School

York UniversityDepartment

Kinesiology & Health ScienceCourse Code

KINE 2050Professor

Merv MosherStudy Guide

FinalThis

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Stats Study Notes

Statistics- Data used to make judgment (decision) about a situation

1. Descriptive - Polls and Survay

- Correlation

2. Inferential -Cause and effect relationships

Population > Parameter

Sample> Statistic

4 Levels of measurement

1. Nominal - (catigories, can only measure frequency)

2. Ordinal - Data is ranked (1st 2nd 3rd ) Don’t know how far they are from each

other, first might be 4 seconds and second might be 4.1 seconds or 10seconds

we don’t know we only know where it is in relation to other scores)

3. Interval- Equal points or units of measurement assigned but 0 is a value, so

therefore things cant be proportional. Ex tempature

4. Ratio- Measures the distance from 0 (zero means nothing) therefore

comparisons can be made, ex 50kg is half of 100kg. Weight, distance

Independent Variable- The one that is controlled or manipulated

Dependant- The one we see how it is effected

Frequency Distribution-

Ungrouped- each value has its own group (frequency of 1, 5 times/ frequency of

2 3 times/ frequency of 3 9 times)

Grouped- Values are put into intervals (frequency of 1-3, 17 times. Frequency of

4-6 10 times)

Making intervals

- Find N of scores

- Look up #of intervals for that N on the chart

- i=(biggest value- smallest value)/ # of i

Shapes of Curves

Normal Distribution = Bell curve (mean = median= mode)

Bimodal= 2 modes (usally when you have 2 characteristics )

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