Statistics: Week 1



Week 1: Discussed some data categorization and graphs

Day 1:
General introduction to the course and data categorization.

There are two types of data: categorical and quantitative

Quantitative data can then be either discrete or continuous. Discrete data is counted, like money, while continuous data is measured, like height.

Day 2:
Learned about Dot plots and Stem plots.

Dot plots are plots with dots.They're just numberlines with dots above them, one dot for each data point.

Stem plots (featured to the bottom right) have stems and leaves. The side with one number per row is the stem. The other side contains the leaves. In this case, the data values are 19, 22, 25, 26, etc. For stem plots be sure to add a key. ex. "1 | 9 = 19"

Be sure to title and label the axes of all your graphs.

Day 3:
Learned about histograms and ogives. Histograms (underneath the Stem plot) are bar graphs with bars that represent certain set ranges. If given a data set, first organize the data into a table with established ranges that you want to graph.

Histograms can also be made to represent percentages and cumulative data.

Ogives (very bottom) are graphs of the percent cumulative frequency of data. This means that it graphs the percent of the data set that falls under the x-axis value.

Tests
This Week Tests: None

Future Tests: Quiz #1 next week