How many subjects fall below the mean of a normal distribution?
40% |
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50% |
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60% |
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10% |
How many subjects fall below the mean of a normal distribution? 40% 50% 60% 10%
Assuming a normal distribution with a true mean of 50 Newtons and a standard deviation of 1.8 Newtons, what is the probability (in percentage) that future measurements will fall below 48.58 Newtons?
4: How would you characterize the distribution of the quantitative variable shown below? 60 50 40 Frequency 30 20 10 0 5 10 Lл 20 25 30 Bin A. Skewed right (positive). B. Skewed left (negative). C. There is little or no skew; the distribution is symmetric. There is insufficient information to answer this question. D.
A distribution of measurements is relatively mound-shaped with mean 40 and standard deviation 10. (a) What approximate proportion of the measurements will fall between 30 and 50? (Enter your answer to two decimal places.) (b) What approximate proportion of the measurements will fall between 20 and 60? (Enter your answer to two decimal places.) (c) What approximate proportion of the measurements will fall between 20 and 50? (Enter your answer to three decimal places) (d) What approximate proportion of the measurements will be greater...
Given a normal distribution with (mean) μ= 50 and (standard deviation) σ = 5, what is the probability that: a) X>60 b) X<40 c) X<45 or X>65 d) Between what two values (symmetrically distributed around the mean) are ninety percent of the values?
Question 183 pts In a normal distribution, what percentage of sample observations fall between the mean and .71 standard deviations above or below the mean? 1.96% 76.11% 26.11% 13.6%
The normal distribution is symmetrical, so that 50% of the scores are above the mean and 50% of the scores are below the mean. Question 3 options: a) True b) False
What percent of scores in a normal distribution will fall between the mean and -1 standard deviation?
A normal distribution has a mean of 60 and a standard deviation of 10. Refer to the table in Appendix B.1. Determine the value above which 80 percent of the values will occur. (Round z-score computation to 2 decimal places and the final answer to 2 decimal places.) X
If random variable X has normal distribution with mean u=50 and the standard deviation q=2 , then the value of z-score corresponding to the value X =60 is : - 10 - 5 - 50 - 0
Assuming a normal distribution, what percentage of measurements will fall within the range of the mean ± 2 σ, where refers to the population standard deviation?