Module 3: Descriptive Statistics Flashcards

1
Q

Variable

A

-any measurable characteristic of an observation unit and contains 3 pieces of information
1. what the variable represents (long jump distance)
2. measurement unit (cm)
3. description of observation unit (student)

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2
Q

Numerical variables

A

-data is numeric

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3
Q

Categorical variables

A

-data is a qualitative description

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4
Q

Continuous numerical variable

A

-can take on continuous numbers, including factors (104.23 kg)

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5
Q

Discrete numerical variable

A

-can only take on whole numbers (25 people)

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6
Q

Ordinal categorical variable `

A

-can take on qualitative values but where values are from a ranked scale (on a scale of 1-5 how happy are you)

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7
Q

Nominal categorical variable

A

-can take on qualitative values but where values do not have any particular order

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8
Q

Counts

A

-number of sampling units in each category (number)

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9
Q

Proportions

A

-the share of the total sampling units in each category (percentage)

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10
Q

Central tendency

A

-describes typical value in your sample (mean) using counts and proportions

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11
Q

Dispersion

A

-describes the spread of the values

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12
Q

Quartiles

A

-sort data in your sample from lowest to highest value
-find second quartile by splitting data in half
-find first quartile by creating a subset that is the lower half of the values and splitting that in half
-find third quartile by doing this but with upper values

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13
Q

Central tendency

A

-given by the second quartile (median)

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14
Q

Interquartile range

A

-between the first and third quartiles

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15
Q

Effect size

A

-change in mean value of the response variable among groups and it allows us to put study results into context

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16
Q

Calculating effect size

A

-difference calculations: difference in mean values among groups (starbs coffee is $2.10 and tims is $1.79, so starbs coffe is $0.31 more expensive0
-ratio calculations: ratio of mean values among groups ($2.10/$1.79= 1.17, so 17% more expensive)