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Shalnov [3]
2 years ago
13

Question 5 (10 points)

Mathematics
1 answer:
Kamila [148]2 years ago
5 0
You have to subtract 4.35 from 15.60 to see for all the children
3x+4.35 = 15.60
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Where does billy bob johns
Crazy boy [7]

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in ur moms house

Step-by-step explanation:

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2 years ago
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At what points will Al be producing the most equal amounts of sandwiches and salads?
Neporo4naja [7]

Answer: D, Y, X

<u>Step-by-step explanation:</u>

The (salad, sandwich) coordinates are as follows:

A: (0, 10)

B: (1, 8)

C: (2, 6)

D: (3, 4)    MOST EQUAL AMOUNTS

E: (4, 2)

F: (5, 0)

X: (4, 8)    OUTSIDE OF THE PRODUCTION LINE

Y: (1, 3)     UNDER THE PRODUCTION LINE



8 0
3 years ago
Read 2 more answers
Please help!<br><br> 1. n^6/n^2<br><br> a. 1/n^4<br> b. n^4<br> c. n^8<br> d. n12
Klio2033 [76]
Simplify the following:n^6/n^2
Combine powers. n^6/n^2 = n^(6 - 2):n^(6 - 2)
6 - 2 = 4:Answer:  n^4 thus b: is you Answer
5 0
3 years ago
According to the National Vital Statistics, full-term babies' birth weights are Normally distributed with a mean of 7.5 pounds a
Sav [38]

Answer:

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

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 = 7.5, \sigma = 1.1

What is the probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

This is the pvalue of Z when X = 8.6 subtracted by the pvalue of Z when X = 6.4. So

X = 8.6

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

Z = \frac{8.6 - 7.5}{1.1}

Z = 1

Z = 1 has a pvalue of 0.8413

X = 6.4

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

Z = \frac{6.4 - 7.5}{1.1}

Z = -1

Z = -1 has a pvalue of 0.1587

0.8413 - 0.1587 = 0.6826

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

6 0
3 years ago
Select the locations on the number line to plot the points 11 /4 and 19 /4 .
KIM [24]

Answer:


Step-by-step explanation:


6 0
3 years ago
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