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- Тип файла:ppt / pptx (powerpoint)
- Всего слайдов:35 слайдов
- Для класса:1,2,3,4,5,6,7,8,9,10,11
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Слайды и текст к этой презентации:
№10 слайд
Содержание слайда: Effect of the size of the standard deviation on the shape of a distribution
The standard deviation affects the shape of a distribution:
When there are small distances between the data points, most of the scores in the data set will be close to the mean and the resulting standard deviation will be small. The distribution will be narrow.
When there are large distances between data points, the scores will be further away from the mean and the standard deviation is larger. The distribution will be wide.
As illustrated in the following slide:
№20 слайд
Содержание слайда: Comparing the consistency of
two types of Golf clubs
Golf equipment manufacturers are constantly seeking ways to improve their products. Suppose that the R&D department has developed a new golf iron (7-iron) to improve the consistency of its users.
A test golfer was asked to hit 150 shots using a 7-iron, 75 of which were hit with his current club and 75 with the newly developed 7-iron.
The distances were then measured and recorded.
№22 слайд
Содержание слайда: Interpretation of the data
(golf club)
The standard deviation of the distances of the current iron is 5.79 meters whereas that of the newly developed 7-iron is 3.09 meters.
Based on this sample, the newly developed iron is more consistent (there is less variation in the distances shot with the innovative golf club).
Because the mean distances are similar it would appear that the new 7-iron is indeed superior.
№23 слайд
Содержание слайда: Coefficient of Variation (CV)
In situations where the means are almost the same, it is appropriate to use the standard deviations to see which process is the most consistent.
In situations where the means are different we need to calculate the coefficient of variation to compare the consistency or riskiness.
The coefficient of variation expresses the standard deviation as a percentage of the mean.
№29 слайд
Содержание слайда: Comparing Coefficient of Variation, (CV)
The standard deviation of stock A, is $2, and that of stock B, is $ 8, we would believe that stock B is more volatile or risky.
However, the average closing price for stock A is $ 4, and $ 80 for stock B.
The CV of stock A is higher, 50%, meaning that the market value of the stock fluctuates more from period to period than does that of stock B, 10%.
Therefore, a lower CV indicates lower riskiness in finance and higher precision or consistency in a production process.
№30 слайд
Содержание слайда: When to use Standard deviation and coefficient of
variation, when comparing two data sets
Use Standard deviation, SD, as a measure of risk/ consistency/reliability when comparing two or more objects:
Means are identical or very close
Use Coefficient of variation, CV, as a measure of risk/ consistency/reliability when comparing two or more objects:
Means are different
The coefficient of variation, CV, expresses the standard deviation as a percentage of it’s mean. Is measured between 0 – 100 %.
№31 слайд
Содержание слайда: Standard deviation and coefficient of variation –
measures of variation
The standard deviation is the average distance of all the scores within a distribution around the mean.
The coefficient of variation is the standard deviation relative (in percent) to its’ mean.
We can use the coefficient of variation to determine the relative variance within one particular process.
№35 слайд
Содержание слайда: Class quizz
Comparing the variation/ spread in two different processes: Standard deviation and Coefficient of variation:
(1) In which situation will we use the standard deviation as the measure of variation?
(2) In which situations will we need to use the Coefficient of variation?
Скачать все slide презентации Measures of variation. Week 4 (2) одним архивом:
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Measures of variation. Week 4 (1)
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Using numerical measures to describe data. Measures of the center. Week 3 (2)
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Measuring Inequality. An examination of the purpose and techniques of inequality measurement
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Calculating the probability of a continuous random variable – Normal Distribution. Week 9 (1)
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Discrete Probability Distributions: Binomial and Poisson Distribution. Week 7 (2)
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Discrete random variables – expected variance and standard deviation. Discrete Probability Distributions. Week 7 (1)
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Random variables – discrete random variables. Week 6 (2)
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Conditional Probabilities Statistical Independence. Week 6 (1)
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Probabilities. Week 5 (2)
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Empirical rule - Probabilities. Week 5 (1)