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The value below which 75 percent of the data falls is the definition for what in Six Sigma?
THe 75th percentile
Is 61-70 the 75th percentile out of 100?
Oh honey, bless your heart. The 75th percentile means that 75% of the data falls below that number. So, if you have 100 data points, the 75th percentile would actually be the 75th number in order. In this case, 61-70 would be the 70th percentile, not the 75th.
What is the Difference between z scores and percentile ranks?
First let's define both, that will help to see the difference.1.A percentile is a measure that lets us know what percent of the total frequency scored below that measure. A percentile rank is the percentage of scores that fall below a given score. Here is how that works.Given a score, call it S and a total of n scores we are looking at, we find the number of scores below S and divide that by n. Next multiply that by 100 and you have the percentile rank.Now a z score is the number of standard deviations from the mean.Say the mean is M and your score is S as above. Let sigma be the standard deviation of the distribution. Then z=(S-M)/sigma.So let's say the mean M is 100 and sigma is 15. S is 132, you did better than average!So z=(132-100)/15=2.13If 60 percent of the people scored less than you, then you are in the 60th percentile.Furthermore, lets say, there were 100 people taking test, then 60 of them scored less than you. Your percentile ranking is (60/100)x100=60So both are measures of where your results falls in a distribution. z scores are often used for probability of a certain result. Percentile ranks are often used in looking at standardized test results or growth data. One can convert from one to the other.I have given a conversion table link belowhttp://www.acposb.on.ca/conversion.htm
How many standard deviations above and below the mean contains 99 percent of the population?
2.576 sd
How many wrong answers can you get out of 37 questions to get a 70 percent?
You can't get exactly 70 percent, because that would be 11.1 questions wrong out of 37. If you miss 11 or fewer questions your score will be above 70%; if you miss 12 or more questions your score will be below 70%. This assumes the test is more or less "straight"; if it's scored like, say, the SAT (where leaving a question blank does not reduce your score by as much as answering incorrectly) then we'd need to know the exact details of how the test is scored.
What does a percentile of 70 mean?
The 70th percentile is the score below which 70 percent of the cases fall. If your 70th percentile is 56, 70 percent of students scored below 56.
What does 92nd percentile mean?
92nd percentile is the value below which 92 percent of the cases fall. If in a test your 92nd percentile score is 70, it means 92 percent of the students scored below 70.
What is a 40th percentile?
40 percent of people score less or are below you and 60 percent are above.
What is the 90th percentile?
90th percentile is simple another way of saying that 9% scored above and 90% scored below (the other 1% being the number 90). For example, if you take a type of standardized test in high school, if you do well, you are at the 90th percentile, meaning 90% of students scored lower than you and 9% scored better. You can not be in the 100% percentile, because you cannot score better than yourself.
What is 90th percentile out of 40?
For a complete definition of Percentile see the related link. A percentile is the value of a variable below which a certain percent of observations fallThe 90th percentile is typically the point at which 10 percent of the highest scores fall.If you assume that scores are out of 40, and that they are evenly distributed (an unlikely event in real life), then the 90th percentile is all scores above 36.
What is meant by 'fifth percent ile' '50th percent ile' '9fifth percent ile'?
The 5th percentile is the value such that 5% of the population are below it. Similarly 50% or half the population lies below the 50th percentile.
What does the 35th percentile mean?
35% of values lie below the 35th percentile. The median (middle value) is the 50th percentile, 50% lie below it and 50% above.
The value below which 75 percent of the data falls is the definition for what in Six Sigma?
THe 75th percentile
What percent of data falls above Q1?
In a standard distribution, the first quartile (Q1) represents the 25th percentile of the data. This means that 25% of the data falls below Q1, and consequently, 75% of the data falls above Q1. Therefore, 75% of the data is above Q1.
Is 61-70 the 75th percentile out of 100?
Oh honey, bless your heart. The 75th percentile means that 75% of the data falls below that number. So, if you have 100 data points, the 75th percentile would actually be the 75th number in order. In this case, 61-70 would be the 70th percentile, not the 75th.
What is the Difference between z scores and percentile ranks?
First let's define both, that will help to see the difference.1.A percentile is a measure that lets us know what percent of the total frequency scored below that measure. A percentile rank is the percentage of scores that fall below a given score. Here is how that works.Given a score, call it S and a total of n scores we are looking at, we find the number of scores below S and divide that by n. Next multiply that by 100 and you have the percentile rank.Now a z score is the number of standard deviations from the mean.Say the mean is M and your score is S as above. Let sigma be the standard deviation of the distribution. Then z=(S-M)/sigma.So let's say the mean M is 100 and sigma is 15. S is 132, you did better than average!So z=(132-100)/15=2.13If 60 percent of the people scored less than you, then you are in the 60th percentile.Furthermore, lets say, there were 100 people taking test, then 60 of them scored less than you. Your percentile ranking is (60/100)x100=60So both are measures of where your results falls in a distribution. z scores are often used for probability of a certain result. Percentile ranks are often used in looking at standardized test results or growth data. One can convert from one to the other.I have given a conversion table link belowhttp://www.acposb.on.ca/conversion.htm
What percent of the area of the normal curve is above and below 1.96 standard deviations ie. above 1.96 and below 1.96?
Above 1.96: 0.024998 = 2.5% below 1.96: 0.975002 = 97.5%
