Difference between revisions of "Manuals/calci/ZTESTTWOSAMPLEFORMEANS"

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<div style="font-size:30px">'''ZTESTTWOSAMPLEFORMEANS (Array1,Array2,KnownVariance1,KnownVariance2,HypothesizedMeanDifference,Alpha,NewTableFlag)'''</div><br/>
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<div style="font-size:20px">'''ZTESTTWOSAMPLEFORMEANS (Array1,Array2,KnownVariance1,KnownVariance2,HypothesizedMeanDifference,Alpha,NewTableFlag)'''</div><br/>
 
*<math>Array1</math> and  <math>Array2</math>  are  array of values.
 
*<math>Array1</math> and  <math>Array2</math>  are  array of values.
 
*<math>KnownVariance1</math>  and <math>KnownVariance2</math>  are value of variances.
 
*<math>KnownVariance1</math>  and <math>KnownVariance2</math>  are value of variances.
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*<math>Alpha</math> is the significance level.
 
*<math>Alpha</math> is the significance level.
 
*<math>NewTableFlag</math> is the logical value.
 
*<math>NewTableFlag</math> is the logical value.
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**ZTESTTWOSAMPLEFORMEANS(), returns the logical value FALSE.
  
 
==Description==
 
==Description==
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  3.Both populations are normally distributed or both sample sizes are large enough that the means are normally distributed.
 
  3.Both populations are normally distributed or both sample sizes are large enough that the means are normally distributed.
 
*In <math> ZTESTTWOSAMPLEFORMEANS(Array1,Array2,KnownVariance1,KnownVariance2,HypothesizedMeanDifference,Alpha,NewTableFlag)</math>,<math> Array1 </math> and <math>Array2</math> are the set of values,<math>KnownVariance1</math> is the variance of <math>Array1</math>,<math>KnownVariance2</math> is the variance of <math>Array2</math>.
 
*In <math> ZTESTTWOSAMPLEFORMEANS(Array1,Array2,KnownVariance1,KnownVariance2,HypothesizedMeanDifference,Alpha,NewTableFlag)</math>,<math> Array1 </math> and <math>Array2</math> are the set of values,<math>KnownVariance1</math> is the variance of <math>Array1</math>,<math>KnownVariance2</math> is the variance of <math>Array2</math>.
*<math> HypothesizedMeanDifference </math>  is the Hypothesized Mean Difference. If testing is for equal means,then <math>md = 0</math>.  
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*<math> HypothesizedMeanDifference </math>  is the Hypothesized Mean Difference. If testing is for equal means,then <math>Hypothesized mean difference  = 0</math>.  
 
*<math>Alpha</math> is the significance level which ranges from 0 to 1.
 
*<math>Alpha</math> is the significance level which ranges from 0 to 1.
 
*<math>NewTableFlag</math> is the logical value like TRUE or FALSE.TRUE is indicating the result will display in new worksheet.
 
*<math>NewTableFlag</math> is the logical value like TRUE or FALSE.TRUE is indicating the result will display in new worksheet.
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| 10 || 110.02  
 
| 10 || 110.02  
 
|}
 
|}
#=ZTESTTWOSAMPLEFORMEANS(A1:A18,B1:B19,641.8474654,630.283176,0,0.5)
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#=ZTESTTWOSAMPLEFORMEANS(A1:A19,B1:B19,641.8474654,630.283176,0,0.5)
  
 
{| class="wikitable"
 
{| class="wikitable"
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|}
 
|}
  
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==Related Videos==
 +
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{{#ev:youtube|v=QWM-RiSB1To|280|center|ZTESTTWOSAMPLEFORMEANS}}
  
 
==See Also==
 
==See Also==

Latest revision as of 04:46, 7 September 2020

ZTESTTWOSAMPLEFORMEANS (Array1,Array2,KnownVariance1,KnownVariance2,HypothesizedMeanDifference,Alpha,NewTableFlag)


  • and are array of values.
  • and are value of variances.
  • is the Hypothesized Mean Difference.
  • is the significance level.
  • is the logical value.
    • ZTESTTWOSAMPLEFORMEANS(), returns the logical value FALSE.

Description

  • This function gives the z-test two sample for means.
  • We can use this test when
1.The samples can be different sizes.
2.The two samples are independent.
3.Both populations are normally distributed or both sample sizes are large enough that the means are normally distributed.
  • In , and are the set of values, is the variance of , is the variance of .
  • is the Hypothesized Mean Difference. If testing is for equal means,then .
  • is the significance level which ranges from 0 to 1.
  • is the logical value like TRUE or FALSE.TRUE is indicating the result will display in new worksheet.
  • Suppose we are omitted the value it will consider the value as FALSE.
  • ZTEST two sample for means is calculated by:

where and are average of two samples, is the Hypothesized Mean Difference between two means of the population. and are the standard deviation of two population. and are the sizes of the samples.

  • This function will give the result as error when
 1. any one of the argument is nonnumeric.
 2. Alpha>1

Examples

  1. Example 1
Spreadsheet
A B
1 70.25 90.02
2 82.87 89.45
3 90.17 70.89
4 45.55 107.91
5 51.98 59.09
6 21.28 45.03
7 39.04 56.08
8 40.47 91
9 30.02 40.41
10 100.05 29.04
11 86.1 37.79
12 72.49 41.07
13 29.54 52.04
14 38.76 60.78
15 47.01 66.06
16 50.65 78.01
17 55.91 41.22
18 102.7 33.99
19 10 110.02
  1. =ZTESTTWOSAMPLEFORMEANS(A1:A19,B1:B19,641.8474654,630.283176,0,0.5)
Result z-TEST: TWO SAMPLE FOR MEANS
VARIABLE1 VARIABLE2
MEAN 56.04421052631579 63.152631578947364
KNOWN VARIANCE 641.8474654 630.283176
OBSERVATIONS 19 19
HYPOTHESIZED MEAN DIFFERENCE 0
z VALUE -0.8687285374505475
P(T<=+t) ONE-TAIL 0.1924981032229391
z CRITICAL ONE-TAIL 0
P(T<=t) TWO-TAIL 0.3849962064458782
z CRITICAL TWO-TAIL 0.6744897501960817

Related Videos

ZTESTTWOSAMPLEFORMEANS

See Also

References