Describe the normal distribution and why it is important for quantitative data analysis.
What will be an ideal response?
• Normal Distribution: Illustrates the assumption that the majority of values or scores you observe are located near the mean
o Students might define skew, which refers to the degree to which scores or values cluster above or below the mean
• Understanding the normal curve and skew is important as it ultimately relates to the shape of the data and the underlying distribution of scores
• It is important to know whether or not the data are normally distributed because of the assumptions you will then be able to make about your dataset and therefore which statistical tests you can use
o Parametric vs. non-parametric data and the statistical tests that correspond to each of these. If data is non-parametric, than different inferential statistics will be used
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Refer to Exhibit 6-2. The most frequently occurring score is
a. 57. c. 52.4 b. 75.33. d. none of these are true.
In any stage theory, the quality of what happens at one stage is different from what happens at other stages.
Answer the following statement true (T) or false (F)
Explain how teachers can improve their teaching of reading and allow time for literature, even if they are required to use a basal reading program.
What will be an ideal response?
Which of the following is NOT considered a major component of most lesson plans?
a) Lesson procedure. b) Goals and Objectives. c) Homework. d) Materials. e) Transitions.