Exam 5: Data Analysis in Quantitative Studies

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Define central tendency. Define and describe the three main measures of central tendency.

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A soccer player who spends less time missing practice has more playing time. This is an example of a positive correlation.

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You are looking at a graph where the frequency of scores are represented by dots and connected by lines. What kind graph are you looking at?

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What is the null hypothesis? Discuss what is meant by rejecting the null hypothesis and failing to reject the null hypothesis.

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A mesokurtic graph essentially displays a normal distribution.

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Describe the visual characteristics of a normal distribution. (i.e., what are the key characteristics that define a normal distribution?).

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You are asked to compare means from three different samples. What kind of statistical analysis would you use?

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Statistics are subjective ways of interpreting observations and help researchers address research questions and problems.

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Define variability and list three common measures of variability.

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Negatively skewed distributions occur when the highest frequency of scores cluster around the y-axis.

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Platykurtic scores suggest that scores are equally distributed across the entire distribution.

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Define modality and mode and roughly sketch a unimodal, bimodal, and trimodal distribution.

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The probability of error in statistics is usually depicted by which of the following?

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Briefly describe how variance is calculated from the standard deviation. Why is the variance harder to interpret? How would you interpret both a large and a small standard deviation?

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The range is only calculated from extreme scores.

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You are comparing three different activity types and whether they affect physical activity levels (low, moderate and vigorous). This type of analysis would require a 3x3 factorial analysis.

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To reject the null hypothesis, the researcher needs to be confident that the results are not due to random chance or error. What is typically the minimum confidence level?

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The standard error of the mean is the nominator in all t-tests.

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The interquartile range is often visually depicted using a histogram.

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A dataset contains ordinal data with quite a few outlier values. Which measure of central tendency would you be more inclined to use?

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