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nlexa [21]
3 years ago
13

A factory makes 12 bikes in 3 hours. If it keeps making bikes at the same rate, how many bikes will it have made in 8 hours? (HI

NT: Set up a proportion) 16 bikes 24 bikes 32 bikes
Mathematics
1 answer:
Vilka [71]3 years ago
4 0

Answer:32

Step-by-step explanation: 4 bikes every hour so multiply 4 times 8 which is 32

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Lillian and Jacob work at a dry cleaners ironing shirts. Lillian can iron 25 shirts per hour, and Jacob can iron 20 shirts per h
vladimir1956 [14]

Answer:

Lillian worked 7h and Jacob worked 6h

Step-by-step explanation:

the number of hours Lillian worked are x (h)

the number of  hours Jacob worked are y (h)

                 (0 < x,y < 13)

=> Lilian ironed: 25x (shirts)

    Jacob ỉroned: 20y (shirts)

because Lillian and Jacob worked a combined 13 hours and ironed 295 shirts, we have:

\left \{ {{x+y=13} \atop {25x+20y=295}} \right. => \left \{ {{x=7} \atop {y=6}} \right.

so Lillian worked 7h and Jacob worked 6h

8 0
3 years ago
There is a bag filled with 3 blue, 4 red and 5 green marbles.
hjlf

Answer:1/12

Step-by-step explanation:

4 0
3 years ago
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Use rate in a sentence
DiKsa [7]
I am going to rate how well the food is in this restaurant.
8 0
3 years ago
A store that sells shoes buys them from a manufacturer at a wholesale price of $57. The store's markup rate is 50%. What price d
kogti [31]
The answer is $85.50

57 x 50% or 57 x .5 = 28.50

Add $28.50 to $57 and you get $85.50
4 0
3 years ago
The mean preparation fee H&amp;R Block charged retail customers in 2012 was $183 (The Wall Street Journal, March 7, 2012). Use t
astraxan [27]

Answer:

a)0.6192

b)0.7422

c)0.8904

d)at least 151 sample is needed for 95% probability that sample mean falls within 8$ of the population mean.

Step-by-step explanation:

Let z(p) be the z-statistic of the probability that the mean price for a sample is within the margin of error. Then

z(p)=\frac{ME*\sqrt{N}}{s } where

  • Me is the margin of error from the mean
  • s is the standard deviation of the population
  • N is the sample size

a.

z(p)=\frac{8*\sqrt{30}}{50 } ≈ 0.8764

by looking z-table corresponding p value is 1-0.3808=0.6192

b.

z(p)=\frac{8*\sqrt{50}}{50 } ≈ 1.1314

by looking z-table corresponding p value is 1-0.2578=0.7422

c.

z(p)=\frac{8*\sqrt{100}}{50 } ≈ 1.6

by looking z-table corresponding p value is 1-0.1096=0.8904

d.

Minimum required sample size for 0.95 probability is

N≥(\frac{z*s}{ME} )^2 where

  • N is the sample size
  • z is the corresponding z-score in 95% probability (1.96)
  • s is the standard deviation (50)
  • ME is the margin of error (8)

then N≥(\frac{1.96*50}{8} )^2 ≈150.6

Thus at least 151 sample is needed for 95% probability that sample mean falls within 8$ of the population mean.

7 0
3 years ago
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