Workgroup Answers with Inferential Statistics at the Leiden University - 2018/2019
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Workgroup notes with Inferential Statistics at the Leiden University - 2018/2019
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This file contains the answers to my preparatory assignments for the course Inferential Statistics, Leiden University.
The answers can be found in the corresponding download file (right column)
What symbols are used for the population mean and the sample mean?
What is the difference between the H0 and the Ha?
What is the definition of a p-value?
What is the definition of the rejection criterion α?
Select the correct response(s). (More than one may be correct.) The p-value for testing H0 : µ = 100 against Ha : µ is not 100 is p = .001. This indicates that:
1. There is strong evidence that µ = 100.
2. There is strong evidence that µ is not 100.
3. There is strong evidence that µ > 100.
There is strong evidence that µ < 100.
If µ were equal to 100, it would be unusual to obtain data such as those observed.
It is important that you understand the difference between a sample and a population, and that you understand the difference between the symbols for them. A sample is the one test result set that a research or investigation delivers, or one group of people from one specific experiment, while a population is an overview of anybody who fits to the requirements. Below is a table of different symbols for the two different situations.
Parameter | Population | Sample |
Mean | µ | x̄ |
Probability | P | P |
Standard Deviation | σ | S |
What is meant by events A and B being independent?
What is meant by events A and B being disjoint?
Can disjoint events be independent from each other?
What are the formulas for the:
General additive rule
Additive rule for disjoint events
Complement rule
General multiplicative rule
Multiplicative rule for independent events
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