Search results
27 wrz 2021 · A one sample z-test is used to test whether a population mean is significantly different than some hypothesized value. A two sample z-test is used to test whether two population means are significantly different from each other. The following examples show how to perform each type of test in Excel.
Learn how to use the Z.TEST function in Excel to calculate the one-tailed or two-tailed P-value of a z-test for a given hypothesized population mean. See the syntax, arguments, and examples of the Z.TEST function.
Excel Z.TEST funkcja zwraca jednostronną wartość P testu z, która jest przydatna w różnych analizach. W oparciu o podaną hipotetyczną średnią populacji, funkcja x, Z.TEST zwraca prawdopodobieństwo, że średnia próbki będzie większa niż obserwowana średnia próbki.
Learn how to use the ZTEST function in Excel to calculate the one-tailed probability-value of a z-test for a given hypothesized population mean. See syntax, arguments, remarks, and examples of ZTEST formula.
Learn how to use the Z.TEST function in Excel to perform hypothesis testing and calculate the one-tailed P-value of a Z-test. See examples of Z Test in Excel for different scenarios such as testing stock returns, stress levels, and temperature data.
Z Test Formula. =Z.TEST (array,x, [sigma]) The Z.TEST function uses the following arguments: Array (required argument) – This is the array or range of data against which we need to test x. The array is a set of values against which the hypothesized sample mean is to be tested.
Examples 🔗. Suppose you have a sample data set in the range A1:A10, and you want to test if the mean of the data is significantly different from the population mean of 50 with a known population standard deviation of 10. The ZTEST formula would be: =ZTEST (A1:A10, 50, 10)
