In looking at the properties of the standard normal distribution below: Properties of the Standard Normal Distribution: 1. The total area under the normal curve is equal to 1. 2. The distribution is mounded and symmetrical; it extends indefinitely in both directions, approaching but never touching the horizontal axis. 3. The distribution has a mean of 0 and a standard deviation of 1. 4. The mean divides the area in half—0.50 on each side. Which one of these properties does not necessarily apply to any normal distribution?
3.
can you give me a reason why its 3 because i had said number 5 which had z-score which i didnt post but my teacher said it was wrong
the Standard Normal Distribution can have any mean and any standard deviation
What was 5.?
Nearly all the area is between z = −3.00 and z = 3.00.
the standard normal distribution has mean 0 and standard deviation of 1. However, NOT ALL NORMAL DISTRIBUTIONS HAVE a mean of 0 and a standard deviation of 1. That's what makes a STANDARD NORMAL DISTRIBUTION different from other NORMAL DISTRIBUTIONS.
that is true, most of the 90% of the data will be between those z scores, the question is looking for a false statement
95%*
thanks that helped a lot
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