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Lecture 7

# SOAN 2120 Lecture Notes - Lecture 7: Square Root, Significant Figures, Standard Deviation

by OC802359

School

University of GuelphDepartment

Sociology and AnthropologyCourse Code

SOAN 2120Professor

David WaltersLecture

7This

**preview**shows half of the first page. to view the full**2 pages of the document.**September 29, 2016:

Standard Deviants Part 1: Video

Statistics: Smaller groups of numbers that tell a lot about a larger group of numbers; this

is the big picture.

Statistics is how to make sense of data.

Population: The group you need to know information about or gather data from.

Inference: Using one piece of information to infer about other information.

No one can survey all of America, hence you must use a sample or part of the population

to gather data.

And with that data he can make inferences on the rest of America.

Elements of Statistical Problems:

o Identify key question being asked and identify the population.

o Determine the design of the experiment. How much of the population. Survey,

observation.

o Establish a method to gather the data.

o Choose a procedure to interpret data.

o See how reliable you data is.

Analyzing the data:

o The first method of presenting data is using graphical display.

o The relative frequency histogram is the most common method; collects data into

classes.

o Next put data into the classes and we can then determine the frequencies of each

class.

o The distribution curve is similar to the bell curve and the histogram.

o Range = largest value – smallest value.

o Determine the amount of classes you are going to use, can’t be too many and

cannot be too small.

o Class Width = Range – Number of classes.

o Class boundaries; where classes end and begin.

o Data should sit between the boundaries not on a boundary.

o Significant digits is the number of decimal places you use, hence 3.1 has two

significant digits.

o You can add a significant digit, such as 0.5 to a class boundary to insure that no

data falls on a boundary.

o Class frequency; the number of measurements falling within each class.

o Class relative frequency; class frequency divided by the amount of values you

have.

Stem and Leaf display:

o Continue next class.

Calculate Standard Deviation:

find more resources at oneclass.com

find more resources at oneclass.com

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