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3 years ago

A pair of dice is rolled. What is the probability of getting a sum of 6?

Mathematics

1 answer:

emmasim [6.3K]3 years ago

8 0

Answer:

1/6

Step-by-step explanation:

Since you are rolling the die only one time there is only one way of you getting a 6 and that is rolling an actual 6. There are six sides to the die so you take the one 6 out of the the others and there is your probability.

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Garvin bought skis that cost $500 at the new store opening. The store gave him 60 days free credit. However, if he does not pay

Dahasolnce [82]

Answer:

If he lets the account go for 90 days, he will

pay an interest of $60

Step-by-step explanation:

Here, we want to calculate the interest Garvin will pay if he lets the account go for 90 days

Since 90 days is greater than 60 days, this means that he is going to pay a 12% annual interest rate

Thus, mathematically , the amount to pay will be;

12% of $500

= 12/100 * 500 = 6000/100 = $60

3 0

3 years ago

12 Write the decimal equivalent of the following: answer in the space. <br>2 5/8=_____

lidiya [134]

Answer:

2.625

Step-by-step explanation:

2 + 5/8

2 + .625 = 2.625

5/8 = .625

4 0

3 years ago

Read 2 more answers

Replace m with a whole number<br><br> 8(m-3)=56

alexira [117]

8(m-3)=56
8m-24=56
8m = 80
m= 80 /8
m= 10

4 0

3 years ago

Elena makes banana bread and nut bread to sell at the market. A loaf of banana bread requires 2 cups of flour and 2 eggs. A loaf

Rainbow [258]

The answer is Elena could make 3 loaves of banana bread and 2 loaves of nut bread to maximize her profit

8 0

3 years ago

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IQ scores on the WAIS test approximate a normal curve with a mean of 100 and a standard deviation of 15. What IQ score is identi

riadik2000 [5.3K]

Answer:

IQ scores of at least 130.81 are identified with the upper 2%.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Mean of 100 and a standard deviation of 15.

This means that $\mu = 100, \sigma = 15$