In a medical experiment, scientist want to test if the new drug is more effective than the old one. They choose two group of patients randomly. There are 33 persons in the first group for new medicine, with the mean of 5.74, standard deviation of 6.74, and 25 people in the second group for the old one with the mean of 2.77, standard deviation of 6.28. At the 5% level of significance calculate the statistical value. 1 represent the new medicine group, and 2 represent the group that takes the old one. Assume that two populations are normally distributed and their variences are euqal. (Round your answer to two decimal places)
Question
In a medical experiment, scientist want to test if the new drug is more effective than the old one. They choose two group of patients randomly. There are 33 persons in the first group for new medicine, with the mean of 5.74, standard deviation of 6.74, and 25 people in the second group for the old one with the mean of 2.77, standard deviation of 6.28. At the 5% level of significance calculate the statistical value. 1 represent the new medicine group, and 2 represent the group that takes the old one. Assume that two populations are normally distributed and their variences are euqal. (Round your answer to two decimal places)
Solution
To calculate the statistical value, we will use the formula for the t-test statistic for two independent samples with equal variances. The formula is:
t = (M1 - M2) / sqrt[(SD1^2/n1) + (SD2^2/n2)]
where: M1 and M2 are the means of the two groups, SD1 and SD2 are the standard deviations of the two groups, n1 and n2 are the sizes of the two groups.
Substituting the given values into the formula, we get:
t = (5.74 - 2.77) / sqrt[(6.74^2/33) + (6.28^2/25)]
Now, calculate the values inside the square root:
= (2.97) / sqrt[(45.4276/33) + (39.4384/25)]
= (2.97) / sqrt[1.3772 + 1.577536]
= (2.97) / sqrt[2.954736]
= (2.97) / 1.719218
Finally, calculate the t-value:
t = 1.73 (rounded to two decimal places)
So, the t-statistic value at the 5% level of significance is 1.73.
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