2 Why are experiments said to be high in internal validity What are the unique

2 why are experiments said to be high in internal

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2. Why are experiments said to be high in internal validity? What are the unique features of experiments that help us meet the three requirements for establishing a causal relationship? What are the three requirements for establishing a causal relationship? 3. Be familiar with the different threats to internal validity that can plague experiments. 4. What does it mean that two variables are positively associated, negatively associated, or  not correlated? 5. Know the difference between mean, median, and mode. Know how inferential and descriptive statistics differ. 6. Be able to calculate a chi-square statistic and determine whether it reveals a statistical relationship between two variables. This will require that you perform the same procedures that we went over in class. This will be on the test! 7. In the data analysis lab (see the handout online), I described when to use four different statistical tests to determine if two variables are related to one another. When is a chi-
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square test the appropriate procedure? When is a bivariate regression appropriate? When is a t-test appropriate? [Hint: Answering this question requires that you consider whether
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  • Spring '19
  • Statistics, Null hypothesis, Statistical hypothesis testing, Solomon Four-Group Design

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