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Module Two Introduction
Statistical research typically begins with a question that is stated clearly with as much detail as possible so the variable, population, sample, and sampling method can be identified. Then, we begin the study by collecting the data from the participants.
After you have collected the data for a statistical research study, what will you do with it? The data should be organized so we can analyze the information and ultimately reach a conclusion or answer to the research question.
Data can be described and presented in many different formats. In this module, you will study numerical and graphical ways to describe and display the data. This area of statistics is called “Descriptive Statistics”. In this module, you will learn how to calculate, and even more importantly how to interpret these measurements and graphs.
Module 2 Introductory Video
While the topic may seem out of place, probability is the underlying foundation on which the important methods of inferential statistics are built. You have, more than likely, used probability. In fact, you probably have an intuitive sense of probability. Probability deals with the change of an event occurring. It is often necessary to "guess" about the outcome of an event in order to make a decision.
Politicians study polls to guess the likelihood of winning an election. Teachers choose a particular course of study based on what they think students can comprehend. Doctors choose the treatments needed for various diseases based on their assessment of likely results. You may have visited a casino where people play games chosen because of the belief the at the likelihood of winning is good. You may have chosen your pathway based on the probable availability of jobs. In the second part of this module, you will learn how to solve probability problems using a systematic approach, rather than "guessing".
COURSE OBJECTIVES
The student will be able to:
MODULE TWO OBJECTIVES
The student will be able to: