Readers ask: What Would Be The Values Of The Measures Of Variation If The Tuna Sushi Contained No Mercury?

What important feature of the data is not revealed by any of the measures of center?

Answer: c. Measures of variation reveal nothing about the pattern over time. The measures of variation are the range, interquartile range, variance and standard deviation.

Which measure of variation is sensitive to extreme values?

The standard deviation as a measure of variation is very sensitive to extreme values. This is because, in the calculation of standard deviation, the distances between individual data points and the mean of the set are squared.

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Do the results make sense a while the measures of variation can be found they do not make sense because the data are nominal They don’t measure or count anything b the measures of variation do not make sense because the standard?

the measures of variation reveal nothing about the pattern overtime. Biologists conducted experiments to determine whether a deficiency of carbon dioxide in the soil. while the measures of variation can be​ found, they do not make sense because the data are​ nominal; they ​ don’t measure or count anything.

Which data set appears to have the least variation the greatest variation?

B. Which data set appears to have the least variation? Which data set appears to have the greatest variation? The data set (I, II, III, IV) appears to have the least variation.

Do the measures of center make sense quizlet?

Do the measures of center make sense? Only the mode makes sense since the data is nominal. Statistics are sometimes used to compare or identify authors of different works.

Which of the following is always true the mean and median should be used to identify?

The mean is called average by statisticians. -The mean and median should be used to identify the shape of the distribution. -Data skewed to the right have a longer left tail than right tail. -In a symmetric and bell-shaped distribution, the mean, median, and mode are the same.

Which measure of variation is not affected by extreme values?

The interquartile range is the difference between upper and lower quartiles and denoted as IQR. Note! The IQR is not affected by extreme values. It is thus a resistant measure of variability.

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Why is the mean sensitive to extreme scores?

The mean is sensitive to extreme scores when population samples are small. For example, for a class of 20 students, if there were two students who scored well above the others, the mean will be skewed higher than the rest of the scores might indicate. Means are better used with larger sample sizes.

Why is the mean sensitive to extreme values?

The mean is sensitive to all scores in a sample (every number in the data affects the mean ), which makes it a more “powerful” measure than the median or mode. The mean’s sensitivity to all scores also makes it sensitive to extreme values, which is why the median is used when there are extreme values.

How useful are the measures of variation for someone searching for a room?

The measures of variation are not very useful because when searching for a​ room, low​ prices, location, and good accommodations are more important than the amount of variation in the area.

When a data value is converted to a standardized scale?

When a data value is converted to a standardized scale representing the number of standard deviations the data value lies from the​ mean, we call the new value a​ z-score. According to its definition, a z-score is “the number of standard deviations from the mean a data point is.”

What is range rule of thumb?

The Range Rule of Thumb says that the range is about four times the standard deviation. The standard deviation is another measure of spread in statistics. It tells you how your data is clustered around the mean.

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Which data set is more variable?

The range of a dataset is the difference between the largest and smallest values in that dataset. For example, in the two datasets below, dataset 1 has a range of 20 – 38 = 18 while dataset 2 has a range of 11 – 52 = 41. Dataset 2 has a broader range and, hence, more variability than dataset 1.

What is the best measure of variation?

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

  • measuring the distance of the observed y-values from the predicted y-values at each value of x;
  • squaring each of these distances;
  • calculating the mean of each of the squared distances.

How do you determine which data set has more variability?

The standard deviation is the average amount of variability in your dataset. It tells you, on average, how far each score lies from the mean. The larger the standard deviation, the more variable the data set is.

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