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2 years ago

80% of the 55 coffee mugs at Kari's Pancake House are dirty. How many dirty coffee mugs are there at the pancake house?

Mathematics

2 answers:

Softa [21]2 years ago

5 0

80%of 55= 0,80x55= 44 mugs

Pachacha [2.7K]2 years ago

4 0

Answer:

Step-by-step explanation:

80% of 55=44

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Yesterday, 64% of the 6th grade students chose to drink chocolate milk with their lunch. What fraction of 6th grade students Did

Talja [164]

Answer:

$\frac{9}{25}$

Step-by-step explanation:

First subtract 100 and 64. To find how many didn't choose to drink chocolate milk.

100-64=36

Percentages put into fractions will be Percentage over 100.

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3 years ago

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Simplifying
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3 years ago

In the event of delinquency, the Buyer may divide any payment not received into not more than three equal installments to be inc

Serjik [45]

Answer:

Option B

Step-by-step explanation:

Given:

As per the contract "Notification of the Buyer’s intent to do so must be made by written letter or phone call to the phone number and address listed below within one business week of delinquency.”

So,buyer needs to only notify the bank about the monthly payments in case of delinquency and not about if payment is going to be late or not.

Option B is correct

Notify the bank if a payment is going to be late !

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2 years ago

Typing errors in a text are either nonword errors (as when "the" is typed as "teh") or word errors that result in a real but inc

nordsb [41]

Answer:

a) X is binomial with n = 10 and p = 0.3

Y is binomial with n = 10 and p = 0.7

b) The mean number of errors caught is 7.

The mean number of errors missed is 3.

c) The standard deviation of the number of errors caught is 1.4491.

The standard deviation of the number of errors missed is 1.4491.

Step-by-step explanation:

For each typing error, there are only two possible outcomes. Either it is caught, or it is not. The probability of a typing error being caught is independent of other errors. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

The expected value of the binomial distribution is:

$E(X) = np$