The age of fossils or dating of fossils can be best estimated by. Which of the following is the best estimate in metres of the height of a mountain? There is a greater range of variable oxidation states among the actinoids than among the lanthanoids The best temperature range for enzyme activation is-. A single species might show high diversity over its distributional range at the.
The 'Marginal Product' of a variable input is best described as :. The marginal product of a variable input is best described as:. We can estimate the value of one variable with the help of other known variable only if they are. The best pH range of the soil for cultivation of crop plants is. Our best estimate for the age of Earth, 4. Problem 4. Problem 5. Problem 6.
Problem 7. Problem 8. Problem 9. Problem Video Transcript okay, Range is not a good indication of variability because it only takes into consideration the maximum data point and the minimum data point. Reasoning How is the range of a data set affected by an outlier? Explain why you cannot find the range of a data set if you are given the fou….
How is the standard deviation related to the variance? What is meant by the unexplained variation? How is it computed? Explain why it is possible to find the mean for the data of a quantitative v…. Why is it usually inappropriate to consider low-frequency sound waves as tra…. Why is the unbiased estimator of variance used? Share Question Copy Link. Report Question Typo in question.
Answer is wrong. Frequently asked questions about variability. While the central tendency , or average, tells you where most of your points lie, variability summarizes how far apart they are. This is important because it tells you whether the points tend to be clustered around the center or more widely spread out. Low variability is ideal because it means that you can better predict information about the population based on sample data. Data sets can have the same central tendency but different levels of variability or vice versa.
Both of them together give you a complete picture of your data. Using simple random samples , you collect data from 3 groups:. All three of your samples have the same average phone use, at minutes or 3 hours and 15 minutes. This is the x-axis value where the peak of the curves are. Although the data follows a normal distribution , each sample has different spreads.
Sample A has the largest variability while Sample C has the smallest variability. Range The range tells you the spread of your data from the lowest to the highest value in the distribution.
To find the range , simply subtract the lowest value from the highest value in the data set. The highest value H is and the lowest L is The range of your data is minutes.
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See editing example. The interquartile range gives you the spread of the middle of your distribution. The interquartile range is the third quartile Q3 minus the first quartile Q1. This gives us the range of the middle half of a data set.
Multiply the number of values in the data set 8 by 0. Q1 is the value in the 2nd position, which is Q3 is the value in the 6th position, which is The interquartile range of your data is minutes. Just like the range, the interquartile range uses only 2 values in its calculation. But the IQR is less affected by outliers: the 2 values come from the middle half of the data set, so they are unlikely to be extreme scores.
Standard deviation 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. The standard deviation of your data is
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