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stepladder [879]
3 years ago
8

Jason wants to bake 4 batches of peanut butter cookies. Each recipe requires 1 cup of peanut butter, 1/2 cup sugar and 2 eggs. H

ow much of each ingredient does he need to bake 4 batches? Use distributive property to set up problem then solve.
Mathematics
1 answer:
musickatia [10]3 years ago
6 0

Answer:

4 cups of peanut butter, 2 cups of sugar, and 8 eggs.

Step-by-step explanation:

(1x4=4 + 1/2x4= 2 + 4x2=8)

Hope this helps!

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Change 1 hour 25 minutes 29 seconds to seconds
Orlov [11]

Answer:

remember

1h=60min

1min=60 sec

now come to the question

1h=60min

1min=60 sec

60min=60×60=3600sec in 1hour

25min=60×25=1500sec in 25 min

total all sec=3600+1500+29=5129sec

Step-by-step explanation:

8 0
3 years ago
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Please answer I need by tonight explain a little thanks
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The answer is J, t = 1/9u
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Write the quadratic equation in factored form. Be sure to write the entire equation. x^2 + x - 12 = 0
nignag [31]
X^2 + X - 12 = 0

(X + 4)(X - 3) = 0

X = -4 and X = 3.
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3 years ago
What math property is this example?:<br><br>5+(-5)=0​
belka [17]

Answer:

Additive Identity Property: The sum of any number and zero is the original number. For example 5 + 0 = 5

Step-by-step explanation:

Additive Identity Property: The sum of any number and zero is the original number. For example 5 + 0 = 5

6 0
3 years ago
Quit smoking: In a survey of 444 HIV-positive smokers, 202 reported that they had used a nicotine patch to try to quit smoking.
Flauer [41]

Answer:

The p-value of the test is of 0.0287 < 0.05(standard significance level), which means that it can be concluded that less than half of HIV-positive smokers have used a nicotine patch.

Step-by-step explanation:

Test if less than half of HIV-positive smokers have used a nicotine patch:

At the null hypothesis, we test if the proportion is of at least half, that is:

H_0: p \geq 0.5

At the alternative hypothesis, we test if the proportion is below 0.5, that is:

H_1: p < 0.5

The test statistic is:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the null hypothesis, \sigma is the standard deviation and n is the size of the sample.

0.5 is tested at the null hypothesis:

This means that \mu = 0.5, \sigma = \sqrt{0.5*(1-0.5)} = 0.5

In a survey of 444 HIV-positive smokers, 202 reported that they had used a nicotine patch to try to quit smoking.

This means that n = 444, X = \frac{202}{444} = 0.455

Value of the test statistic:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

z = \frac{0.455 - 0.5}{\frac{0.5}{\sqrt{444}}}

z = -1.9

P-value of the test and decision:

The p-value of the test is the probability of finding a sample proportion below 0.455, which is the p-value of z = -1.9.

Looking at the z-table, z = -1.9 has a p-value of 0.0287.

The p-value is of 0.0287 < 0.05(standard significance level), which means that it can be concluded that less than half of HIV-positive smokers have used a nicotine patch.

5 0
3 years ago
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