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Which Of The Following Is Not A Characteristic Of The Normal Probability Distribution?

Which Of The Following Is Not A Characteristic Of The Normal Probability Distribution?. The total area under the curve is always equal to 1 c. The standard deviation must be 1.

QUESTION 31 Which of the following is NOT a characteristic of the
QUESTION 31 Which of the following is NOT a characteristic of the from www.homeworklib.com

Web which of the following is not a characteristic of the normal probability distribution? The mean is equal to the median, which is also equal to the. B mean, median and mode of the distribution are equal.

B,It Is Less Reliable Than The.


Which of the following is not a characteristic of the normal probability distribution? The total area within any. All the normal curves are symmetric about the mean, therefore, by the definition of symmetry,.

The Mean, Median, And The Mode Are Equal B.


Web a theorem that allows us to use the normal probability distribution to approximate the sampling distribution of sample means and sample proportions. 99.72% of the time the random variable assumes a value within plus or minus 1. Web choose your answer:

Web Which Is A Characteristic Of The Mean As A Measure Of Center?


99.72% of the time the random variable assumes a. Which of the following is not a characteristic of the normal probability distribution? Web the statement which is not a characteristic of the normal distribution is:

Web 99.72% Of The Time The Random Variable Assumes A Value Within Plus Orminus 1 Standard Deviation Of Its Mean D.


The standard deviation must be 1. The mean, median, and mode are all equal. Which of the following is not acharacteristic of the normal probability distribution?a.the mean, median, and the mode are equalb.the mean of the distribution.

Web Which Of The Following Is Not A Characteristic For A Normal Distribution?


B mean, median and mode of the distribution are equal. Which of the following is not a characteristic of the normal probability distribution? The graph of the curve is.

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