If the Z Score of a test is equal to zero then the raw score of the test is equal to the mean.
Z Score = (Raw Score - Mean Score) / Standard Deviation
The z score for the mean is always 0.
Mean = 0 SD = 1 The whole point of converting to a Z-score is that you have a Standard Normal distribution ie a N(0, 1) distribution.
1.41
score = 0; Put the code in a collision event.
In a standard normal distribution curve, one half of the area is .5 (or 50%). 0 is the middle value of the z-score. So, for an area of .7704, z must be negative. Also, the area from 0 to z (which is negative) must be equal to .2704. From the normal probability table, this value is -0.74 Therefore, the z-score for the area equals 0.7704 is -0.74
The z score for the mean is always 0.
Ravi Shastri was the cricketer who was out in test matches with a score of 1 or 0. a answer by: deepika ans venkatesh
Yes.z = (raw score - mean)/standard error.Since the standard error is positive, z < 0 => (raw score - mean) < 0 => raw score < mean.
A z-score of 0 means the value is the mean.
0% They are just candy.....
Z score of 0 is the mean of the distribution.
Mean = 0 SD = 1 The whole point of converting to a Z-score is that you have a Standard Normal distribution ie a N(0, 1) distribution.
Answer: 0 The z score is the value of the random variable associated with the standardized normal distribution (mean = 0, standard deviation =1). Now, the median and the mean of a normal distribution are the same. The 50 percentile z score = the median = mean = 0.
0. In his last ever Test match he was out for a duck on the second ball.
Do you mean "What is -10 to the power 0 equal to?" Any number raised to 0 evaluates to 1
He was bowled out for a duck (0) on his second ball, giving him a test average of 99.94
yes. z score measures distance from 0. 0 represents the mean.