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antoniya [11.8K]
3 years ago
12

sam spent $4.38 on orange juice. orange juice costs &0.12 per ounce. how many ounces of orange juice did Sam buy?

Mathematics
1 answer:
Serjik [45]3 years ago
6 0
I think the answer would be 36.5. I divided 4.38 by .12
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3 years ago
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1. The measures of the angles of a triangle are in the extended ratio 3:5:7. What is the measure of
slega [8]

Answer:

b) 36

Step-by-step explanation:

ratio of angles = 3:5:7

The angles are  3x, 5x , 7x

Sum of all the three angles of triangle = 180

3x + 5x + 7x = 180

15x = 180

x = 180/15

x = 12

Measure of smallest angle = 3x = 3*12 = 36

3 0
3 years ago
Please halp me in the question?
xz_007 [3.2K]

Answer: a. (x-6) + 5x = 90 b. Angle One = 10° Angle Two = 80°

Step-by-step explanation:

A. Since angle 1 plus angle 2 is a right angle, then their sum is 90 degrees. The equation form angle 1 is x-6 and the equation for angle 2 is 5x, so (x-6) + 5x = 90

B. To find x,

x - 6 + 5x = 90

x + 5x = 96

6x = 96

x = 16

So, angle one = (16) - 6 = 10° and angle two = 16 * 5 = 80°

5 0
3 years ago
In studies for a​ medication, 3 percent of patients gained weight as a side effect. Suppose 643 patients are randomly selected.
timofeeve [1]

Part a)

It was given that 3% of patients gained weight as a side effect.

This means

p = 0.03

q = 1 - 0.03 = 0.97

The mean is

\mu  = np

\mu = 643 \times 0.03 = 19.29

The standard deviation is

\sigma =  \sqrt{npq}

\sigma =  \sqrt{643 \times 0.03 \times 0.97}

\sigma =4.33

We want to find the probability that exactly 24 patients will gain weight as side effect.

P(X=24)

We apply the Continuity Correction Factor(CCF)

P(24-0.5<X<24+0.5)=P(23.5<X<24.5)

We convert to z-scores.

P(23.5 \: < \: X \: < \: 24.5) = P( \frac{23.5 - 19.29}{4.33} \: < \: z \: < \:  \frac{24.5 - 19.29}{4.33} ) \\  = P( 0.97\: < \: z \: < \:  1.20) \\  = 0.051

Part b) We want to find the probability that 24 or fewer patients will gain weight as a side effect.

P(X≤24)

We apply the continuity correction factor to get;

P(X<24+0.5)=P(X<24.5)

We convert to z-scores to get:

P(X \: < \: 24.5) = P(z \: < \:  \frac{24.5 - 19.29}{4.33} )  \\ =   P(z \: < \: 1.20)  \\  = 0.8849

Part c)

We want to find the probability that

11 or more patients will gain weight as a side effect.

P(X≥11)

Apply correction factor to get:

P(X>11-0.5)=P(X>10.5)

We convert to z-scores:

P(X \: > \: 10.5) = P(z \: > \:  \frac{10.5 - 19.29}{4.33} )  \\ = P(z \: > \:  - 2.03)

= 0.9788

Part d)

We want to find the probability that:

between 24 and 28, inclusive, will gain weight as a side effect.

P(24≤X≤28)=

P(23.5≤X≤28.5)

Convert to z-scores:

P(23.5  \:  <  \: X \:  <  \: 28.5) = P( \frac{23.5 - 19.29}{4.33}   \:  <  \: z \:  <  \:  \frac{28.5 - 19.29}{4.33} ) \\  = P( 0.97\:  <  \: z \:  <  \: 2.13) \\  = 0.1494

3 0
3 years ago
Suppose that past history shows that 60% of college students prefer brand c cola. a sample of 5 students is to be selected. base
creativ13 [48]
The probability is 0.337.

The probability that more than 3 prefer brand c is the same as finding the probability that 4 or 5 prefer brand c.  Using a binomial distribution,

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4 0
3 years ago
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