An independent-samples t test is performed on the samples below:
Sample 1: M = 24.1, s2 = 32.02, n = 10
Sample 2: M = 19.4, s2 = 44.46, n = 10
a.)Calculate the standard error for the t test (sM1-M2). (Round to 4 decimal places.)
b.)Calculate the degrees of freedom for the t test.
c.)Find the critical value of t with two tails and alpha = 0.05. (Keep 3 decimal places.)
d.)Calculate the t test. (Round answer to two decimal places.)
Given value :
= 24.1
= 19.4
= 32.02
= 44.46
n1 = 10
n2 = 10
df1 = n1-1 = 9
df2 = n2 - 1 = 9
df = n1+ n2 = 18
Hypothesis:
H0 :
H1 :
CI = 95 %
alpha = 0.05
SE = standard error = ( /sqrt(n1) + /sqrt(n2)) = 24.1851
t- table | t(0.05,18) | 2.101 |
t - cal | ( - ) / SE | 0.194 |
T- Table > T- cal
Accept the null hypothesis, it's mean's that the H0 :
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