Answer:
192 fans would not be wearing a hat
Step-by-step explanation:
"9 out of 25 were wearing hats" implies that 16 were not wearing hats. This, the empirical probability that a subject picked at random is not wearing a hat is 16/25, or 0.64.
This is the fraction of those 300 fans who I expect will not be wearing a hat:
0.64(300 fans) = 192 fans would not be wearing a hat.
Answer: October, the 10th month
Step-by-step explanation:
540/12 = 45[with this in mind , we can assume that this is how many people get infected per month, except for July, and some factors.]
July is special for it not only has the specific unqiue rate of 5.2 infections per day. with this in mind, lets multiply....
And to top it off, we have another 225 infections to consider.
So with consideration of 161.2, 225, 540, and the fact that 45 people get infected on an average month, lets add....
161.2 + 225 + 540 = 926.2
926.2 + 45 = 971.2
971.2 + 45 = 1016.2
It only took until the 10th month of october to hit 1000.
Answer:
The estimate of the proportion of people who pass out at more than 6 Gs is 0.279.
Step-by-step explanation:
Estimate of the proportion of people who pass out at more than 6 Gs.
Number of people who passed out divided by the size of the sample.
We have that:
Sample of 502 people, 140 passed out at G forces greater than 6. So the estimate is:
The estimate of the proportion of people who pass out at more than 6 Gs is 0.279.
Answer:
7(x+3) GFC=7
Step-by-step explanation:
"0.5 ft * 12 = 6 inches (because there are 12 inches in 1 foot)1 day = 24 hours0.5 ft per day = 6 inches in 24 hoursInches grown in one hour = 6/24 = 0.25"