Module 1 Flashcards

1
Q

What is an element?

A

an entity on which data is collected.

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2
Q

What is the nominal scale of measurement?

A

labels, names, numerical codes - things we can’t math.

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3
Q

What is the ordinal scale of measurement for?

A

Like nominal but there’s a ranking system (i.e.: good, better, best).

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4
Q

What is the interval scale of measurement?

A
  • Like ordinal but intervals are a fixed unit of measure.
  • Always numerical.
  • Generally have one numerical value in their calculation that doesn’t actually hold a lot of meaning (might take a categorical value into account).
  • i.e. SAT scores
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5
Q

What is a Ratio scale of measurement?

A

Like interval, but the ratio of two values is meaningful. I.e. distance, height, weight, time. Requires a 0 value.

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6
Q

What are the two classes of data?

A

Categorical
Quantitative

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7
Q

What scales are used for categorical data?

A

Nominal or ordinal

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8
Q

What scales are used for Quantitative data?

A

Interval and Ratio.

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9
Q

What are the two types of data series?

A

Cross-sectional
Time series

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10
Q

What is time-series data?

A

Collected across time

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11
Q

What is cross-sectional data?

A

collected at roughly the same point in time.

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12
Q

What’s an observation?

A

The set of measurements obtained for each element is one observation.

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13
Q

What’s the difference between a census and a sample survey?

A

Census = population
Sample survey = sample

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14
Q

What are the three types of analytics?

A

Descriptive
Predictive
Prescriptive

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15
Q

What are the three v’s of big data?

A

Volume
Velocity
Variety

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16
Q

What’s a frequency distribution?

A

Tabular summary of how often each thing in each category happened.

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17
Q

What’s the difference between a frequency distribution, a relative frequency distribution, and a percent frequency distribution?

A

Frequency = #
Relative frequency = proportion
Percent = %

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18
Q

How do we create classes for data?

A
  • Non-overlapping
  • 5 - 20
  • same width
  • round the width of the class so it’s not a ton of decimal points
  • class limits: each data item should only belong in one class
  • same number of digits as data
  • use open-ended classes (either no upper or no lower limit) for the ends as a catch-all to simplify things
19
Q

How do we calculate the widths for a pie chart?

A

Relative frequency * 360 degrees

20
Q

What does a dot-plot look like?

A
21
Q

What does a histogram look like?

A
22
Q

What does a cumulative frequency distribution look like?

A

Shows the number of data items with values less than or equal to the upper class limit of each class, so each successive class includes all the ones before it.
Last number will always be the total.

23
Q

What does a stem-and-leaf display look like?

A

The first digit of the data point goes on the left, and the second digit for any data point that starts with the same first digit is put beside it. For bigger numbers use a “leaf unit” = 10, etc.

24
Q

What is a cross-tabulation?

A
  • tabular summary for two variables.
    • May be different types of data.
    • Finds relationship between two variables.
      ***don’t forget the column and row totals!
25
Q

What is Simpson’s Paradox?

A

Data in two or more crosstabulations that are summarized may actually show a reverse relationship to what was shown when the data wasn’t aggregated.

26
Q

What is a side-by-side bar chart?

A
27
Q

What is a stacked bar chart?

A
28
Q

How do we create a display?

A
  • Title
  • Simple
  • Axis labels
  • Unit of measure
  • Distinct colours
  • Legend
29
Q

Which types of displays show distribution?

A
  • Bar chart
  • Pie chart
  • Dot plot
  • Histogram
  • Stem-and-leaf
30
Q

What types of displays are used to make comparisons?

A
  • Side-by-side bar chart
  • Stacked bar chart
31
Q

What types of displays are used to show relationships?

A
  • Scatter diagram
  • Trendline
32
Q

What do we use to denote the mean for a sample?

A

xbar

33
Q

What do we use to denote the mean for a population?

A

mu

34
Q

Why is median sometimes preferred to mean?

A

Median is not influenced by outliers.

35
Q

When can we not use the mean?

A

Financial growth data - need to use the geometric mean for that.
When observations have different levels of importance - use weighted mean for that.

36
Q

What do s and sigma mean?

A

s = sample standard deviation
sigma = population standard deviation

37
Q

What are the traits of a symmetric distribution?

A

mean = median
skewness = 0

38
Q

What traits does a right - skewed distribution have and what does it look like?

A

mean > median
skewness > 0

39
Q

What traits does a left-skewed distribution have and what does it look like?

A

Mean < median
Skewness < 0

40
Q

What is a Standardized Value?

A
  • z-score
  • the number of standard deviations xi is away from the mean.
41
Q

What does a negative, positive and 0 z-score mean?

A

a) - = xi < mean
b) + = xi > mean
c) 0 = xi = mean

42
Q

How do we know something is an outlier?

A

z >3
z< -3
outside of Q1 - 1.5 IQR or Q3 + 1.5 IQR

43
Q

What’s in a five number summary?

A

Smallest
Q1
Q2
Q3
Largest

44
Q

What does a box-plot look like?

A