Following on from what Anand Mehta said, if this was given as a class problem at a basic level, and the assumption was made that the incomes were normally distributed, 95% is equivalent to 1.96 SD.
1.96 * 10,000 = $19,600
So the range is given by $42,000 - $19,600 = $22400
and $4200 +$19600 = $61,600
ie $22,400-$61,600.
If you were rounding, 95% is often considered as 2SD so then the range would be $22,000-$62,000.
The distribution of incomes is not normally distributed: in fact it is skewed with a long tail comprising a few people with very high incomes. This is true for all countries and over time. It is therefore not appropriate to assume normal distribution, or even symmetry. Consequently, it is not possible to answer the question without more information.
The total risk of a single asset is measured by the standard deviation of return on asset. Standard deviation is the square root of variance. To measure variance, you must have some distribution/ possibility of asset returns. However, the relevant risk of a single asset is the systematic risk, not the total risk. Systematic risk is the risk that cannot be diversified away in a portfolio. Systematic risk of an asset is measured by the Beta. Beta can be found using Regression (between market return and asset's return) or Covariance formula.
NDP and NNP are different (though sometimes they could be equal between each-other). "Domestic" means that it includes everything produced within country (domestically) and it doesn't matter who have produced it - foreigners or residents. "National" means that it includes everything that are produced by residents only (or by capital belonging to residents) - and it doesn't matter if it is produced domestically or internationally (for instance if I go to work into another country then my work should be included in national but not in domestic product).
The main difference between standard cost and marginal cost is that in standard cost a target is set and in marginal cost there is no target set. Marginal cost is the change of the total cost due to the quantity produced.
The main difference between standard cost and marginal cost is that in standard cost a target is set and in marginal cost there is no target set. Marginal cost is the change of the total cost due to the quantity produced.
The best measurement for comparing the standard of living between two countries is the GDP in conjunction with the economic growth. GDP stands for Gross Domestic product.
Standard deviation doesn't have to be between 0 and 1.
Standard deviation is the square root of the variance.
Standard deviation is the variance from the mean of the data.
Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.
The distance between the middle and the inflection point is the standard deviation.
The standard deviation is the square root of the variance.
The mean is the average value and the standard deviation is the variation from the mean value.
* * *
The more precise a result, the smaller will be the standard deviation of the data the result is based upon.
Standard error is the difference between a researcher's actual findings and their expected findings. Standard error measures the accuracy of one's predictions. Standard deviation is the difference between the results of one's experiment as compared with other results within that experiment. Standard deviation is used to measure the consistency of one's experiment.
The correlation between an asset's real rate of return and its risk (as measured by its standard deviation) is usually:
Standard deviation is a calculation. It I used in statistical analysis of a group of data to determine the deviation (the difference) between one datum point and the average of the group.For instance, on Stanford-Binet IQ tests, the average (or, mean) score is 100, and the standard deviation is 15. 65% of people will be within a standard deviation of the mean and score between 85 and 115 (100-15 and 100+15), while 95% of people will be within 2 standard deviations (30 points) of the mean -- between 70 and 130.