formula for finding mean through direct mean method: sigma fi xi /sigma fi
To find the value of ( z ) in a normal distribution, you use the formula ( z = \frac{(X - \mu)}{\sigma} ), where ( X ) is the value for which you want to find ( z ), ( \mu ) is the mean, and ( \sigma ) is the standard deviation. Given that the mean ( \mu = 6 ) and the standard deviation ( \sigma = 10 ), you need a specific value of ( X ) to calculate ( z ). Without a specific ( X ), the value of ( z ) cannot be determined.
The z-score can't be calculated with the information given. A mean & standard deviation is required to put into the formula: Z = (x-mean)/sigma. Your x value is 10.
To calculate the z-score, you need the mean and standard deviation of the data set, as well as the value for which you want to find the z-score. The formula for the z-score is ( z = \frac{(X - \mu)}{\sigma} ), where ( X ) is the value, ( \mu ) is the mean, and ( \sigma ) is the standard deviation. Without specific values for these parameters, I can't provide a numerical answer. Please provide the necessary data for further assistance.
The Z Value, or Z Score, does not apply to the mean, it is a representation of a piece of data. z = (x-µ)/sigma
formula for finding mean through direct mean method: sigma fi xi /sigma fi
Theta means 't' or 'th' and sigma means 's'.
Its means. LEARN ABOUT IT
The z-score can't be calculated with the information given. A mean & standard deviation is required to put into the formula: Z = (x-mean)/sigma. Your x value is 10.
It means the sum total.
Coefficient of deviation (CV) is a term used in statistics. It is defined as the ratio of the standard deviation (sigma) to the mean (mu). The formula for CV is CV=sigma/mu.
1.96
33.79 I used the formula SD = sq rt {Sigma[(x - mean)^2]/n} where sigma means the sum of; ^2 means squared. Firstly, find the mean of the data = 50. Subtract each term separately from the mean and square it. Add these 10 terms and it comes to 11424 Divide by the number of terms, 10 = 1142.4 Then find the sq rt = 33.79.
Z = (x-mu)/sigma. So, for your example, any x value can be transformed to Z-score by the formula Z = (x-100)/20.
The Z Value, or Z Score, does not apply to the mean, it is a representation of a piece of data. z = (x-µ)/sigma
It means keep your mouth shut! It means All Eternal Kings Drink Budwieser!
A z score of -1.3 means that the score is located at the negative 1.3 sigma level with respect to the mean.