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Answer:
The following is NOT TRUE about the normal distribution, that is, d.) The curve is right-skewed(that is, skewed to the right).
Step-by-step explanation:
In a normal distribution the properties of which are given as follows:
i) all the central tendency measures, that is, the mean, the median and the mode are equal.
ii) The area under the bell curve is equal to one.
iii.) The bell curve is symmetric about the center, or mean.
iv.) The bell curve does not touch the x - axis.
Therefore only the following is NOT TRUE about the normal distribution, that is, d.) The curve is right-skewed (that is, skewed to the right).
The curve is skewed to the right 'NOT TRUE 'about the distribution for averages.
The statistic used to estimate the mean of a population, μ, is the sample mean, . If X has a distribution with mean μ, and standard deviation σ, and is approximately normally distributed or n is large, then is approximately normally distributed with mean μ and standard error.
- All the central tendency measures, that is, the mean, the median and the mode are equal.
- The area under the bell curve is equal to one.
- The bell curve is symmetric about the center, or mean. The curve is skewed to the right.
- For a normal distribution:
The area under the curve for a standard normal distribution equals 1 the mean, the median and the mode are equal.
Never touches the x-axis since in theory, all events have some probability of occur.
The bell curve does not touch the x - axis.
Hence ,The curve is skewed to the right 'NOT TRUE 'about the distribution for averages.
For more information about Distribution for Averages click the link given below.
https://brainly.com/question/13652429
