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Phantasy [73]
3 years ago
14

A teacher surveyed her students about the amount of time the students

Mathematics
1 answer:
LiRa [457]3 years ago
5 0

Answer:

c

Step-by-step explanation:

I just had the exact same question on a worksheet

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In 2005, the average ticket prices for Dallas mavericks
saw5 [17]
The average cost for a dallas mavericks in 2005 is around $50.04
8 0
3 years ago
An original piece of artwork is 2.75 feet by 2.25 feet a reprint of the artwork is 22 inches by 18 inches are the pieces similar
vladimir1956 [14]
12in=1ft
2.75ft=33in
2.25ft=27in
Original: 33 by 27
Reprint: 22 by 18
33:27=22:18
Also, the original print is 1.2 times larger than the reprint

Hope that answers your question
6 0
3 years ago
Select the measurement that is most reasonable
Natalija [7]
I think it might be A
4 0
3 years ago
Read 2 more answers
Help on 7 and 8b please and thank you.
andreev551 [17]
7)
total \: increase \: for \:sides \: of \: the \: equillateral \: triangle = 3 \times 5cm = 15cm \\ perimeter \: of \: an \: equillateral \: triangle = 3 \times length \: of \: one \: side \\ originl \: perimeter = incresed \: perimeter - increase = 60cm - 15cm = 45cm \\ one \: side \: of \: the \: equillateral \: triangle = 45cm \div 3 = 15cm
8b)
let \: x \: represent \: the \: amount \: each \: person \: has \: in \: the \: end. \\ 40 - 4(7.50) = 4x \\ 40 - 30 = 4x \\ 10 = 4x \\ 4x = 10 \\ x = 10 \div 4 \\ x = 2.5 \\ each \: boy \: has \: 2.50 \: in \: the \: end
8 0
3 years ago
Arrivals of customers at a checkout counter follow a Poisson distribution. It is known that, during a given 30-minute period, on
Xelga [282]

Answer:

1/4

Step-by-step explanation:

Let X be the time of arrival measured from the beginning of the 30-minute period.

Since the number of arrivals is Poisson, the time of the arrival is equally likely in any subinterval of time of a given size in the 30 minutes, and thus X has a uniform distribution in (0,30) and P(X > 25) = \int\limits^a_b {1/30} \, dx

where a = 30 and b = 25

Solving, we obtain P(X > 25) = 1/6

similarly, P(X>10) = 2/3 by substituting b for 10

Hence, for conditional probability we have

P(X>25 | X>10) = P(X>25) / P(X>10) = (1/6) / (2/3) = 1/4

3 0
3 years ago
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