Since 111 is greater than 33, I will assume that you meant 11 votes for a candidate. Also, assuming that each student can vote only once, the answer would be
11/33 x 100=33.333333...
About 33.333 of the voters voted for candidate a.
The scale factor is 4 5.8/1.45=4
Answer:
number of trousers=14
numbers of pairs of stockings=71
Step-by-step explanation:
Pairs of stockings: x
T shirt: y
Trouseres: z
7x=3y
1z=1y+2×
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m: number of trousers
m*z=26y
m*(y+2x)=26y
m*(y+2(3y/7))=26y
m=26y/(y+2(3y/7))
m=14
You need to buy 14 trousers that represents the equivalent of 26 T-shirts.
__________________________________________
k:pairs of stockings
k*x=10y+11z
k*x=10(7x/3)+11(y+2x)
k*x=10(7x/3)+11((7x/3)+2x)
k=71
You need to buy 71 pairs of stockings with an amount equal to the price of 10 T-shirts and 11 trousers
C 1/2 were gonna get it equivalent so 2/3 equals 4/6-1/6 that equals 3/6 and 3/6= 1/2 hope this helped
Answer:
Correlation does not imply causation
Step-by-step explanation:
Correlation is a statistical technique which shows how strongly a pair of variables are linearly related and change together.
Causation says that the change in one value will cause the other to change, making one variable dependent on the other.
Examples of correlation with causation are:
a) ice cream sales and summer temperatures
b) forest fires and summer temperatures
An example of correlation without causation is ice cream sales and forest fires. While they both increase as temperatures increase, ice cream sales are not CAUSING the forest fires.
From the information available it can be suggested that there is a correlation between sexual intercourse within a month prior to delivery as there is a higher number of fetus deaths to mothers who had sexual intercourse within a month prior to delivery. However, there is no information which shows the sexual intercourse caused the deaths. Additionally, 89% of the mothers of fetuses who died DID NOT have sexual intercourse within a month prior to delivery, thus even the correlation is weak in this case.
