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REY [17]
3 years ago
15

In class A, 17 students in a class of 25 passed an exam. In class B, 13 out of 20 passed. In class C, 7 out of 10 passed. Which

class is the best class?
Mathematics
1 answer:
Sergio [31]3 years ago
5 0

Answer:

class C

Step-by-step explanation:

a=(17/25)=0.68

b=(13/20)=0.65

c=(7/10)=0.7

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I believe the answer is 1.36

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Uncle drew scored 28 pionts in 5 5\6 minutes how many points did he average
earnstyle [38]
28 / (5 5/6) =
28 / (35/6) = 
28 * 6/35 =
168/35 =
4.8 points per minute <==
8 0
4 years ago
How many terms are there in v/3 + 2 x 5
sammy [17]

Answer:1

Step-by-step explanation:

terms are separated by + or - signs

6 0
2 years ago
electricity has two different rates off peak is 10pm to 6am and charged at 8p per hour. peak is 6am to 10pm and is charged at 12
ICE Princess25 [194]

Answer:

32p

Step-by-step explanation:

the times between 8pm and 11.30pm are:

8pm,9pm,10pm,11pm,11.30pm.

so, find the cost associated with each of them:

8pm: 12p

9pm: 12p

10pm: 12p

11pm:8p

11.30pm: 4p

sum:12+12+12+8+4 = 12 x 4 = 32p

6 0
3 years ago
You plan to conduct a marketing experiment in which students are to taste one of two different brands of soft drink. Their task
solmaris [256]

Answer:

a) probability that the sample will have between 50% and 60% of the identification correct = 0.498

b) The probability is 90% that the sample percentage  is contained 45.5% and 54.5% of the population percentage

c) Probability that the sample percentage of correct identifications is greater than 65% = 0.01

Step-by-step explanation:

Sample size, n = 200

Since the brands are equally likely, p = 0.5, q = 0.5

The Standard deviation, \sigma_p = \sqrt{\frac{pq}{n} }

\sigma_p = \sqrt{\frac{0.5 * 0.5}{200} } \\\sigma_p = 0.0353

a) probability that the sample will have between 50% and 60% of the identification correct.

P(0.5 < X < 0.6) =  P(\frac{0.5 - 0.5}{0.0353} < Z < \frac{0.6 - 0.5}{0.0353} )\\P(0.5 < X < 0.6) = P( 0 < Z < 2.832)\\P(0.5 < X < 0.6) = P(Z < 2.832) - P(Z < 0)\\P(0.5 < X < 0.6) = 0.998 - 0.5\\P(0.5 < X < 0.6) = 0.498

Probability that the sample will have between 50% and 60% of the identification correct is 0.498

b) p = 90% = 0.9

Getting the z value using excel:

z = (=NORMSINV(0.9) )

z = 1.281552 = 1.28 ( 2 dp)

Then we can calculate the symmetric limits of the population percentage as follows:

z = \frac{X - \mu}{\sigma_p}

-1.28 = \frac{X_1 - 0.5}{0.0353} \\-1.28 * 0.0353 = X_1 - 0.5\\-0.045+ 0.5 = X_1\\X_1 = 0.455

1.28 = \frac{X_2 - 0.5}{0.0353} \\1.28 * 0.0353 = X_2 - 0.5\\0.045+ 0.5 = X_2\\X_2 = 0.545

The probability is 90% that the sample percentage  is contained 45.5% and 54.5% of the population percentage

c) Probability that the sample percentage of correct identifications is greater than 65%

P(X>0.65) = 1 - P(X<0.65)

P(X

6 0
4 years ago
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