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Katena32 [7]
2 years ago
15

Type it down in the right order thanks

Mathematics
1 answer:
brilliants [131]2 years ago
6 0

Answer:

$53.00 for 4 pounds

$13.25 for 1 pound

Step-by-step explanation:

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4. The area of the parallelogram<br>is 81.9 in? What is the height​
ipn [44]

Answer 96in2

Step-by-step explanation:

formula to find area = base x height

substitute the values

= 10 x 9

= 90 cm2

7 0
3 years ago
0.09+27/100=?/100+27/100​
Naily [24]

Answer:

x = 9

Step-by-step explanation:

0.09+27/100=x/100+27/100

0.09=x/100

9=x

4 0
2 years ago
Read 2 more answers
3^x= 21875. What is the value of X?
horsena [70]

Answer:

If,

{3}^{x}  = 2187 \\  =  > x = 7 \\  =  =  =  =  =  =  =

But 3^x ≠ 21875,if x is a whole number.

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8 0
3 years ago
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Please help me, i genuinely don't understand
Rudik [331]

Answer:

lol

Step-by-step explanation:

need points

8 0
2 years ago
According to a 2009 Reader's Digest article, people throw away about 14% of what they buy at the grocery store. Assume this is t
ahrayia [7]

Answer:

18.67% probability that the sample proportion does not exceed 0.1

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.

For the sampling distribution of a sample proportion, we have that \mu = p, \sigma = \sqrt{\frac{p(1-p)}{n}}

In this problem, we have that:

\mu = 0.14, \sigma = \sqrt{\frac{0.14*0.86}{59}} = 0.045

What is the probability that the sample proportion does not exceed 0.1

This is the pvalue of Z when X = 0.1. So

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

Z = \frac{0.1 - 0.14}{0.045}

Z = -0.89

Z = -0.89 has a pvalue of 0.1867

18.67% probability that the sample proportion does not exceed 0.1

5 0
3 years ago
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