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This quote is attributed to Thomas Paine. The full quote is as follows:
That which we obtain too easily, we esteem too lightly. It is dearness only that gives everything it's value. Heaven knows how to price it's goods.
I'm going from memory, so please overlook the odd inaccuracy. To answer your question, what it means is that things that you have to struggle to get hold a higher value in your mind than things that are gotten easily. As an example, if you have to fight to win a woman's heart, you'll appreciate her more than if she was easy to get. The part in the quote that may be throwing you off is the word "dearness." What it means in this context (and in the era it was written in) is "costliness" or "expensiveness." In the context, it is clearly not limited to monetary cost.
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What is a math typical value?
The mean is that value that is most commonly referred to as the average.The typical value is a synonym for the mean and average.The typical value is the mean.
What does a negative z-score mean?
z-score of a value=(that value minus the mean)/(standard deviation). So if a value has a negative z-score, then it is below the mean.
What are the merits and demerits of arithmetic mean?
Arithmetic mean (the average) of a series of values can gives us a fairly decent estimate of the most probable value of a next input. For example in the group: 0, 3, 4, 6, 7, 7, 8 The average is 5. This gives us a good estimate of what we should expect a value to be. However, 5 does not appear even once in the group of values. The mean is not good for finding the most used value, the middle value, or dealing with extremes (numbers much higher or lower than most numbers in the group). Other statistical terms that can help add clarification to the mean are the median (middle number), mode (the most frequent number), and the range (the positive difference between the highest and lowest values).
What value corresponds to the 38 percent of the data between the mean and the z value?
The value is 0.3055
Why is the mean an estimated value and not the true value?
The mean is an estimated value because it is calculated based on a sample of data rather than the entire population. Sampling variability can cause the mean of a sample to differ from the true population mean. Additionally, the mean is sensitive to outliers and skewed data, which can further affect its accuracy as an estimate of the true population value.
