QU1 mod 1 Flashcards

1
Q

Why do we care about statistics

A

statistics is a way to get information from data

data not information

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2
Q

what is data

A

data is a set of numbers that represents some type of metric or measurement

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3
Q

what is information

A

is what the data means

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4
Q

What is a population

A

set of all values under consideration (large number, used for stats canada every 5 years?)
- more time, more money to conduct
better quality of information

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5
Q

What is a sample

A

a sample is a smaller number being considered than a population

  • less time and money to conduct
  • less quality of information
  • used more often
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6
Q

What is descriptive statistics

A

how data is organized, described an presented:

  • mean(average), variance, range etc
  • organized and presented using charts
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7
Q

What is inferential statistics

A

drawing conclusions about the population based on the sample’s data

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8
Q

What is confidence level

A

confidence level = percentage of times we expect the conclusion drawn from the sample to be right as compared to the population

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9
Q

What is significance level

A

significance level = percentage of times we expect the conclusion drawn from the sample to be wrong as compared to the population

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10
Q

what are the factors that would affect the confidence/ significance level?

A
  • size of sample
  • representation

better samples = more confidence

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11
Q

What is important to know for populations vs samples

A

whether the data is full population or sample data

  • different methods are used on samples than populations
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12
Q

What population calculations called

A

parameters

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13
Q

what are sample calculations called

A

statistics

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14
Q

What is a variable

A

a characteristic of a population or sample that is of interest

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15
Q

What is data

A

set of observed values for a variable

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16
Q

what is interval data

A

quantitative, numerical (count, dollar value, weight etc)

17
Q

What is nominal data

A

Qualitative, categorical

colour, location, model, status etc

18
Q

What is ordinal data

A

rating or ranking

rate as high, medium, low; or ranking from worst to best

19
Q

What are the types of data?

A
  1. interval data
  2. nominal data
  3. ordinal data
20
Q

how is nominal data usually shown (organized and presented)

A

using charts, focusing on frequency distribution (how many times each category occurs)

  • bar chart (number of times each category is observed)
  • pie chart (% of times each category occurs), works best with fewer categories
  • tables (not used as much, not as each to use)