Things To Remember Flashcards

(46 cards)

0
Q

Broken line graph

A

Time dependent numerical data

Indicating trends

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1
Q

Bar graph

A

Discrete data
Bars equally set apart
Typically nominal categories

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2
Q

Circle graph

A

Displays data as percentage

Only discrete data

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3
Q

Stem and leaf plot

A

For large series of numbers
Show specific numbers writhing groups
See which is the biggest category

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4
Q

Box and whiskers plot

A

Indicates spread of data
Shows medians
Shows interquartile range

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5
Q

Histogram

A

Frequency diagram
Continuous data
No separation between bars
Equal intervals of measurement

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6
Q

Relative frequency

A

Shows frequency of a data group as a fraction or percent of the whole data set. All relative frequencies together should add up to 100

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7
Q

Coefficient of correlation

A

r
A number from -1 to +1 that gives the relative strength and direction of the relationship between two variables.
It is the average of the z scores of the 2 variables

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8
Q

Coefficient of determination

A

r squared
A number between 0 and 1 that gives the relative strength between two variables. It tells you what percent of the variation of the dependent variable is due to the variation in the independent variable.

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9
Q

Regression

A

A process of fitting a line or curve to a set of data

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10
Q

Residual

A

R

The vertical distance between a data point and a line of best fit.

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11
Q

Cross-sectional study

A

A study which samples different groups of a population at the same time

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12
Q

Longitudinal study

A

A study that looks at the same individuals over time

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13
Q

Information question

A

Circle the correct response

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14
Q

Checklist question

A

Check all of the following that apply

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15
Q

Ranking questions

A

Rank the following in order of importance

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16
Q

Rating questions

A

How would you rate on a scale of….

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17
Q

How do you avoid bias in survey questions?

A
Simple, relevant, specific, readable
Avoid jargon and abbreviations
Doesn't lead respondents
Not open to interpretation 
Brief as possible
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18
Q

Simple random sampling

A

All selections equally likely

Ex. Pulling names out of a hat

19
Q

Systematic random sampling

A

Sample a fixed percent of population using some random starting point and select every nth individual
N=population/sample size

20
Q

Stratified random sampling

A

Population is divided into groups called strata. A simple random sample is taken of each of these with the size of the sample determined by the size of the strata

21
Q

Cluster random sampling

A

Population is ordered in terms of groups. Groups randomly chosen for sampling and then all members of the chosen groups are surveyed.

22
Q

Multi-stage random sampling

A

Groups randomly chosen from a population and the individuals in these groups are then randomly chosen to be surveyed.

23
Q

What are the 4 types of bias?

A

Sampling bias
Non-response bias
Household bias
Response bias

24
Sampling bias
Chosen sample does not accurately represent the population
25
Non-response bias
Likely only a few people who actually received questionnaire would return it
26
Household bias
Over representation of a particular group
27
Response bias
Factors in the sampling method that influence the result
28
Symmetrical distribution
Mode=median=mean
29
Bimodal distribution
Two modes
30
Left skewed distribution
(Tail is on the left) Mode>median>mean
31
Right skewed distribution
(Tail is on the right) mode
32
Uniform distribution
Looks like a straight line
33
Bin width
Histogram interval size Range data/number of bins
34
Deviation
The distance of a data point from the mean
35
Spread
How widely data is dispersed Less spread= greater confidence that values will fall within a particular range
36
Range
Difference between the largest and the smallest value
37
Quartile
One of three numerical values that divide a group of numbers into 4 equal parts
38
Interquartile range
Range between 1st and 3rd quartiles
39
Deviation
Mean-x
40
Variance
Measure of spread found by averaging the squares of the deviation calculated for each piece of data
41
Standard deviation
Square root of variance Useful measure of spread
42
What percentage of data will be within 1 standard deviation of the mean? (In a normal distribution)
68%
43
What percentage of day will be within 2 standard deviations if the mean? (In a normal distribution)
95%
44
What percentage of data will be within 3 standard deviations of the mean? (In a normal distribution)
99.7%
45
Z-score
The number of standard deviations the piece of data is below or above the mean. Can be used to find percentile