Which Of The Following Is A Computed Measure Of How Much Scores Vary Around The Mean?

by | Last updated on January 24, 2024

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Two measures of variation are the range (which describes the gap between the highest and lowest scores) and the standard deviation (which states how much scores vary around the mean, or average, score).

Is a computed measure of how much scores vary around a mean score?

A B standard deviation a computed measure of how much scores vary around the mean score. normal curve a symmetrical, bell-shaped pattern of plotted data that describes the distribution of many types of data

How much the scores in a data set vary from each other and from the mean refers to the concept of?

Variability refers to how spread apart the scores of the distribution are or how much the scores vary from each other.

How much the scores in a data set vary from each other?

The standard deviation provides a measure of the overall variation in a data set. The standard deviation is always positive or zero. The standard deviation is small when the data are all concentrated close to the mean, exhibiting little variation or spread.

Which of the following is a measure of the degree of variation among a set of events?

The coefficient of variation represents the ratio of the standard deviation to the mean, and it is a useful statistic for comparing the degree of variation from one data series to another, even if the means are drastically different from one another.

How far scores vary from the mean?

The standard deviation is the average amount by which scores differ from the mean. The standard deviation is the square root of the variance, and it is a useful measure of variability when the distribution is normal or approximately normal (see below on the normality of distributions).

Which of the following is the most commonly used measure of central tendency?

The mean is the most frequently used measure of central tendency because it uses all values in the data set to give you an average.

What are the three measures of dispersion?

This is given by the measures of dispersion. Range, interquartile range, and standard deviation are the three commonly used measures of dispersion.

Which of the following is a measure of central tendency?

There are three main measures of central tendency: the mode, the median and the mean . Each of these measures describes a different indication of the typical or central value in the distribution.

Which of the following is not a measure of central tendency?

Standard deviation is not a measure of Central tendency. Mean, Median and Mode are the measure of Central tendency. MODE is the value of the observation which has the maximum frequency.

What is the best measure of variation?

The interquartile range is the best measure of variability for skewed distributions or data sets with outliers.

Which of the following is a measure of spread?

Measures of spread include the range, quartiles and the interquartile range, variance and standard deviation.

What is the impact of outliers on the range?

Outliers can affect all measures of central tendency . When a small set of data has an outlier, the mean is usually affected more by the outlier than the median. Some outliers are just as important as the other data values, while others are better removed from the data set.

Which of the following is a measure of the mean variations?

The standard deviation is a measure of variation based on measuring how far each data value deviates, or is different, from the mean.

What is the arithmetic average of distribution of scores?

The Mean is the arithmetic average of the scores ( a.k.a. the “arithmetic mean”). It is equal to the total of all values divided by the number of values. The Median is the score that divides the numerical distribution in half,where 50% of the values fall below and 50% fall above.

Which perspective most clearly focuses on how we learn observable responses?

Question Answer Which perspective is most concerned with how individuals interpret their experiences? cognitive Which perspective most clearly focuses on how we learn observable responses? behavioral
Sophia Kim
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Sophia Kim
Sophia Kim is a food writer with a passion for cooking and entertaining. She has worked in various restaurants and catering companies, and has written for several food publications. Sophia's expertise in cooking and entertaining will help you create memorable meals and events.