110? It's a supplementary angle.
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.
Answer:
$0.45
Step-by-step explanation:
ratio is 2:4:3
total is 9
270 ÷ 9 = 30
smoll
60 × 0.25 = $15
med
120 × 0.30 = $36
Big
91.50 - 15 - 36 = 40.5
40.5 ÷ 90 = $0.45
Answer:
132%
Step-by-step explanation:
The population of Peru = 10904
The population of Franklin = 25248.
Difference = 25248-10904=14,344
Expressing as a percentage of the population of Peru
=132%
Therefore, the population of Franklin is 132% more than the population of Peru.
Answer:
-6
Step-by-step explanation:
r = 9, b = 5, g = -6
Plug these values into (r + b - 8)(b + g)
[(9) + (5) - 8]*[(5) + (-6)]
Combine like terms in the brackets
[6]*[-1]
6 times -1 equals -6, so that is your answer