Exam 8: Are Your Curves Normal? Probability and Why It Counts

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Which of the following is another name for the normal curve?

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D

Write the formula for calculating a z score.

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z=(X−Xˉ)sz = \frac { ( X - \bar { X } ) } { s }

What are the characteristics associated with the normal curve?

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Mean, median, and mode are equal to one another; perfectly symmetrical at the mean; tails of the normal curve are asymptotic.

What percentage of scores will fall between the mean and 1 standard deviation above the mean?

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How many standard deviations are included in a normal distribution with a mean of 100 and a standard deviation of 10?

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If a coin is flipped 10 times, how many combinations or outcomes are possible?

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What is the z score for a raw score of 85 where the group mean is 75 and the standard deviation is 5?

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If a z score of 1.65 included 45% of the area under the normal curve from the mean, what percent remains above 1.65 on the x-axis?

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What type of standard score has M = 0 and SD = 1?

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What percent of all scores fall below a z score of +1?

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Which of the following characteristics is associated with the "tails" of the normal curve?

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If you know the z score, standard deviation, and mean, what formula would you use to compute the raw score?

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If the z score is -.5 in a distribution with a mean of 50 and a standard deviation of 5, what is the raw score?

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If the null hypothesis claims that there is no difference between groups, what is the likelihood of no difference occurring assumed to be?

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Approximately what percent of scores fall between the mean and -1 to +1 standard deviations under the normal curve?

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Which of the following is a characteristic of the normal curve?

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If you fold a normal curve, each half would fit perfectly on top of the other. This characteristic is known as _______________.

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Approximately what percent of scores fall between -1 and -2 standard deviations under the normal curve?

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What do standard scores allow researchers to do that raw scores cannot?

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How is the T score calculated?

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