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What else can I help you with?
What percentage of scores in a normal distribution would fall between z-scores of 1 and -2?
3
Which normal distribution is also the standard normal curve?
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
Is it possible for sample not normal to be from normal population?
Yes. You could have a biased sample. Its distribution would not necessarily match the distribution of the parent population.
The normal curve would represent the distribution of?
American women in terms of their physical heights.
In what branch of mathematics would one use a normal distribution table?
A distribution table would be primarily used in the field of statistics and probability. Collecting and interpreting data is much easier when compiled in this format.
What kind of graph would you use to show the scores?
When putting the scores in, you use the normal distribution graph, which is the best start.
What percentage of scores in a normal distribution would fall between z-scores of 1 and -2?
3
When the mean of a distribution of scores of measures is higher than the median the distribution would be?
The distribution is skewed to the right.
Which normal distribution is also the standard normal curve?
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
What populations can you think of that would not likely have a normal distribution?
There are many populations that would not likely have a normal distribution. Endangered species or unsocial animals would be such populations.
If 3 of the students who scored below 140 decide to drop the class what would be the shape of the distribution?
Well, honey, if 3 students who scored below 140 drop the class, the distribution would likely become more positively skewed. Those low scores dragging down the left tail would be gone, making the remaining scores bunch up more towards the middle and higher end. So, you might see a shift towards a more normal or even slightly right-skewed distribution.
Is it possible for sample not normal to be from normal population?
Yes. You could have a biased sample. Its distribution would not necessarily match the distribution of the parent population.
How is IQ numbers based?
IQ scores are converted from the raw score of the test to a standardized scale, wherein everybody can be compared and applied to a normal distribution. We know that many things are normally distributed when enough of a sample has been examined. This is also the case for the IQ. Thus, we can compare your score to everyone else (even if they didn't take the IQ test) based on the likelihood that the population distribution of scores is normal. Somewhere along the line somebody decided that 100 would be average and 15 would be the standard deviation. Now everybody is compared along the same scale using standardized scores.
What are the types of normal distribution?
Generally, when we refer to the normal distribution, it is the standard, univariant normal distribution. We don't have a normal type 1, type 2, etc. However, there are closely related distributions, the truncated normal and the multivariant normal. A truncated multivariant normal would also be possible. See related links.
What percentage of the area would the Empirical Rule say is between z -3.00 and z 3.00?
Assuming that you are refering to the standard normal distribution and the z-scores, the answer is 99.73%. If the assumption is incorrect, please resubmit the questionwith more information.
What is the average IQ for a 27 year old women?
IQ scores are standardized by age, with a mean of 100 and a standard deviation of 15. So, the average IQ for a 27-year-old woman would also be around 100, with a range of scores considered within the normal distribution.
In a normal distribution if the mean and the mode are both 25 what would the median be?
In a normal distribution, the mean, median, and mode are all equal. Therefore, if both the mean and the mode are 25, the median would also be 25. This property is a defining characteristic of normal distributions.
