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2 years ago

14

the histogram shows the number of people who viewed each showing of scary night at one movie theater during its opening week the

seat capacity of the theater is 300 for what fraction of the shows was the theater half full or less than half explain

1 answer:

nirvana33 [79]2 years ago

6 0

✯Hello✯

Mate Im gonna need the Histogram to answer this :)

Then I'll help ya

❤Gianna❤

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What is reasonable estimate for the problem

vlabodo [156]

Answer:

-2

Step-by-step explanation:

this is i ready lol but basically the actual answer is -1.5 but if you round that you get -2

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Rachel has taken 6 tests so far and has received scores of 83%, 92%, 79%, 88%, 89%, and 95%. What must Rachel receive on her sev

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Let the score on her seventh test be "x".

SO,

$\frac{83+92+79+88+89+95+x}{7} =90\\\\ \frac{526+x}{7}=90\\\\ 526+x=630\\\\x=630-526\\\\ \boxed{x=104}$

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Mastery challenge

kolezko [41]

The complete question is;

Below are last week's revenues (in thousands of dollars) for six different Nancy's Noodles locations. 6, 6.8,3.7,8.1,6.6,7

Find the median revenue.

Answer:

Median = 6.7 thousand dollars

Step-by-step explanation:

From the question, the 6 revenues in thousands of dollars are;

6, 6.8, 3.7, 8.1, 6.6, 7

To find the median, we need to arrange the terms in ascending order.

Thus, we have;

3.7, 6, 6.6, 6.8, 7, 8.1

Since the number of terms are 6,then the median term is (6 + 1)/2 = 7/2 = 3.5th term

To get the 3.5th term, we have to find the average of the 3rd and 4th terms in the series of revenue.

3rd term = 6.6 and 4th term = 6.8

Thus, median = (6.6 + 6.8)/2

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2 years ago

(a) Suppose one house from the city will be selected at random. Use the histogram to estimate the probability that the selected

Mila [183]

Answer:

a) 0.71

b) 0.9863

Step-by-step explanation:

a. Given the mean prices of a house is $403,000 and the standard deviation is $278,000

-The probability the probability that the selected house is valued at less than $500,000 is obtained by summing the frequencies of prices below $500,000:

$P(X$

Hence, the probability of a house price below $500,000 is 0.71

b. -Let X be the mean price of a randomly selected house.

-Since the sample size 40 is greater than 30, we assume normal distribution.

-The probability can therefore be calculated as follows:

$P(X$

Thus, the probability that the mean value of the 40 houses is less than $500,000 is 0.9863

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3 years ago