Descriptive Statistics Flashcards

1
Q

“Samples and Populations”

What is a population?

A

A group that contains ALL people or objects with characteristic in common

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2
Q

“Samples and populations”

What is a sample?

A

researcher’s selection from the population

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3
Q

“Samples and populations”

Why do researchers use sampling?

A

Cheaper
quicker
convenient

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4
Q

“Samples and populations”

Before conducting research, what must the researcher insure?

A

Population is relevant to the sample

sample is truly representative of target population

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5
Q

“Samples and populations”

What do we use descriptive statistics for?

A

Describing samples

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6
Q

“Samples and populations”

Do you use inferential statistics for?

A

Generalising samples to wider populations

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7
Q

“Measures of Central Tendency”

What are measures of central tendency?

A

Data that indicates the typical score in the data set

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8
Q

“Measures of Central Tendency”

What are the three types of central tendency?

A

Mean
median
Mode

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9
Q

“Measures of Central Tendency”

How to calculate the mean?

A

Add up all the sample Scores

Divide by how many scores are in the sample

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10
Q

“Measures of Central Tendency”

How to calculate the median?

A

The middle value when sample scores are ordered

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11
Q

“Measures of Central Tendency”

How to calculate the mode?

A

The most frequently occurring score

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12
Q

“Measures of Central Tendency”

Which central tendency should be used When?

A

The mean is most frequently used.

You should use it when satisfied that scores Are typical of the sample

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13
Q

“Measures of Central Tendency”

What is an issue with the mean? How can it be resolved?

A

Sensitive to extreme scores

Use the medium instead

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14
Q

“Measures of Central Tendency”

What are outliers?

A

Extreme Scores in the Sample

Considerably higher or lower then other scores

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15
Q

“Measures of Central Tendency”

How to find outlier on box plot?

A

School outside hinges of box

Number above Whiskers on box plot Show which score Is extreme

E.g. 10 equals tenth score is extreme

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16
Q

“Measures of Central Tendency”

To do If there’s an outlier?

A

check data entered is correct

was there anything unusual that explains it in data collection
e.g participant did not finish

17
Q

“Measures of Central Tendency”

And you remove outliers from the data?

A

Yes if there is a legitimate reason - not if theres no reasoning
say that you removed it in report

18
Q

“Normal Distribution”

why do we look at normal distribution?

A

used to make assumption about a populations distribution

19
Q

“Normal Distribution”

What does normal distribution and require? (3)

A
  1. Symmetrical about the mean
  2. Tales meet x-axis at infinity
  3. Bell shaped
20
Q

“Normal Distribution”

What are all the same normal distribution?

A

Mean medium and mode

21
Q

“Normal Distribution”

What is needed to plot normal distribution?

A

Function of the mean

Standard deviation

22
Q

“Normal Distribution”

What is normal distribution?

A

Distribution of scores that creates a bell shape

23
Q

“Normal Distribution”

how does normal distribution become “perfect”?

A

modes of mean, median and mode are all represented by the peak

24
Q

“Normal Distribution”

what does sample size have to do with normal distribution?

A

larger sample sizes represent distributions better because of the clearer peak

25
Q

“Variation or spread of distributions”

what is variation?

A

The the degree that the score of a variable is different to another

26
Q

“Variation or spread of distributions”

What is used to understand variation?

A

The range

27
Q

“Variation or spread of distributions”

How to calculate the range?

A

Take away the smallest value from the largest value

28
Q

“Variation or spread of distributions”

What does the range do?

A

Tells us about a overall range of scores

29
Q

“Variation or spread of distributions”

What is a limitation of the range?

A

Does not tell us about overall shape of distribution of the sample

30
Q

“Variation or spread of distributions”

What is standard deviation?

A

Square root of variance

31
Q

“Variation or spread of distributions”

what does standard deviation do?

A

Measures how much data deviates around the mean

32
Q

“Variation or spread of distributions”

why is SD Better than the range?

A

Indicates what is happening between two extremes

which tells the variation around the mean

33
Q

“Variation or spread of distributions”

why is standard deviation an important method?

A

Basis for most statistic techniques to analyse data

34
Q

“Variation or spread of distributions”

what is the problem with mean deviation?

A

Only measures Central tendency
half of deviations will be negative numbers
-When added they will become zero

35
Q

“Variation or spread of distributions”

How to resolve the problem with mean deviation?

A

Square each deviation from the mean
(Negative become positive)
Calculate the mean of squared deviations - This is variance

36
Q

“Variation or spread of distributions”

What is the issue with variance?

A

The squared deviation is not expressed in same unit as the original school
must square root variance to achieve this