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Bess [88]
2 years ago
11

An experiment is carried out 400 times.

Mathematics
1 answer:
MissTica2 years ago
6 0

Answer:

You would expect the outcome to be void 240 times

Step-by-step explanation:

1000 x 0.24

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Colin spends 1/3 of his wages on rent and 1/4 on food. If he makes £636 per week, how much money does he have left?
uysha [10]

Answer:

£265

Step-by-step explanation:

Total fraction of money spent= \frac{1}{3} +\frac{1}{4}

                                                 = \frac{7}{12}

Actual money spent = \frac{7}{12} * £636

                                  = £371

Money he has left = £(636 - 371)

                               = £265

6 0
1 year ago
Read 2 more answers
The local grocery store wants to know if the shoppers prefer Crest or Colgate toothpaste. The store gives all of its shoppers a
ch4aika [34]

i think the answer is letter C

5 0
2 years ago
Nga, Kai, and Jason volunteer in the school library. They want to find the average number of pages of a library book. It would b
Serga [27]

Answer: Kai

Step-by-step explanation:

I did the assignment and got it correct

4 0
1 year ago
Read 2 more answers
Which is greater 2m or 275cm
Whitepunk [10]



There is 100 centimeters in 1 meter.

Change the meter to centimeter. Multiply: 2 x 100 = 200

200 cm < 275 cm ∴  is greater by 75 cm

5 0
1 year ago
Read 2 more answers
Mateus’s bank issued an advertisement saying that 90\%90%90, percent of its customers are satisfied with the bank’s services. Si
densk [106]

Answer:

The probability of getting a sample with 80% satisfied customers or less is 0.0125.

Step-by-step explanation:

We are given that the results of 1000 simulations, each simulating a sample of 80 customers, assuming there are 90 percent satisfied customers.

Let \hat p = <u><em>sample proportion of satisfied customers</em></u>

The z-score probability distribution for the sample proportion is given by;

                                Z  =  \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, p = population proportion of satisfied customers = 90%

            n = sample of customers = 80

Now, the probability of getting a sample with 80% satisfied customers or less is given by = P( \hat p \leq 80%)

  P( \hat p \leq 80%) = P( \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } \leq \frac{0.80-0.90}{\sqrt{\frac{0.80(1-0.80)}{80} } } ) = P(Z \leq -2.24) = 1 - P(Z < 2.24)

                                                                  = 1 - 0.9875 = <u>0.0125</u>

The above probability is calculated by looking at the value of x = 2.24 in the z table which has an area of 0.9875.

8 0
2 years ago
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