Exam 6: The Beast of Bias

We predict an outcome variable from some kind of model. That model is described by one or more _______ variables and ________ that tell us something about the relationship between the predictor and outcome variable.

When we talk about the assumption of normality, what do we mean?

In a small data sample (N = 20), what can we say about a z-score of 2.37?

A _____ is a numerical characteristic of a sample and a _____ is a numerical characteristic of a population.

A researcher investigating 'Pygmalion in the classroom' measured teachers' perceptions of male and female students' mathematical abilities. She wanted to test whether teachers perceived males as being better at maths by comparing teachers' mean ratings of 97 male and female students. Based on the output, what action should the researcher take before testing whether the mean teacher perceptions are different for male and female students?

To get a sample of a certain size, scores are taken one-by-one from the observed data and each time replaced. The parameter of interest (e.g., the mean or b in regression) is computed within the sample. This process is repeated numerous times. The resulting parameter estimates are used to compute a confidence interval. The process I am describing is:

Which of the following is not an assumption of the general linear model?

The assumption of homogeneity of variance is met when:

What does the graph below indicate about the normality of our data?

What does the graph below indicate about the normality of our data?

Looking at the table below, which of the following statements is correct?

When it is not necessary to use Levene's test?