Solution:-
We will conduct a two-sample t-test of the null hypothesis.
a)
State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.
Null hypothesis: u1 = u 2
Alternative hypothesis: u1
u2
Note that these hypotheses constitute a two-tailed test.
Formulate an analysis plan. For this analysis, the significance level is 0.05. Using sample data, we will conduct a two-sample t-test of the null hypothesis.
Analyze sample data. Using sample data, we compute the standard error (SE), degrees of freedom (DF), and the t statistic test statistic (t).

SE = sqrt[(s12/n1) +
(s22/n2)]
SE = 3.637
DF = 17
b)
t = [ (x1 - x2) - d ] / SE
t = - 1.68
where s1 is the standard deviation of sample 1, s2 is the standard deviation of sample 2, n1 is the size of sample 1, n2 is the size of sample 2, x1 is the mean of sample 1, x2 is the mean of sample 2, d is the hypothesized difference between the population means, and SE is the standard error.
Since we have a two-tailed test, the P-value is the probability that a t statistic having 17 degrees of freedom is more extreme than -1.68; that is, less than -1.68 or greater than 1.68.
c)
Thus, the P-value = 0.1154.
d) Interpret results. Since the P-value (0.1154) is greater than the significance level (0.05), e) hence we should fail to reject the null hypothesis.
f) The results are statistically insignificant at alpha = 0.05, so there is insufficient evidence to conclude that the population mean to complete the maze for rat is not same as the population mean to complete the maze for hamsters.
g) If population mean time to complete the maze for rats is the same as the population mean time to complete the maze for the hamsters and if another 9 rats and 10 hamsters are observed than there would be 11.54% chance that the mean time to complete the maze for the 9 rats would differ by at-least 6.1 seconds compared to mean time to complete the maze for the 10 hamsters
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