Collecting And Interpreting Data Flashcards

1
Q

What is a population?

A

A population is the whole set of items that are of interest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is a sample?

A

A sample is some subset of the population intended to represent the population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is a sampling unit?

A

Each individual in the population that can be sampled is a sampling unit

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is a sampling frame?

A

Sampling units of a population can be individually named or numbered to form a list called the sampling frame

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is a census?

A

Data collected from every sampling unit is known as a census

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What are the advantages and disadvantages of a census?

A

Advantage: It should give completely accurate results
Disadvantage: Time consuming, expensive, impossible if testing involves destruction, lots of data to process

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What are the advantages and disadvantages of a sample?

A

Advantages: Quick, Cheap, Less data to process
Disadvantages: Inaccurate, Miss out small sub groups

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

How do you carry out simple random sampling?

A

Every sample has an equal chance of being picked.
In sampling frame, each item assigned identifying number and a random number generator or “lottery sampling” is used to pick specific sampling units

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What are the advantages and disadvantages of simple random sampling?

A

Advantages: Unbiased, Easy, Cheap, Equal Chance of Selection
Disadvantages: Impossible with large population, Sampling Frame needed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

How to carry out systematic sampling?

A

Required elements are chosen at regular intervals in ordered list. Every kth elements where
k = pop size///samp size
Starting at a random item between 1 and k

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What are the advantages and disadvantages of systematic sampling?

A

Advantages: Simple, Quick, Can do large samples
Disadvantages: Sampling frame needed, Bias if frame is not random

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

How to carry out stratified sampling?

A

Population divided into groups (strata) and simple random sampling occurs within them. Same proportion sampled from each strata:
(Samp size///Pop size) x Strata Size
Used when sample is large and population naturally falls into groups

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What are the advantages and disadvantages of stratified sampling?

A

Advantages: Reflects population structure, Proportional representation of strata in population
Disadvantages: Population must be in strata, Same disadvantages as simple random sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

How to carry out quota sampling?

A

Divide population into groups according to characteristics of interest to reflect population proportion. Interviewer selects the sampling units

Proportion of population x Sample Size = Sampling units of a characteristic selected

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What are the advantages and disadvantages of quota sampling?

A

Advantages: Small sample represents population, No sampling frame, Quick, Easy, Cheap, Easy comparison
Disadvantages: Possible bias, Costly or inaccurate to make groups, More groups is more expense, Non-response not recorded

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

How to carry out opportunity sampling?

A

Sample taken from people who are available at the time, who meet criteria

17
Q

What are the advantages and disadvantages of opportunity sampling?

A

Advantages: Easy, Cheap
Disadvantages: Unlikely to be representative sample, Dependent on researcher (bias)

18
Q

What does x bar mean?

A

X bar is the mean of the values in the variable ‘x’

19
Q

What are measures of location? Examples?

A

Measures of location are single values which describe a position in a data set (Maximum, Minimum, Quartile, Percentile)

20
Q

What are the measures of central tendency? Examples?

A

Within the measures of location, you have the measures of central tendency which are to do with the where the centre of data is (Mean, Medium, Mode)

21
Q

What are the measures of spread? Examples?

A

There are measures of spread which are to do with how data is spread out (Range, IQR, Variance, Standard Variation)

22
Q

What is the equation for x bar?

A

X bar = Total of X/Number of X values

23
Q

What is the x bar for a frequency table?

A

X bar = (Frequency***X)///Frequency

24
Q

What is the equation for x bar of grouped frequency?

A

X bar = (Average Frequency***X)///Frequency

25
What is the equation for standard deviation?
Standard Deviation = Sqrt(Sigma x2 - n*x bar 2///n-1)
26
How do you calculate the median for a list and grouped data?
To find the median, use the equation Number of Values + 1 /// 2 With grouped data, it is the same equation and then linear interpolation
27
What is the method behind linear interpolation?
Divide the median by the interval in the group data it is in. Multiply the fraction by the group interval and add this to the lower bound
28
What is the formula for the Lower and Upper Quartiles?
UQ = 3(N+1)///4 LQ = N+1///4
29
What is a formula to find an outlier using the IQR?
Data which lies 1.5 *** IQR beyond the lower and upper quartiles
30
What is the formula for an outlier using standard deviation?
Data which lies +- 2 *** standard deviation from the mean
31
What is variance and standard variation?
Variance is a measure of the spread between numbers in a data set from the mean
32
What is the formula for variance?
Variance = Sigma x2 - (n)(x bar)///n-1
33
What is a causal relationship?
Two variables have a causal relationship if a change in one variable directly causes change in the other
34
What is the relationship between extrapolating and reliability?
Extrapolating outside the range of data compromises reliability
35
What is cluster sampling?
The population is divided into smaller groups known as clusters of which simple random sampling is used to pick an entire cluster rather than a sampling unit. The groups are not connected by a characteristic like in stratified sampling
36
What are the advantages and disadvantages of cluster sampling?
Advantages: Simple manual process, Cheap, Quick, Allows for increasing sample size Disadvantages: Less precise, Leads to over/underrepresentation causing bias, Does not represent population structure well
37
What does it mean if a set of data has a negative, positive, and symmetrical skew?
A negative skew is where the mean lies before the median A positive skew is where the median lies before the mean A symmetrical skew Is when the mean and medium lie together
38
How to calculate frequency density?
Frequency / Class Width = Frequency Density
39
How to calculate the mode of a histogram?
If they all have the same class width, it is the highest frequency If they have different class widths, it is the highest frequency density