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djverab [1.8K]
3 years ago
8

It's never to late to go back to bed. u w u

Mathematics
1 answer:
Elden [556K]3 years ago
8 0

Answer:

bed

Step-by-step explanation:

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Blake ran three miles for his workout today. He ran the first mile in 7.2 minutes, the second mile in 7.35 minutes, and the thir
NeTakaya

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22.05 minutes

Step-by-step explanation:

7.2 + 7.35 + 7.5 = 22.05 minutes

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Find the y-intercept of the graph of x-3y=9 graphically<br> y-intercept: (0
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The y intercept of this question is 0
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Sally invests $5000 in an account earning 8% interest, compounded continuously. After how many years will she double her investm
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Double is double, so you can solve
.. 2 = 1*e^(.08t)
and get the correct value of t.

Taking logs,
.. ln(2) = .08t
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6th grade math , help me please:)
Xelga [282]

Answer:

(a) $7/ticket

(b) 3 cats/dog

(c) 10 ft/sec

(d) 16 cups/gal

Step-by-step explanation:

(a) $35 for 5 tickets

$35/(5 tickets) = $7/ticket

(b) 21 cats and 7 dogs

21 cats/(7 dogs) = 3 cats/dog

(c) 40 ft in 4 seconds

40 ft/(4 sec) = 10 ft/sec

(d) 48 cups for 3 gallons

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7 0
3 years ago
During the past six months, 73.2 percent of US households purchased sugar. Assume that these expenditures are approximately norm
Mrrafil [7]

Answer:

75.94% of the households spent between $5.00 and $9.00 on sugar.

Step-by-step explanation:

Problems of normally distributed samples are 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.

In this problem, we have that:

\mu = 8.22, \sigma = 1.10

What proportion of the households spent between $5.00 and $9.00 on sugar?

This is the pvalue of Z when X = 9 subtracted by the pvalue of Z when X = 5. So

X = 9

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

Z = \frac{9 - 8.22}{1.10}

Z = 0.71

Z = 0.71 has a pvalue of 0.7611

X = 5

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

Z = \frac{5 - 8.22}{1.10}

Z = -2.93

Z = -2.93 has a pvalue of 0.0017.

So 0.7611 - 0.0017 = 0.7594 = 75.94% of the households spent between $5.00 and $9.00 on sugar.

3 0
4 years ago
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