statistics - year 1

studied byStudied by 0 people
0.0(0)
learn
LearnA personalized and smart learning plan
exam
Practice TestTake a test on your terms and definitions
spaced repetition
Spaced RepetitionScientifically backed study method
heart puzzle
Matching GameHow quick can you match all your cards?
flashcards
FlashcardsStudy terms and definitions

1 / 30

flashcard set

Earn XP

Description and Tags

large data set, sampling, [] distributions and []

31 Terms

1

daily mean temperature

  • measured in C

  • average of the hourly temperature readings measured during a 24-hour period

New cards
2

daily total rainfall

  • measured in mm (to 1 d.p.)

  • includes rain, snow and hail (melted)

  • amounts less than 0.05mm are recorded as ‘tr‘ (trace)

New cards
3

daily total sunshine

  • measured in hours (to the nearest tenth of an hour)

New cards
4

daily maximum relative humidity

  • the amount of water vapour in the air

  • measured as a percentage of maximum water vapour that could be in the air

New cards
5

daily mean windspeed (& direction)

  • measured in knots (1 knot = 1.15 mph)

  • direction is measured in degrees (to the nearest 10)

New cards
6

daily maximum gust (& direction)

  • measured in knots (1 knot = 1.15 mph)*

  • direction is measured in degrees (from the north)

*beaufort conversion

New cards
7

daily mean visibility

  • the greatest horizontal distance at which an object can be seen in daylight

  • measured in dm (decameters/10m)

New cards
8

daily mean pressure

  • measured in hectopascals (hPa)

  • small range (~980 to 1035)

New cards
9

daily mean cloud cover

  • measured in oktas (how many eighths of the sky is covered in clouds)

New cards
10

population

a whole set of items that are of interest

New cards
11

census

observes or measures every member of a population

New cards
12

benefits and drawbacks of a census

  • it should give a completely accurate result

  • time consuming and expensive

  • cannot be used when the testing process destroys the item

New cards
13

sample

  • a selection of observations taken from a subset of the population

  • used to find out about the population as a whole

New cards
14

benefits and drawbacks of a sample

  • less time consuming and expensive than a census

  • the data may not be as accurate

  • the sample may not be large enough to give accurate information about a small sub-groups of the population

New cards
15

sampling unit

individual units of a population

New cards
16

sampling frame

a list of sampling units that are individually named or numbered

New cards
17

simple random sample

  • random sampling method

  • each unit is allocated a unique number and numbers are selected randomly

  • numbers can be generated randomly (using a computer) or ‘drawn from a hat’

New cards
18

benefits and drawbacks of simple random sampling

  • free of bias

  • each sampling has a known and equal chance of selection

  • not suitable when the population/sample size is large, as it is potentially time consuming, disruptive and expensive

  • a sampling frame is needed

New cards
19

systemic sampling

  • random sampling method

  • required elements are chosen at regular intervals from an ordered list

  • the first item is chosen randomly, the rest chosen at regular intervals from the first (e.g. every 5 items)

New cards
20

benefits and drawbacks of systemic sampling

  • simple and quick to use

  • suitable for large populations/samples

  • a sampling frame is needed

  • can introduce bias if sampling frame is not random

New cards
21

stratified sampling

  • random sampling method

  • the population is divided into mutually exclusive strata (e.g under 18s and over 18s) and a simple random sample is taken from each

  • the number of samples taken from each strata must be proportional to the population

New cards
22

benefits and drawbacks of stratified sampling

  • sample accurately reflects the population structure

  • guarantees proportional representation of groups within a population

  • population must be clearly classified into distinct strata

  • selection within each stratum has the same disadvantages as simple random

New cards
23

quota sampling

  • non-random sampling

  • the population is divided into groups (quotas) according to a given characteristic

  • the interviewer meets people, assesses their group and allocates them into the appropriate quota

New cards
24

benefits and drawbacks of quota sampling

  • allows a small sample to still be representative of the population

  • no sampling frame required

  • quick, easy and inexpensive

  • non-random sampling can introduce bias

New cards
25

opportunity sampling

  • non-random sampling method

  • consists of taking a sample from people who are available at the time, who fit the criteria

New cards
26

benefits and drawbacks of opportunity sampling

  • inexpensive and easy to carry out

  • unlikely to provide a representative sample

  • highly dependent on individual researcher

New cards
27

quantitative data

data associated with numerical observations

New cards
28

qualitative data

data associated with non-numerical observations

New cards
29

continuous variable

a variable that can take any value in a given range

New cards
30

discrete variable

a variable that can only take specific values in a given range

New cards
31

frequency density

frequency ÷ class width

New cards
robot