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Creating New Learning Experiences Less Anxiety Provoking

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04- Z scores
Slide 1: Hello! I hope this powerpoint finds you well. I realize that this is a rigorous course and that you may be feeling discomfort as you navigate new terms and concepts. In practice courses, brain will recall concepts that are familiar making new learning experiences less anxiety-provoking. However, when learning research and statistics few students have little memory of previous learning of this topic to reduce discomfort. That said, it is important for you to recognize and appreciate your growth during this course as well as to balance your activities. Being an online student, I imagine that you are very busy assuming many roles. Therefore, I suggest that you engage in a pleasurable activity at least every day – for …show more content…

Slide 3: A Z-score informs us if a variable’s score or value is equal, below, or above the mean. It also determines the exact proportion or percentage of scores that fall between any two scores of normally distributed scores. This sounds similar to the standard deviation; however, standard deviations are set values that fall on a distribution; whereas, Z-scores or values may lie anywhere on the normally distributed curve. Hold that thought and I will go into greater detail as we progress.
Slide 4. The following is a good guideline to understand Z scores and their relationship to standard deviations.
Slide 5: Let’s look at a normal curve, using Z scores. On the left, we see a distribution title Positive Z. Look at the highlighted area, B, which represents the percentage of scores or values between the mean and a particular Z-score above the mean. This Z score represents a positive Z-score as it is to the right of the mean. Notice that the area to the left of the mean equals 50% of the scores or values of a variable. Remember we have symmetry of the curve on both sides or 50% of scores or values on both sides.

On the right, we see a normal curve with a highlighted area, B, which represents the percentage of scores or values between the mean and a particular Z-score below the mean. This represents a negative Z-score.

Slide 6: Before we move on, it might help you to learn the formula for obtaining a Z-score. A Z-score equals the raw score of a

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