The Standard Normal Distribution has mean equal to
0
The Standard Normal Distribution is a special case of the normal distribution that has a mean equal to 0 and a standard deviation equal to 1.
Any normal distribution with mean μ and standard deviation σ can be converted into the standard normal distribution using the z-score transformation, z = (x − μ)/σ, which recenters the data around zero and rescales it to a standard deviation of 1.
This standardization allows different normal distributions to be compared on a common scale, and it is the reason the standard normal curve is perfectly symmetric about zero, with equal area on either side.
Hence, the mean of the standard normal distribution is 0, not 1, 2, or 1/2.
The sum of deviation taken from which of the descriptive statistical measures is always equal to zero?
If the value of x is taken as 25 and a pie chart is drawn, what will be the central angle of the field showing the number of students who got marks in the interval 30-40?
If the mean marks of the students is 27.5, then what is the value of x?
Match the following:
| (a) Marginalist Revolution | (i) Samuelson |
| (b) Multiplier-Accelerator model | (ii) J. R. Hicks |
| (c) IS-LM curves | (iii) Jevous |
| (d) Real Business Cycle | (iv) Robert J. Borro |
Choose the correct option from those given below:
As per the SRS Bulletin of September 2017, the estimated death rate for Kerala is 7.6, while for Bihar it is 6. From these data which is the correct inference to draw?
Arrange the following States in descending order according to Maternal Mortality Ratio (MMR) as per the Special Bulletin of SRS, May, 2018:
(i) Assam
(ii) Bihar
(iii) Madhya Pradesh
(iv) Uttar Pradesh
Choose the correct answer from the code given below :