Answer: D. 0.981
Step-by-step explanation:
Step 1: For the given data table on x^2
We square all values given to us
Step 2: we repeat Same for Y^2 table too.
Step 3: XY table we multiply x and y
Step 4: we make a summation of them all
Step 5: we input our summer value into our formula.
Step 6 : we arrive at our answer which is 0.981
Answer:
D)Yes, because the difference in the means in the actual experiment was more than two standard deviations from 0.
Step-by-step explanation:
We will test the hypothesis on the difference between means.
We have a sample 1 with mean M1=18.2 (drug group) and a sample 2 with mean M2=15.9 (no-drug group).
Then, the difference between means is:
If the standard deviation of the differences of the sample means of the two groups was 1.1 days, the t-statistic can be calculated as:
The critical value for a two tailed test with confidence of 95% (level of significance of 0.05) is t=z=1.96, assuming a large sample.
This is approximately 2 standards deviation (z=2).
The test statistict=2.09 is bigger than the critical value and lies in the rejection region, so the effect is significant. The null hypothesis would be rejected: the difference between means is significant.