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Class Notes for PSY30100 at University of Notre Dame (ND)

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NDPSY30100Guangjiang ZhangFall

PSY30100 Lecture Notes - Lecture 6: Central Limit Theorem, Standard Deviation, Sampling Distribution

OC9498841 Page
30 Sep 2016
4
Samples offer a partial image of a population. This means that parts of the complete picture tend to be missing. i. e. there is usually a sampling erro
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NDPSY30100Guangjiang ZhangFall

PSY30100 Lecture Notes - Lecture 13: Mode 9

OC9498842 Page
10 Oct 2016
7
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NDPSY30100Guangjiang ZhangFall

PSY30100 Lecture Notes - Lecture 4: Variance, Statistic, Statistical Parameter

OC9498842 Page
11 Sep 2016
1
Variability measures tell us how much scores differ by or how spread out they are. Central tendencies describe the central point of the distribution an
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NDPSY30100Guangjiang ZhangFall

PSY30100 Lecture Notes - Lecture 10: Confidence Interval

OC9498842 Page
10 Oct 2016
2
Since (cid:449)e don"t ha(cid:448)e , we cannot calculate z-scores. However, we can use sample s to estimate the z-score in the form of t-scores. In mo
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NDPSY30100Guangjiang ZhangFall

PSY30100 Lecture Notes - Lecture 8: Null Hypothesis, Sampling Distribution, Statistical Hypothesis Testing

OC9498842 Page
30 Sep 2016
5
A hypothesis test is a statistical method that uses sample data to evaluate the integrity of a hypothesis about the population. General goal to show th
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NDPSY30100Guangjiang ZhangFall

PSY30100 Lecture Notes - Lecture 7: Statistical Parameter, Standard Deviation, Sampling Distribution

OC9498842 Page
30 Sep 2016
5
Sampling distribution of sample mean parameters - , m. In a normal distribution, 95% of scores are within 1. 96 sd of the mean. Similarly, in a normal
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NDPSY30100Guangjiang ZhangFall

PSY30100 Lecture Notes - Lecture 2: Percentile, Interpolation, Bar Chart

OC9498843 Page
6 Sep 2016
0
After collecting data, it must be organised and simplified. Frequency distributions tell us where the highest scores are, where the lowest scores are,
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NDPSY30100Guangjiang ZhangFall

PSY30100 Lecture Notes - Lecture 9: Null Hypothesis, Type I And Type Ii Errors, Statistical Hypothesis Testing

OC9498842 Page
10 Oct 2016
1
Suppose the population mean =80 before treatment and sample mean m=85 after treatment. The difference in and m may not have been caused by the treatmen
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NDPSY30100Guangjiang ZhangFall

PSY 30100 Lecture 12: SPSS Identifying Measuring Scales

OC9498841 Page
10 Oct 2016
4
Nominal if the values of the variable describe groups of individuals or qualitative characteristics of individuals, the scale used is nominal. The vari
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NDPSY30100Guangjiang ZhangFall

PSY30100 Lecture Notes - Lecture 1: Operational Definition, Mode X, Level Of Measurement

OC9498842 Page
31 Aug 2016
2
Variable - a characteristic/condition that can change or take on different values. Most research questions start by questioning the relationship betwee
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NDPSY30100Guangjiang ZhangFall

PSY 30100 Lecture 5: z-scores

OC9498841 Page
30 Sep 2016
1
Raw scores are transformed into z-scores which tell us where the score is located relative to others. Standardisation is the conversion of raw scores i
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