Difference between revisions of "Manuals/calci/ZTEST"
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| − | <div style="font-size:30px">'''ZTEST( | + | <div style="font-size:30px">'''ZTEST (Array,Mean,StandardDeviationForPopulation,IsTwoTailed,Accuracy)'''</div><br/> |
| − | |||
*<math>Array</math> is the set of values. | *<math>Array</math> is the set of values. | ||
*<math>Mean</math> is the mean value. | *<math>Mean</math> is the mean value. | ||
| Line 6: | Line 5: | ||
*<math>IsTwoTailed</math> is the value of the tail. | *<math>IsTwoTailed</math> is the value of the tail. | ||
*<math>Accuracy</math> gives accurate value of the solution. | *<math>Accuracy</math> gives accurate value of the solution. | ||
| + | **ZTEST() returns the one-tailed probability-value of a z-test. | ||
==Description== | ==Description== | ||
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#=ZTEST(A1:G1,4) = 0.00042944272036 | #=ZTEST(A1:G1,4) = 0.00042944272036 | ||
#=2*MIN(ZTEST(A1:G1,4),1-ZTEST(A1:G1,4)) = 0.000858885440 | #=2*MIN(ZTEST(A1:G1,4),1-ZTEST(A1:G1,4)) = 0.000858885440 | ||
| − | #=ZTEST(A2:F2,10) = 0. | + | #=ZTEST(A2:F2,10) = 0.9708451547030459 |
| − | #=2*MIN(ZTEST(A2:F2,10),1-ZTEST(A2:F2,10)) = 0. | + | #=2*MIN(ZTEST(A2:F2,10),1-ZTEST(A2:F2,10)) = 0.058309690593908226 |
==Related Videos== | ==Related Videos== | ||
Latest revision as of 03:34, 7 September 2020
ZTEST (Array,Mean,StandardDeviationForPopulation,IsTwoTailed,Accuracy)
- is the set of values.
- is the mean value.
- is the standard deviation of the population.
- is the value of the tail.
- gives accurate value of the solution.
- ZTEST() returns the one-tailed probability-value of a z-test.
Description
- This function gives the one-tailed probability of z-test.
- Z-test is used to determine whether two population means are different when the variances are known and the sample size is large.
- In , is the array of values against which the hypothesized sample mean is to be tested.
- is the hypothesized sample mean, and is the standard deviation of the population.
- When we are not giving the sigma value, it will use the standard deviation of sample.
- This function returns the probability that the supplied hypothesized sample mean is greater than the mean of the supplied data values.
- The test statistic should follow a normal distribution.
- ZTEST is calculated when sigma is not omitted and x=μ0 :
- ZTEST is calculated when sigma is omitted and x=μ0:
where is sample mean , is the sample deviation and is the size of the sample.
- Suppose we want to calculate the z-test for two tailed probability then this can be done by using the Z_test function: .
- This function will give the result as error when
1. Any one of the argument is non-numeric.
2. Array or Mean value is empty.
3. Array contains only one value.
Examples
- Example 1
| A | B | C | D | E | F | G | |
|---|---|---|---|---|---|---|---|
| 1 | 10 | 15 | 7 | 2 | 19 | 20 | 12 |
| 2 | 3 | 4 | 8 | 1 | 10 | 15 | 5 |
- =ZTEST(A1:G1,4) = 0.00042944272036
- =2*MIN(ZTEST(A1:G1,4),1-ZTEST(A1:G1,4)) = 0.000858885440
- =ZTEST(A2:F2,10) = 0.9708451547030459
- =2*MIN(ZTEST(A2:F2,10),1-ZTEST(A2:F2,10)) = 0.058309690593908226
Related Videos
See Also
References