?

Answer 8

They assume that the values are normally distributed.

Question 9

If the distribution is nothing like the normal one, what can this lead to?

Answer 9

This can lead to erroneous conclusions.

Question 10

• Interval scales use equal units
• Distance between values are the same
• Does this apply to psychological scales?

Answer 10

Yes, if they are standardised.

Question 11

On a standardised scale, what does this mean?

Answer 11

The distance between the points are equal.

Question 12

Test creators use their knowledge of the properties of a normal distribution to ____________ their Psychological Scales.

Answer 12

Standardise.

Question 13

What does a standardised psychological scale ensure?

Answer 13

That the test produces the same proportions of people along the points of a scale.

Question 14

Height is an example of a _______ _______ curve.

Answer 14

Normal Distribution.

Question 15

What level do unstandardized scales operate at?

Answer 15

Ordinal Level.

Question 16

Standardised scales operate at ______ level.

Answer 16

Interval.

Question 17

IQ scale is also _______.

Answer 17

Standardised.

Question 18

What do standardised scales have?

Answer 18

Normal Distribution.

Question 19

Not all distributions are normal, what are these called?

Answer 19

Skewed Distributions.

Question 20

What are skewed distributions described as being?

Answer 20

Lopsided.

Question 21

Why is the type of distribution (normal or skewed) important?

Answer 21

The shape determines which central tendency and dispersion will best describe the distribution.

Question 22

What curve plots a normal distribution of values?

Answer 22

The Normal Distribution Curve,

Question 23

Skewed distributions are _______. Where do they have their peak?

Answer 23

Lopsided.

They have their peak to one side.

Question 24

Skewed distributions have their peak to one side, what does this mean?

Answer 24

The mode is to one side.

Question 25

Skewed distributions have a ____ on one side where more than _____ the values occur.

Answer 25

Tail, Half.

Question 26

In a negatively skewed distribution, where do most of the values get clustered?

Answer 26

Around the top end of the distribution.

Question 27

Extroversion can be an example of a ______ or ________ skewed distributions.

Answer 27

Negatively, Positively.

Question 28

If mean is high, what happens?

Answer 28

People cant score much higher than the mean but lots of people can still score much lower than the mean.

Question 29

In skewed distributions, a greater number of values below the mode, does what?

Answer 29

Shifts the mean towards the tail.

Question 30

The mean gets pulled in the direction of ______.

Answer 30

skew.

Question 31

Where does the median line sit in skewed data?

Answer 31

Between the mode and mean.

Question 32

The _____ is most sensitive to extreme values.

Answer 32

Mean.

Question 33

In skewed distribution, what are the better measures of central tendency?

Answer 33

Median (or mode, but median is better than mode).

Question 34

If the mean is low, and the data is clustered at the bottom of the graph, what is this known as?

Answer 34

Positively Skewed Distribution.

Question 35

In positively skewed distribution the mean is _____.

Answer 35

Low.

Question 36

When the mean is low, most people can't score much _____ but a significant amount can still score much __________.

Answer 36

lower, higher.

Question 37

What could reaction time be an example of?

Answer 37

A positively skewed distribution.

Question 38

In the graph, what does the highest point mean?

Answer 38

It is the mode- aka. the most frequently occurring number.

Question 39

In a positively skewed distribution, what way is the mean pulled?

Answer 39

It is pulled to the right (in the direction of skew).

Question 40

In skewed data what sits in the middle of the mode and mean?

Answer 40

The median.

Question 41

For skewed data what is the best measure of central tendency to use?

Answer 41

Median.

Question 42

In both types of skew, what is furthest from the mode?

Answer 42

The mean.

Question 43

In negative skew the mean is _____ than mode.

Answer 43

less.

Question 44

In positive skew the mean is ______ than the mode.

Answer 44

Greater.

Question 45

What will Parametric stats assume?

Answer 45

That the data is from a normal distribution.

Question 46

How do we determine whether data is screwed or not?

Answer 46

Look at mean and median of data and if they are half a standard deviation or more apart then the data is skewed.

Question 47

If the mean, mode and median are all the same the data is ______ distributed.

Answer 47

normally.

Question 48

If there is a difference between the mean, mode and median, data could be ______.

Answer 48

Skewed.

Question 49

In order to determine skew, look at the size difference between ____ and ______, compare this difference to half of the ______ ________.

Answer 49

Mean, Median, Standard Deviation.

Question 50

if skewed distribution in interval or ratio data what measures of dispersion must we use?

Answer 50

Range, IQ range or semi-IQ range.

Question 51

For normally distributed interval or ratio data, what measure of dispersion do we use?

Answer 51

Standard Deviation.

Question 52

In normal distributions what is equal? And what is the most appropriate measure of central tendency?

Answer 52

Mean=Mode=Median | The mean.

Question 53

A characteristic of skewed distribution is that what?

Answer 53

The mean, median and mode don't lie in the same place.

Question 54

What 3 pieces of information do we use to describe a data set?

Answer 54

- Type of Distribution - Measure of Central Tendency - Measure of dispersion.