Manuals/calci/TTESTUNEQUALVARIANCES

TTESTTWOSAMPLESUNEQUALVARIANCES(ar1,ar2,md,alpha,lv)

• $ar1$ and $ar2$ are set of values.
• $md$ is the Hypothesized Mean Difference.
• $alpha$ is the significance level.
• $lv$ is the logical value.

Description

• This function calculating the two Sample for unequal variances determines whether two sample means also distinct.
• We can use this test when both:
• 1.the two sample sizes are may are may not be equal;
• 2. The means and variances are distinct .
• In $TTESTTWOSAMPLESUNEQUALVARIANCES(ar1,ar2,md,alpha,lv),ar1$ and $ar2$ are two arrays of sample values.
• $md$ is the Hypothesized Mean Difference .Suppose md=0 which indicates that sample means are hypothesized to be equal.
• $alpha$ is the significance level which ranges from 0 to 1.
• $lv$ is the logical value like TRUE or FALSE.
• TRUE is indicating the result will display in new worksheet.Suppose we are omitted the lv value it will consider the value as FALSE.
• The t statistic of this function calculated by:

t=x1(bar)-x2(bar)/sx1(bar)-x2(bar) where sx1(bar)-x2(bar)= sqart[s1^2/n1+s2^2/n2]

• Here s1^2 and s2^2 are unbiased estimators of the variances of two samples.n1 and n2 are the number of data points in two arrays . sx1(bar)-x2(bar) is not a pooled variance.
• This function will give the result as error when

     1. any one of th argument is nonnumeric.
     2.alpha>1

Examples

Spreadsheet

	A	B	C	D	E	F	G
1	12	21	9	18	27	37	41
2	19	8	45	29	14	10	11

1. =TTESTSAMPLESEQUALVARIANCES(A1:F1,A2:F2,0.5)

See Also

• TTEST
• TDIST
• TINV
• TTESTEQUALVARIANCES