Chapter 1 Test Flashcards

(36 cards)

1
Q

Residual Equation

A

4th Residual;

R4 = y4 - [f(x4)]

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2
Q

What is the correlation coefficient and what does it provide

A

The “r” value and provides direct (+ or -) and the strength

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3
Q

What is the coefficient of determination and what does it tell

A

It is the “r^2” value. It shows the strength. The percentage shows the percentage of variance in the “y” that’s a result of the variance in the “x”

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4
Q

How to convert “r” to “r^2”

A

Square the “r” value

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5
Q

How to convert “r^2” to “r”

A

You square root the “r^2”

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6
Q

What is a class interval

A

Spread of values within an individual category

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7
Q

What is a frequency table used to do

A

List variables and their frequency

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8
Q

6 discrete/categorical graphs

A
  • Frequency table
  • Stem-Leaf graph
  • Pictograph
  • Bar graph
  • Scatter plot
  • Circle graph
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9
Q

3 Continuous graphs

A
  • Histogram
  • Broken line Graph
  • Circle Graph
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10
Q

What is a sample and what is the minimum percent of population required to be surveyed

A

Part of population used to collect info about the whole population and minimum of 20%

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11
Q

What is a Casual Relationship

A

When one variable directly affects the other

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12
Q

What is a census

A

When you ask everyone in a population rather than a sample

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13
Q

2 things about making a Thesis

A
  • NEVER say “clearly seen”, act like u haven’t seen the data

- Compare variables rather than people

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14
Q

What is the range for a STRONG correlation

A

0.7

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15
Q

What is the range for a WEAK correlation

A

0.3

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16
Q

Cross sectional study

A

Study that considers individuals from different groups at the same time

17
Q

Longitudinal study

A

Study of a single group (or sample) over a long period of time

18
Q

Time series data

A

Data that has been accumulated over a long period of time

19
Q

Quantitative variables

A

Variables that can be measured numerically

20
Q

Qualitative variables

A

variables that can’t be measured numerically

21
Q

Discrete data examples

A
  • Number of people

- Number of cars

22
Q

Examples of categorical

A
  • “people that like school”

- “people that like the colour blue”

23
Q

Examples of continuous

A
  • weight
  • age
  • time
24
Q

What is random sampling and why is it used

A

Sampling occurring by chance and is used to minimize bias

25
How to find sampling interval
Population size / Sample size
26
What are the 6 Random Sampling Techniques
1. Simple 2. Systematic 3. Stratified 4. Cluster 5. Multi-Stage 6. Destructive
27
What is Simple Random Sampling
Where all people within the population are equally likely to be selected to be used in the sample group
28
What is Systematic Random Sampling
HELP
29
What is Stratified Random Sampling
Divides population into groups called "strata", a simple random sample is then taken from each stratum
30
What is Cluster Random Sampling
Organizes population into groups and then entire groups are randomly selected
31
What is Multi-Stage Random Sampling
Organizes population into groups and then a Simple Random Sample is taken from randomly selected groups
32
What is Destructive Random Sampling
Requires that the samples that are taken are destroyed in the process of testing (cars in crash tests)
33
What is "Bias"
An in intended influence in a data gathering method
34
4 Types of Bias
1. Sampling Bias 2. Non-Response Bias 3. Household Bias 4. Response Bias
35
When asked for "types of variables" what is it asking for?
Asking whether it is discrete, categorical, or continuous
36
What must you include in an Analysis
- "r" value - the word Strong, Weak, or No Correlation - whether it is positive or negative correlation - the percentage of relationship "r^2" - mention the residuals to help prove the correlation to be strong or weak - Use "after collecting the data" rather than "after taking the survey"