Inferential Statistics: Z-Score, Sample, Population, Normal Curve, Probability

Описание: Dr. Manishika Jain in this lecture explains Inferential Statistics: Z-Score, Sample, Population, Normal Curve, Probability
Particular score fitting in overall group of scores
how much it is above or below the average
I am good at maths (1 means not at all , 8 means very good) – mean is 4 and SD is 2. If I rate myself 8 it means it is 8-4=4. It is more than SD by 2.

The mean of any distribution of Z scores is always 0.
Sum of positive and negative scores is zero
Standard Deviation of Z Score distribution is 1
If a distribution of raw scores is positively skewed, the distribution of Z scores will also be positively skewed.


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Descriptive Statistics @0:09
Inferential Statistics @0:18
Z Score @1:45
Standard Deviations @4:36
Z Score & Raw Score @5:53
Deviation Score @7:11
Z Score Facts @7:29
Standard Score @8:42
Normal Curve @9:28
IQ Value @12:33
Example @13:30
Sample & Population @16:13
General Population @17:44
Process of Sampling @17:52
Haphazard Sampling @19:17
Random Sampling @19:30
Sampling @20:58
Population Parameter & Sample Statistic @21:24
Probability @23:08
Outcome @23:27
Expected Relative Frequency @23:40
Long Run Relative - Frequency @25:21
Subjective Interpretation of Probability @25:44
Range of Probability @26:53
Mutually Exclusive Outcomes @29:56
Addition Rules of Probability @30:14
Multiplication Rules of Probability @30:34
Conditional Rules of Probability @31:21
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