Y1 Stats C1-C3 Flashcards

(33 cards)

1
Q

What is a population?

A

The whole set of items that are of interest.

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2
Q

What is a census?

A

A measure that observes every member of the population.

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3
Q

What is a sample?

A

A selection of observations taken from a subset of the population which is used to find out more about the population as a whole.

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4
Q

What are the advantages of a census?

A

It is 100% accurate.

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5
Q

What are the disadvantages of a census?

A
  • They are time consuming and expensive
  • It is hard to process that much data
  • Can not be used when the testing process destroys the item
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6
Q

What are the advantage of a sample?

A
  • Less time consuming and cheaper than a census
  • There is less data to process
  • You don’t have to get everyone to respond
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7
Q

What are the disadvantages of a sample?

A
  • Data is less accurate

- It may not be large enough to give information about the sub groups in a population

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8
Q

What is a sampling unit?

A

An individual unit of a population.

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9
Q

What is a sampling frame?

A

A list of the sampling units.

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10
Q

What is random sampling?

A

Sampling where every member has an equal chance of being selected.

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11
Q

What are the types of random sampling?

A
  • Simple random sampling
  • Systematic sampling
  • Stratified sampling
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12
Q

What is simple random sampling?

A

When the sample units are chosen at random from the population.

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13
Q

How can simple random sampling be done?

A

It can be done by lottery or by a random number generator.

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14
Q

What is systematic sampling?

A

It is when all the members of the population are put in one list and every nth unit is selected.

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15
Q

What is stratified sampling?

A

When a population is divided into “mutually exclusive strata” and a random sample is taken from each.

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16
Q

What is the equation to calculate the number of sample units sampled in each strata?

A

Number in strata / number in population X overall sample size

17
Q

What are the advantages of simple random sampling?

A
  • It is free of bias
  • It is easy and cheap to implement on a small scale
  • Every sample has an equal chance of being selected
18
Q

What are the disadvantages of simple random sampling?

A
  • It requires a sampling frame

- It is not suitable for a large sample size

19
Q

What are the advantages of systematic sampling?

A
  • It is simple and quick to use

- It is suitable for large populations and samples

20
Q

What are the disadvantages of systematic sampling?

A
  • It needs a sampling frame

- It can introduce bias if the sampling frame is not randomly ordered

21
Q

What are the advantages of stratified sampling?

A
  • It accurately reflects the population structure

- It guarantees proportional representations of sub groups

22
Q

What are the disadvantages of stratified sampling?

A
  • The population must be separate-able into groups

- With each strata the same disadvantages of simple random are experienced

23
Q

What is quota sampling?

A

When the interviewer/researcher selects a sample that represents the characteristics of the whole population.

24
Q

What is opportunity sampling?

A

Taking a sample based on who is available at the time and wether or not they meet your criteria.

25
What are the types of non-random sampling?
- Quota sampling | - Opportunity sampling
26
What are the advantages of quota sampling?
- It allows a smaller sample to represent a large population - No sample frame needed - Quick, easy and inexpensive - It makes comparisons between groups easier
27
What are the disadvantages of quota sampling?
- Biased - Can be inaccurate - Time and expense scales with the size of the population
28
What are advantages of opportunity sampling?
- It’s easy to do | - It’s cheap
29
What are the disadvantages of opportunity sampling?
- It is unlikely for the sample to be representative of the entire population - It is open to bias
30
If data is coded with the formula y = (x-a)/b what is the mean of the coded data?
ybar =(xbar-a)/b
31
If data is coded with the formula y = (x-a)/b what is the standard deviation of the coded data?
SDy = SDx/b (SD is a replacement for the standard deviation symbol)
32
What is cleaning?
The process of removing anomalies from the data.
33
What is the difference between an anomaly and an outlier?
An outlier is an extreme measurement that is well outside the normal range for that data. An anomaly is when an outlier is recorded due to incorrect data recording.