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Read the summary and the most important questions on IQM
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Week 1
This is a preview. There are 8 more flashcards available for chapter 04/10/2015
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There are qualitative variables and Quantitative variables. What are they? Also name the order of importance.
Qualitative
1. Nominal
2. Ordinal
Quantitative
3. Discrete
4. Continious
A variable can always be treated as a variable of a lower type. -
What is a sample?
A (small) subset of the population for which observations are gathered -
Which for graphs can be used to visualize data?
- Pie chart
- Bar Chart
- Histogram
Data can be bell shaped -
How does a positive skewed graph look like? And negative?
Positive is high on the right side.
Negative is high on the left side -
What data is relevant drawing a boxplot?
Median
Q1, Q2 & Q3
Outliers
IQR
Lower fence
Upper fence
Lower whisker
Higher whisker -
What is the Median, Q1 and Q2 of a boxplot?
The Median is Q2, the middlest value of a data range.
Q1 is the middel of the first side. Q3 is the middle of the last side -
What are outliers? (boxplot)
Highly extreme values that fall outside the boxplot -
What are lower Whiskers and Upper Whiskers?
Lower whiser: Ends at the lowest value within fence
Upper whisker: Ends at the highest value within fence -
Week 3
This is a preview. There are 3 more flashcards available for chapter 06/10/2015
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What is meant with the central limit theorem?
If n is large (>30) then the sample mean is approximately normally distributed, even when the data are not from a normal distribution. (X is not normal).
The result of the sample mean normally distributed while the population is not is called the central limit theorem. -
What is the standard Error Mean?
Usually the standarddeviation is unknown. That is why we use the standard error of the sample mean in place. It is itnterpreted as the (estimated) variability of the sample mean.
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