Notes on page 331-351

There are 2 main types of sampling Spatial sampling Temporal sampling. Spatial sampling The samples that had many possible chance about where they can from. Temporal sampling The samples that are discovered in different period of time. Random sampling The sample that being pick by random set of numbers Systematic sampling The way to pick sample a more faster and easy way, choose by the same time. Stratified Sample Dividing items into groups and sampling random items from each group. Sample Size Selecting appropriate samples. It depends on nature, aims of the investigation, and time available.Mean or average Descriptive statistics There are many types of descriptive statistics:Maximum, minimum and range between them(Maximum-minimum) Mode: a group or class that occurs most often. Median: middle value when numbers are in ascending and descending order. (add up all numbers and divided by the amount of numbers) Three different types of data Nominal data: Objects that have names. Ordinary or ranked data: Place in ascending and descending order. Interval or ratio data to real numbers: Interval data has no true zero except for temperature. Ratio data has a true zero such as rainfall. Sampling error or standard error When the the result actually near the true result or not. Confidence limits The idea based that people assume that date sample had a normal joining/grouping. Clustered Being close and in order together. Bar charts Using multi colors bars to compare something Pie charts a circle chat that is good to dividing sections into separate sections. Standard deviation  A measure of the processing of a set of data from its mean. Dispersion diagrams Imagined a gram upward line with dots and like the temperature monitor. Kite diagram           Lines graph that with points it can be drawn as a kite and many other shape shapes.