Different examinations have different thresholds for A grades.
The probability is 0.5
(527-500)/100= Z-score. Then, you should look at the table for this given Z score
Ah, where are the good old days, when a score of 72 was always better than a score of 62, and that was all you needed to know, and it didn't matter how well or poorly anybody else in the class was doing ? Sam Levinson used to tell about the time his son brought home a report card, and on the report card the teacher had written "For him, he is doing good", and Sam used to say, "Now all I need to know is: Who is 'him' ?"
The standard deviation and the arithmetic mean measure two different characteristics of a set of data. The standard deviation measures how spread out the data is, whereas the arithmetic mean measures where the data is centered. Because of this, there is no particular relation that must be satisfied because the standard deviation is greater than the mean.Actually, there IS a relationship between the mean and standard deviation. A high (large) standard deviation indicates a wide range of scores = a great deal of variance. Generally speaking, the greater the range of scores, the less representative the mean becomes (if we are using "mean" to indicate "normal"). For example, consider the following example:10 students are given a test that is worth 100 points. Only 1 student gets a 100, 2 students receive a zero, and the remaining 7 students get a score of 50.(Arithmetic mean) = 100 + 0(2) + 7(50) = 100 + 0 + 350 = 450/10 studentsSCORE = 45In statistics, the median refers to the value at the 50% percentile. That means that half of the scores fall below the median & the other half are above the median. Using the example above, the scores are: 0, 0, 50, 50, (50, 50), 50, 50, 50, 100. The median is the score that has the same number of occurrences above it and below it. For an odd number of scores, there is exactly one in the middle, and that would be the median. Using this example, we have an even number of scores, so the "middle 2" scores are averaged for the median value. These "middle" scores are bracketed by parenthesis in the list, and in this case are both equal to 50 (which average to 50, so the median is 50). In this case, the standard deviation of these scores is 26.9, which indicates a fairly wide "spread" of the numbers. For a "normal" distribution, most of the scores should center around the same value (in this case 50, which is also known as the "mode" - or the score that occurs most frequently) & as you move towards the extremes (very high or very low values), there should be fewer scores.
I am a plus 2 student..... in 9th standard the escape velocity of a rocket to go to outside the earth is 11.13km/sec not sure .13 or not
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Percent deviation is a measure of how much a value deviates, or differs, from a standard or expected value. It is calculated by taking the absolute difference between the measured value and the standard value, dividing by the standard value, and then multiplying by 100 to express it as a percentage.
The probability is 0.5
The average IQ for a student in the UK is around 100, which is considered to be in the normal range. IQ scores are standardized to have a mean of 100 and a standard deviation of 15.
federal minimum wage alexis danielle nickole (:
What is a "Standard" student loan?
The student's percent deviation is 25%, calculated as (|1.5 - 2.0| / 2.0) * 100%.
It would be approximately normal with a mean of 2.02 dollars and a standard error of 3.00 dollars.
The minimum number of credit hours required for a student to be eligible for student loans is typically 6 credit hours per semester.
(527-500)/100= Z-score. Then, you should look at the table for this given Z score
Minimum 6-7 hours..
yes