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Ann [662]
2 years ago
15

In a school theater performance, 150 tickets were sold, some for $30 and others for $20, how many tickets were sold of each pric

e if the total sale was $3,500?
Mathematics
1 answer:
bija089 [108]2 years ago
5 0

Answer:

85 tickets for 20 dollars and 60 for 30

Step-by-step explanation:

my smart friend in AP calc said so

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77julia77 [94]

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What?

Step-by-step explanation:

6 0
3 years ago
Find the unit rate. Camryn paid $30.16 for 8 pounds of almonds
sergij07 [2.7K]

Answer:

The unit rate is $3.77

Step-by-step explanation:

You take 30.16 and divide that by 8 which equals 3.77

have a nice day! :)


5 0
3 years ago
Read 2 more answers
Sam has 4/5 ounces of butter in his refrigerator. If it takes 1/8 ounces to make a cupcake, how many cupcakes can Sam make?
Grace [21]
4/5 divided by 1/8
= 4/5 x 8/1
32/5
= 6.4 cupcakes or 6 cupcakes if they’re looking for a whole number
7 0
3 years ago
Consider A is a set and B is another set, if Au B=A n B, then
Y_Kistochka [10]

Answer:

A = B

Step-by-step explanation:

The correct option is;

A = B

Check:

A = {2,3,4}

B = {2,3,4}

Au B = A n B = {2,3,4}

A or B cannot be null.

check

A = {2,3,4}

B = {}

Au B = {2,3,4}

A n B = {}

7 0
3 years ago
A grading scale is set up for 1000 students' test scores. It assumes the
astra-53 [7]

Answer:

464 students will score between 48 and 75. Using the z-distribution, we measure how many standard deviations each score is from the mean, then find the p-value associated with each score to find the proportion, and from the proportion, we find how many out of 1000.

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.

It assumes the scores are normally distributed with a mean score of 75 and a standard deviation of 15.

This means that \mu = 75, \sigma = 15

How many students will score between 48 and 75?

First we find the proportion, which is the pvalue of Z when X = 75 subtracted by the pvalue of Z when X = 48. So

X = 75

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

Z = \frac{75 - 75}{15}

Z = 0

Z = 0 has a p-value of 0.5

X = 48

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

Z = \frac{48 - 75}{15}

Z = -1.8

Z = -1.8 has a p-value of 0.0359

1 - 0.0359 = 0.4641

Out of 1000:

0.4641*1000 = 464

464 students will score between 48 and 75. Using the z-distribution, we measure how many standard deviations each score is from the mean, then find the p-value associated with each score to find the proportion, and from the proportion, we find how many out of 1000.

7 0
3 years ago
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