There is enough evidence to conclude that taking aspirin cannot reduces the chance of cancer.
Given sample size of patients take aspirin 11037, sample size of patients who have assigned placebo group be 11034. 104 doctors who take aspirin had a heart attack, 189 doctors had placebo had heart attacks.
First we have to form hypothesis.


We have to find the respective probabilities.
=104/11037
=0.0094
=189/11034
=0.0171
Now their respective margin of errors.
=
=0.0009
=
=0.0011
Hence the distribution of the differences,they are given by:
p=
=0.0094-0.0171
=-0.0077
S=
=
=0.00305
z=(p -f)/S (In which f=0 is the value tested at the null hypothesis)
=(-0.0077-0)/0.00305
=-2.52
p value will be 0.005.
p value of 0.05 significance level.
z=1.96.
1.96>0.005
So we will reject the null hypothesis which means it cannot reduce the whole chance of becomming a heart attack.
Hence there is enough evidence to conclude that taking aspirin cannot reduces the chance of cancer.
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Answer:
-2.2, -1 7/10, 1.7, 3 1/4
Just divide the population by the area:
2,695,694 / 227.6 = ~11,844 people per mi^2. Or population density per square mile.
You're in k12 to?
Answer:
n' = (-5,2) k' = (-1,1) t' = (-5,0)
Step-by-step explanation:
Answer:
a. 16000 units
b. 11800 units
Step-by-step explanation:
A.
To get equivalent units of production for materials
Add up the units transferred out + ending work in progress
= 9000 units + 7000 units
= 16000 units
B.
To get conversion cost for November:
Units that are transferred out + (ending work in progress * % of conversion)
= 9000 + (7000 x 40%)
= 9000 + 2800
= 11800 units
The answers are therefore
1. 16000units
2. 11800 units