A level Flashcards

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
Q

d Quota sampling +-

A

Splitting the population into a group and sampling a chosen number of people from each group
+easy
- often leads to poor representations

26
Q

d systematic sampling +-

A

Choosing every nth unit in a list
+fair
difficult

27
Q

d opportunity sampling +-

A

survey whatever you can
+easy
- likely biased

28
Q

What is special about a histogram

A

Area represents frequency

29
Q

d p-value

A

the calculated probability that the test is true given the null hypothesis

30
Q

When approximating a binomial what do you have to remember

A

continuity correction

31
Q

What is a hypothesis test

A

statistical test

to test if evidence in the sample can infer whether a condition is true for the entire population

32
Q

What do you do in a two tail test

A

half the significance level

33
Q

What are the requirements for approximating the binomial?

A

p ~ 0.5

n is large

34
Q

Define mutually exlcusive

A

cannot happen at the same time

P(A∩B) = 0

35
Q

A

intersection

36
Q

37
Q

Define independent

A

do not affect each other

P(A∩B) = P(A)xP(B)

38
Q

Equation for conditional probability

A

P(A/B) = P(A∩B)/P(B)

39
Q

LDS UK destinations from North to South

A
Leuchars
Leeming
Heathrow
Hurn
Cambourne
40
Q

LDS overseas destinations North to south

A

Beijing
Jacksonville
Perth

41
Q

What data is discrete in LDS

A

Cloud cover (oktas)

42
Q

What is mist and fog LDS

43
Q

What is a knot in mph

A

1 knot = 1.15 mph

44
Q

Why is data cleaning important LDS

A

often contains n/a values
or trace
or mistypes

45
Q

what is a trace LDS

A

rain less than 0.05mm

46
Q

What is the only location below the equator LDS

47
Q

When was the LDS data collected

A

1 May to Oct 31

1987 and 2015

48
Q

LDS when was 1987 big storm

49
Q

d test statistic

A

A statistic that is calculated from sample data in order to test a hypothesis about a population.

50
Q

critical value

A

A critical value is the point (or points) on the scale of the test statistic beyond which we reject the null hypothesis.