Unit 1 Flashcards
Number of units in a sample:
Sample size (n).
Quantitative variable:
Anything that can be measured numerically.
- A person’s height.
- The weight of a dog.
- The time it takes to drive to work.
Categorial variable:
- Nominal: Data is recorded as labels.
- Gender.
- Marital status.
- License plates.
- Ordinal: Data follows a “natural” order and makes sense.
- Birth month for people born in 1996.
- Service rating of a restaurant.
To show categorial variables we can use ____________.
- Bar charts.
- Pie charts.
To show quantitative variables we can use ____________.
- Histograms.
- Stem and leaf plots.
How do you find the range of values?
Maximum - minimum data value.
Define: Mean.
The average value. (Add up everything and divide by n)
Define: Median.
The middle value. (To find the location of the median: n+1/2)
Note that this just the location
Define: Outlier.
A point that falls far away from the majority of the data.
The median is _____ to outliers, while the mean is _____ to outliers.
Robust, not robust.
When a histogram is skewed to the left, it implies that the mean is _____ than the median.
Less.
Skewed to the left means the tail is on the left end.
When a histogram is skewed to the right, it implies that the mean is _____ than the median.
Greater.
Skewed to the right means that the tail is on the right end.
Interquartile range (IQR):
A measure of spread, covering the middle 50% of ordered data.
- To find Q1: Find the median, and then the median of your results (from smallest, to your median).
- To find Q3: Find the median, and then the median of your results (from largest, to your median).
How to interpret percentiles:
ie. I am in the 60th percentile for height, what does this mean?
ie. I score in the 80th percentile on an exam, what does this mean?
- Being in the 60th percentile means that 40% of the population is as tall, or taller than me.
- Scoring in the 80th percentile means that 20% did as good, or better than me on the exam.
What is included in the 5 number summary?
- Minimum
- First quartile
- Median
- Third quartile
- Maximum