Highlights
Question 1
Thomas Kuhn and Karl Popper provided pivotal insights about the way the scientific enterprise works. Outline what a paradigm shift is and how refutability works in the scientific enterprise.
Question 2
Explain what the fundamental basis of knowledge is and what use it has for a profession.
Question 3
Explain the difference between INDUCTIVE and DEDUCTIVE reasoning
Question 4
What is meant by “NORMAL SCIENCE” according to Thomas Kuhn?
Question 5
For an experimental design that has two groups where each group has a measure of performance, explain what kind of statistical test you would use. Would you also use a post-hoc or multiple comparison test? Why/why not?
Question 6
What is Pearson’s Correlation? Use a diagram to explain strength and magnitude.
Question 7
Table 2 is an extract of the t-distribution for the critical values of t. Following an experiment, the researchers have calculated the t-observed to be 1.71 with a sample of n = 16. Using Table 2, provide the basis to whether the outcome of the experiment is statistically significant for a one-tailed test. Explain how the level of significance might change by manipulating the sample size. Indicate your answer by making the appropriate markings on the table in addition to explaining your answer.

Question 8
Explain the fundamental differences between QUANTITATIVE & QUALITATIVE research approaches. Provide an example of each.
Question 9
Explain the difference between a null hypothesis and the alternative hypothesis. Provide an example of each with reference to an experiment which would require both kinds of hypotheses.
Question 10
Explain, in brief, the difference between using a Student’s t-test and an analysis of variance (ANOVA). Give an example of why you would use one and not the other.
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