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2 years ago

If 2 1/4 pounds of bananas cost $ 1.89 what is the cost per pound?

Mathematics

1 answer:

bonufazy [111]2 years ago

5 0

2 1/4 = 2.25

1.89 / 2.25 = 0.84 per lb <== 84 cents per lb

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in a bag of keys there are 15 silver keys six black keys 11 copper keys and two painted keys of various colors. one key is drawn

Setler79 [48]

Answer:

The best thing to do here is to put each of these into fractions, with the total (31) as the denominator.

14/31= silver

6/31= black

8/31= copper

3/31= various colours.

As you're looking for the keys that are silver or copper, you've got to add the two denominators together, which gives you 14+8= 22.

This cannot be simplified further, therefore, the probability of choosing either a silver or copper key is 22/31.

Hope this answer helps you :)

Have a great day

Mark brainliest

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2 years ago

Can you please help me? Keep it a little basic. (no decimals) Thanks for the help!

Delvig [45]

When you are dividing fractions you just flip the second fraction upside down and multiply the two fractions
So the first is
½ x 6/1 = 6/2 = 3

For the second you write them as improper fractions then do the same
So it is
3/2 / 1/8 = 3/2 x 8/1 = 24/2 = 12

So the answer to the first question is 3 and the second is 12

4 0

3 years ago

Read 2 more answers

A Bag of Halloween Candy weighs 4.7 pounds, how much would 3.4 bags weigh

lyudmila [28]

You could multiply the two numbers to get a product of 15.98 pounds.

7 0

2 years ago

Compare 2/3 and 2/5 right one or both of the fractions so they have the common denominator use greater than less than or equal t

lora16 [44]

Answer:

10/15 & 6/15

Step-by-step explanation:

6 0

3 years ago

Different dealers may sell the same car for different prices. The sale prices for a particular car are normally distributed with

Stels [109]

Answer:

P(X > 25) = 0.69

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 zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

The sale prices for a particular car are normally distributed with a mean and standard deviation of 26 thousand dollars and 2 thousand dollars, respectively.

This means that $\mu = 26, \sigma = 2$

Find P(X>25)

This is 1 subtracted by the pvalue of Z when X = 25. So

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

$Z = \frac{25 - 26}{2}$

$Z = -0.5$

$Z = -0.5$ has a pvalue of 0.31

1 - 0.31 = 0.69.

P(X > 25) = 0.69

4 0

2 years ago