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pashok25 [27]
3 years ago
8

I need help please!!

Mathematics
1 answer:
valkas [14]3 years ago
3 0

Answer:

14 hrs of babysitting and 6 hrs of tutoring

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Write down the equation of a straight line that is parallel to y = 4x+2
ELEN [110]

Answer:

y = 4x + 5

Step-by-step explanation:

anything with the slope of 4x is parallel to the given equation. therefore, there are an infinite amount of answers.

<u>so, y = 4x + any number</u>

hope this helps!<3

4 0
2 years ago
Simplify the expression. A) 8^4•8^9
OlgaM077 [116]

Answer:

{8}^{13}

Step-by-step explanation:

{8}^{4}  \times  {8}^{9}  \\  {8}^{4 + 9}  \\  {8}^{13}  \\  = 5.497558139 \times 10 ^{11}

Hope this helps you.

Let me know if you have any other questions :-)

7 0
3 years ago
A 1-liter bottle of orange juice used to cost $2.85 at a food market. Its price has increased; the new price is 110 percent of t
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D. 3.14

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3 years ago
Solve for e: e=mc2 m=3 c=6
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5 0
3 years ago
A genetic experiment involving peas yielded one sample of offspring consisting of 409 green peas and 171 yellow peas. Use a 0.05
grigory [225]
The usual expectation for this kind of experiment is that the peas would yield green and yellow peas in a 3:1 ratio, or 75% green to 25% yellow. So your null hypothesis is that the proportion of yellow peas is p=0.25.

You're testing the claim that 26% of the offspring will be yellow, which means the alternative hypothesis is that the proportion of yellow peas is actually 0.26, or more generally that the expected proportion is greater than 0.25, or p>0.25.

The test statistic in this case will be

Z=\dfrac{\hat p-p_0}{\sqrt{\dfrac{p_0(1-p_0)}n}}

where p_0 is the proportion assumed under the null hypothesis, \hat p is the measured proportion, and n is the sample size. You have p_0=0.25, \hat p=\dfrac{171}{171+409}\approx0.29, and n=409+171=580, so the test statistic is

Z=\dfrac{0.29-0.25}{\sqrt{\dfrac{0.25\times0.75}{580}}}\approx2.2247

Because you're testing p>p_0, this is a right-tailed test, so the P-value is

\mathbb P(Z>2.2247)\approx0.0131

The critical value for a right-tail test at a 0.05 significance level is Z_\alpha\approx1.6449, which means the rejection region is any test statistic that is larger than this critical value. Since Z>Z_\alpha in this case, we reject the null hypothesis.

So the conclusion for this test is that the sample proportion is indeed statistically significantly different from the proportion suggested by the null hypothesis.
8 0
3 years ago
Read 2 more answers
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