Chapter 1 Test Flashcards

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
Q

How to find sampling interval

A

Population size / Sample size

26
Q

What are the 6 Random Sampling Techniques

A
  1. Simple
  2. Systematic
  3. Stratified
  4. Cluster
  5. Multi-Stage
  6. Destructive
27
Q

What is Simple Random Sampling

A

Where all people within the population are equally likely to be selected to be used in the sample group

28
Q

What is Systematic Random Sampling

A

HELP

29
Q

What is Stratified Random Sampling

A

Divides population into groups called “strata”, a simple random sample is then taken from each stratum

30
Q

What is Cluster Random Sampling

A

Organizes population into groups and then entire groups are randomly selected

31
Q

What is Multi-Stage Random Sampling

A

Organizes population into groups and then a Simple Random Sample is taken from randomly selected groups

32
Q

What is Destructive Random Sampling

A

Requires that the samples that are taken are destroyed in the process of testing (cars in crash tests)

33
Q

What is “Bias”

A

An in intended influence in a data gathering method

34
Q

4 Types of Bias

A
  1. Sampling Bias
  2. Non-Response Bias
  3. Household Bias
  4. Response Bias
35
Q

When asked for “types of variables” what is it asking for?

A

Asking whether it is discrete, categorical, or continuous

36
Q

What must you include in an Analysis

A
  • “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”