It is 0.017864
No, they do not.
0.13
No. By definition of the median, the median has 50 percent of the case below and 50 percent of the cases above. This has nothing to do with the cases being in a normal distribution.
The probability is 0.4448, approx.
It is true. Because the normal distribution is above the horizontal axis for all values, the area under it is a positive quantity no matter the z value.
Pr(Z > 1.16) = 0.123
No, they do not.
The standard deviation (SD) is a measure of spread so small sd = small spread. So the above is true for any distribution, not just the Normal.
0.13
No. By definition of the median, the median has 50 percent of the case below and 50 percent of the cases above. This has nothing to do with the cases being in a normal distribution.
The probability is 0.4448, approx.
2.275 %
It is true. Because the normal distribution is above the horizontal axis for all values, the area under it is a positive quantity no matter the z value.
It is not. It depends on what question you want to answer. They are both equally informative, but in different circumstances.the CRFD can be used to determine a summary of proportion of observations that lies above(or below) a particular value in a data set which the RFD cannot
Yes. The parameters of the t distribution are mean, variance and the degree of freedom. The degree of freedom is equal to n-1, where n is the sample size. As a rule of thumb, above a sample size of 100, the degrees of freedom will be insignificant and can be ignored, by using the normal distribution. Some textbooks state that above 30, the degrees of freedom can be ignored.
It gives a general perspective of the person's height vs fat proportion. It's not accurate specially in athletes or bodybuilders. Less than 23% is considered normal, above 24 overweight and above 30% morbidly obese
It gives a general perspective of the person's height vs fat proportion. It's not accurate specially in athletes or bodybuilders. Less than 23% is considered normal, above 24 overweight and above 30% morbidly obese