A level Flashcards

(50 cards)

1
Q

What does the PMCC measure?

A

The linear association between two variables

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2
Q

What is the explanatory variable?

A

Like an independent variable - however, it may be influenced by some other variable ( usually the horizontal variable)

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3
Q

What is data

A

Information collected from various sources

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4
Q

d qualitative data

A

descriptive data, categories

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5
Q

d Quantitative

A

Numerical data

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6
Q

What are the two types of quantitative data?

A

Discrete and continuous

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7
Q

What are the median mode and mean examples of

A

measures of central tendency

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8
Q

What are the range and interquartile range?

A

Measures of spread

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9
Q

Define variance

A

Mean sum of the squares

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10
Q

d standard deviation

A

root of variance

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11
Q

D deviation

A

difference between the data and the mean

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12
Q

What is data cleaning

A

dealing with missing/ anomolous data

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13
Q

What are outliers

A

1.5x IQR

3 x standard deviation

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14
Q

d interpolation

A

guessing within the data set

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15
Q

d extrapolation

A

outisde the data set

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16
Q

d population

A

Every item with the group (finite of infinte)

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17
Q

d Census

A

every memeber of the popualtion is sampled

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18
Q

d sample survey

A

informatino being collected from a small representitive part of the population

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19
Q

d sampling unit

A

individual member of the smapled population

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20
Q

d sampling frame

A

collection of all the units (have to have unique names or codes)

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21
Q

d Target popualtion

A

group from which your sample has been taken from -sample should represent this

22
Q

d Bias

A

Sample does not refelct target population

23
Q

d random sampling, +-

A

everyone in the the population has equal chance
+ bias eliminated
- difficult

24
Q

d stratified sampling

A

strata (groups in sample) are proportionately represented

25
d Quota sampling +-
Splitting the population into a group and sampling a chosen number of people from each group +easy - often leads to poor representations
26
d systematic sampling +-
Choosing every nth unit in a list +fair difficult
27
d opportunity sampling +-
survey whatever you can +easy - likely biased
28
What is special about a histogram
Area represents frequency
29
d p-value
the calculated probability that the test is true given the null hypothesis
30
When approximating a binomial what do you have to remember
continuity correction
31
What is a hypothesis test
statistical test | to test if evidence in the sample can infer whether a condition is true for the entire population
32
What do you do in a two tail test
half the significance level
33
What are the requirements for approximating the binomial?
p ~ 0.5 | n is large
34
Define mutually exlcusive
cannot happen at the same time | P(A∩B) = 0
35
intersection
36
Union
37
Define independent
do not affect each other | P(A∩B) = P(A)xP(B)
38
Equation for conditional probability
P(A/B) = P(A∩B)/P(B)
39
LDS UK destinations from North to South
``` Leuchars Leeming Heathrow Hurn Cambourne ```
40
LDS overseas destinations North to south
Beijing Jacksonville Perth
41
What data is discrete in LDS
Cloud cover (oktas)
42
What is mist and fog LDS
above 95%
43
What is a knot in mph
1 knot = 1.15 mph
44
Why is data cleaning important LDS
often contains n/a values or trace or mistypes
45
what is a trace LDS
rain less than 0.05mm
46
What is the only location below the equator LDS
Perth
47
When was the LDS data collected
1 May to Oct 31 | 1987 and 2015
48
LDS when was 1987 big storm
15/16 oct
49
d test statistic
A statistic that is calculated from sample data in order to test a hypothesis about a population.
50
critical value
A critical value is the point (or points) on the scale of the test statistic beyond which we reject the null hypothesis.