Introduction to Statistics and Quantitative Research Methods

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What is statistics? • • • The collecting, summarizing, and analyzing of data. The term also refers to raw numbers, or “stats”, and to the summarization of data. Example: Frequencies
Statistics humour • • Why is a physician held in much higher esteem than a statistician? A physician makes an analysis of a complex illness whereas a statistician makes you ill with a complex analysis!
Page 1 and 2: Introduction to Statistics and Quan
Page 3: Statistics Defined • Statistics i
Page 7 and 8: Basic Steps • • • • • •
Page 9 and 10: Types of Statistics • • Descrip
Page 11 and 12: Levels of Data • • • • •
Page 13 and 14: • • • • Types of Variables
Page 15 and 16: 5 minute group exercise 3 Questions
Page 17 and 18: Back to stats….. Statistics made
Page 19 and 20: The Mean • • • • • “A s
Page 21 and 22: Mode What is a mode? • • •
Page 23 and 24: More about distributions • •
Page 25 and 26: Variance and Standard Deviation •
Page 27 and 28: Inferential Statistics • • •
Page 29 and 30: Goal of Statistical Analysis 1) 2)
Page 31 and 32: Hypotheses Alternative Hypothesis:
Page 33 and 34: Type 1 Error • • E.g. in a tria
Page 35 and 36: Type 1 and Type 2 Error Ho: H1: Rej
Page 37 and 38: • • • • • • • • Wha
Page 39 and 40: Confidence Intervals • • •
Page 41 and 42: Power Determining power depends on
Page 43 and 44: Parametric Tests • • • Parame
Page 45 and 46: Normality • How do you know if da
Page 47 and 48: Types of Analyses • • Bivariate
Page 49 and 50: Research Examples • • • Examp
Page 51 and 52: Assumptions • • • • • The
Page 53 and 54: Examples of Tests • • • •
Page 55 and 56:
Examples of Tests • • • • L
Page 57 and 58:
Conclusions • Statistics are vita
Page 59:
Introduction to Statistics and Quan
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Introduction to Statistics and Quantitative Research Methods

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