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Class notes Statistics 1: an introduction

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  • December 14, 2023
  • 13
  • 2022/2023
  • Class notes
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  • 1, 2, 4, 5, 6, 7, 8
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Statistics 1
Lecture 1
Measurement levels
 A qualitative variable places each case into one of several groups (or categories)
o Label: no rank order, an identifier for each case
 Participant/case number, name
o Nominal: no rank order
 Hair colour, eye colour, bachelor programme
o Ordinal: rank order, distance between values is not the same
 Socio economics status, 2nd person to enter lecture hall
 A quantitative variable takes numerical values for which arithmetic operations, such
as adding and averaging make sense
o Interval: arbitrary zero, distance between values is the same, adding and
subtracting make sense
 temperature
o Ratio: non-arbitrary zero, multiplication and division make sense
 Weight, length, age
 Rare in social sciences

Looking at data
 Qualitative variables
o Graphical representations for categorical variables (nominal or ordinal)
 Pie chart
 Bar chart
 Quantitative variables
o Graphical representations for qualitative variables
 Stem and leaf plot
 Histogram

Describing distributions with numbers
 We can use a number to describe the “typical” score within a set of cases
 Measures of central tendency
o Mean: add up all values and divide by the number of cases
o Median: the value in the middle (when values are sorted low to high)
o Mode: the value that occurs most frequently
 Quartiles
o First quartile: value in the middle between the minimum and q2
o Median (q2): value un the middle
o Third quartile: value in the middle between q2 and the maximum
 Five number summary
o Minimum, q3, median (q2), q3, maximum
o Accompanied by a box plot

, Distributions
 Median
 Mean
 Variance
2
o s2= Σ(xi−x ̅ )
n−1
 Standard deviation


2
o σ = Σ ( xi−μ )
N
 Normal distributions
o Symmetric, single peaked, bell-shaped
 Standard normal distributions
o μ=0
o σ =1
o N (0 ; 1)
o To standardize a value, we use Z-scores
x−μ
 z=
σ
o 68, 95, 99.7 rule

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