PSYCHOLOGYS HISTORY APPROACHES
SCIENTIFIC FOUNDATIONS OF PSYCHOLOGY
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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indicates the average difference between each score in a group and the mean for that group of scores
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reveals the degree of skew for a a group of scores
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is sensitive to scores at the extremes of a distribution of scores
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is used to determine whether a data set is positively or negatively skewed
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Detailed explanation-1: -Standard deviation (SD) is a widely used measurement of variability used in statistics. It shows how much variation there is from the average (mean). A low SD indicates that the data points tend to be close to the mean, whereas a high SD indicates that the data are spread out over a large range of values.
Detailed explanation-2: -The standard deviation measures the dispersion or variation of the values of a variable around its mean value (arithmetic mean). Put simply, the standard deviation is the average distance from the mean value of all values in a set of data.
Detailed explanation-3: -Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out. A standard deviation close to zero indicates that data points are close to the mean, whereas a high or low standard deviation indicates data points are respectively above or below the mean.
Detailed explanation-4: -The standard deviation is the average amount of variability in your dataset. It tells you, on average, how far each value lies from the mean. A high standard deviation means that values are generally far from the mean, while a low standard deviation indicates that values are clustered close to the mean.
Detailed explanation-5: -Standard deviation calculates the dispersion of a dataset relative to its mean. If the data points are away from the mean, there is a higher deviation within the data set. Hence, the more spread out the data, the greater the standard deviation. Standard deviation cannot be negative.