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monitta
2 years ago
7

What is the interest rate $14,095 at 3.8% for 5 1/2 years

Mathematics
1 answer:
ivanzaharov [21]2 years ago
7 0

Answer:

373737373746372838484883848r

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2+5+2) = 6(+2)
Sergio039 [100]

cuatro no? porque osea tiene q

5 0
3 years ago
A. The length side b equals the length of side c
Ann [662]
Shiii it could be answer c
3 0
2 years ago
I need help to this question
dlinn [17]
The range would be $14.

To find the range, you would take the highest value and subtract it by the lowest value:
29 - 43 =
14

Hope this helped! :)
5 0
2 years ago
Read 2 more answers
A certain type of concrete mix is designed to withstand 3000 pounds per square inch (psi) of pressure. The strength of concrete
Sholpan [36]

Answer:

a) Mean = 3670

b) Median = 3830

c) Mode = 4090

Step-by-step explanation:

a) By mean, we imply the average of the sample collected. This is given by the formula:

Mean (\bar{x}) = \frac{\sum\limits_{i=1}^{n}{x}}{n}, where<em> </em><em>n</em> is the sample size and<em> x </em>is the samples collected.

==> \bar{x} = (2940+3100+3200+3780+3830+3960+4040+4090+4090 )/9

==> \bar{x}  = 33030/9 = 3670

b) By median, we imply middle value. Since the data size is small, we can easily sort the data in ascending or descending order. Then, we pick the middle value.

Sorted value => 2940 3100 3200 3780 3830 3960 4040 4090 4090

By formula, median = ((n+1)/2)th = 5th position value.

Therefore, the median = 3830

c) By mode, we imply the most occurrence value in the dataset. From the sorting: 2940 3100 3200 3780 3830 3960 4040 4090 4090 ,

The last two values occur most. Therefore, the mode is:

===> 4090

4 0
2 years ago
The weights of newborn baby boys born at a local hospital are believed to have a normal distribution with a mean weight of 3950
nexus9112 [7]

Answer:

0.9192 = 91.92% probability that the weight will be less than 4473 grams.

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.

Mean weight of 3950 grams and a standard deviation of 374 grams.

This means that \mu = 3950, \sigma = 374

Find the probability that the weight will be less than 4473 grams.

This is the pvalue of Z when X = 4473. So

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

Z = \frac{4473 - 3950}{374}

Z = 1.4

Z = 1.4 has a pvalue of 0.9192

0.9192 = 91.92% probability that the weight will be less than 4473 grams.

7 0
2 years ago
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