Study Guide

Objectives

The student
- is able to use a computer to calculate basic statistical values
- is able to illustrate statistical data with suitable graphs.
- is able to interpret material using graphs and key values
- knows the basics of regression and correlation.
- is able to calculate the confidence interval of the sample and is able to use it for example hypothesis testing
- can calculate probabilities both theoretically and by computer simulating.

Content

The concept of probability, the most common distributions, eg. normal, binomial, t and poisson distribution. Principles of statistical testing, processing of measurement data on a computer and graphical representation of it.
Use and importance of key statistical indicators. Use of regression techniques in modeling and predicting measurements.

Assessment criteria, satisfactory (1-2)

The student understands the difference between the population and the sample. The student is able to calculate the mean, dispersion and position numbers from the sample. The student is able to design simple experimental designs for statistical research and illustrates the results both graphically and numerically. The student understands the basics of distributions.

Assessment criteria, good (3-4)

In addition to the before mentioned, the student is able to apply statistical thinking in handling different research settings and measurement sets. The student masters the basics of statistical reasoning when processing different sized samples. The student understands the importance of the results of regression analysis.

Assessment criteria, excellent (5)

In addition to the before mentioned, the student has a comprehensive understanding of the course topics and their use in problem solving as well as the ability to present and justify logically selected solutions.