Lecture 1 Flashcards

(24 cards)

1
Q

What is statistics?

A

A collection of procedure and principles for gaining and analyzing information to educate people and help them make better decisions when faced with uncertainty

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2
Q

What is data?

A

a collection of numbers or other pieces of information to which meaning has been attached

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3
Q

Types of Data

A

Qualitative

Quantitative

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4
Q

Qualitative data

A
  • non numeric (can sometimes have numbers but cannot be classified as numeric)
  • nominal: categories without order
  • ordinal: categories with order (universal - ex: 1 agree 5 disagree)
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5
Q

Types of Quantitative

A
  • ratio (discrete, continuous)

- interval (discrete, continuous)

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6
Q

Ratio

A

differences AND ratios are meaningful, natural starting point (meaningful 0)

  • discrete: countable number of possible values
  • continuous: infinite number of possible values
    ex: 1:10 girl to guy ratio
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7
Q

Interval

A

differences are meaningful, ratios are NOT meaningful

  • continuous: infinite number of possible values
  • discrete: countable number of possible values
    ex: Temperature (can’t say 40 is 2x hotter than 20 degrees)
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8
Q

Stem-plot

A

a quick and easy way to put a LIST of numbers into order while getting a picture of their shape

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9
Q

Truncate

A

used in stem-plot, drop off numbers instead of rounding them

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10
Q

Histograms

A

Pictures related to stem-plots

  • uses ranges
  • does not list every value
  • good for large number sets
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11
Q

Mean

A

sum of all the data values, divided by the number of data values (AVERAGE)

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12
Q

Mode

A

Value that occurs most often

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13
Q

Median

A

middle value of the data set when it has been arranged in ascending order (smallest to highest), often termed central tendency when there are out liars

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14
Q

Range of data set

A

difference between the highest and lowest values in the set

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15
Q

Measure of spread

A

Measures of spread describe how similar or varied the set of observed values are for a particular variable (data item)

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16
Q

Measure of shape

A

a distribution of data item values may be symmetrical or asymmetrical

  • normal distribution
  • skewed districution
17
Q

Right skew

A
  • when the tail on the right side of the histogram is longer than the tail on the right and the mean is higher than the median
18
Q

Left skew

A
  • when the tail on the left side of the histogram is longer than the right and the mean is lower than the median
19
Q

Bin-Width

A

how big of an interval to use for each bar in a histogram

20
Q

Range

21
Q

Standard Deviation

A

roughly the average distance of values from their mean

22
Q

Variance

A

standard deviation squared

23
Q

percentile

A

a value below which a particular percentage of data points lie (median - 50th percentile)

24
Q

Quartiles

A

divide the order date into 4 equal sized groups

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