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.
To calculate probability when the mean and standard deviation are given, you typically utilize the properties of the normal distribution. First, convert your value of interest (X) into a z-score using the formula ( z = \frac{(X - \mu)}{\sigma} ), where ( \mu ) is the mean and ( \sigma ) is the standard deviation. Once you have the z-score, you can use a standard normal distribution table or calculator to find the probability corresponding to that z-score. This gives you the likelihood of obtaining a value less than or equal to X.
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.
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.
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