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denpristay [2]
3 years ago
9

Draw and label a coordinate plane, including the four quadrants and the positive or negative values of x and y in each quadrant.

Mathematics
2 answers:
Digiron [165]3 years ago
4 0

Answer:

uh it didnyt the way they though

Step-by-step explanation:

dbthgew

Harlamova29_29 [7]3 years ago
4 0
You need to put a picture bc we don’t see the chart.
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What is the domain of f(x) = 3x - 2?
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{x\x is a real number}

Step-by-step explanation:

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Choose a justification for each step in the derivation of the sine difference identity.
Natali [406]

Answer:

Step 1:  

✔ Cofunction identity

Step 5:  

✔ Sine difference identity

Step 6:  

✔ Cofunction Identity

Step 7:  

✔ Cosine function is even, sine function is odd.

Step-by-step explanation:

8 0
2 years ago
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What is the sum total of 2/3 + 5/10 =
sergey [27]
2•10+5•3
10•3
35/30*5 ( do it on both sides )
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8 0
2 years ago
PLEASE HELP <br><br> QUESTION IN PHOTO
Dmitry_Shevchenko [17]

Answer:it hink the answer is 10 cause you can add 8+2 i think

Step-by-step explanation:

8 0
3 years ago
AT&amp;T would like to test the hypothesis that the proportion of 18- to 34-year-old Americans that own a cell phone is less tha
Vera_Pavlovna [14]

Answer:

The null and alternative hypothesis can be written as:

H_0: \pi_1-\pi_2=0\\\\H_a:\pi_1-\pi_2< 0

Step-by-step explanation:

This is a hypothesis test for the difference between proportions.

The claim is that the proportion of 18- to 34-year-old Americans that own a cell phone is less than the proportion of 35- to 49-year-old Americans.

This claim will be reflected in the alternnative hypothesis, that will state that the population proportion 1 (18 to 34) is significantly smaller than the population proportion 2 (35 to 49).

On the contrary, the null hypothesis will state that the population proportion 1 is ot significantly smaller than the population proportion 2.

Then, the null and alternative hypothesis can be written as:

H_0: \pi_1-\pi_2=0\\\\H_a:\pi_1-\pi_2< 0

The significance level is assumed to be 0.05.

The sample 1, of size n1=200 has a proportion of p1=0.63.

p_1=X_1/n_1=126/200=0.63

The sample 2, of size n2=175 has a proportion of p2=0.68.

p_2=X_2/n_2=119/175=0.68

The difference between proportions is (p1-p2)=-0.05.

p_d=p_1-p_2=0.63-0.68=-0.05

The pooled proportion, needed to calculate the standard error, is:

p=\dfrac{X_1+X_2}{n_1+n_2}=\dfrac{126+119}{200+175}=\dfrac{245}{375}=0.653

The estimated standard error of the difference between means is computed using the formula:

s_{p1-p2}=\sqrt{\dfrac{p(1-p)}{n_1}+\dfrac{p(1-p)}{n_2}}=\sqrt{\dfrac{0.653*0.347}{200}+\dfrac{0.653*0.347}{175}}\\\\\\s_{p1-p2}=\sqrt{0.001132+0.001294}=\sqrt{0.002427}=0.049

Then, we can calculate the z-statistic as:

z=\dfrac{p_d-(\pi_1-\pi_2)}{s_{p1-p2}}=\dfrac{-0.05-0}{0.049}=\dfrac{-0.05}{0.049}=-1.01

This test is a left-tailed test, so the P-value for this test is calculated as (using a z-table):

\text{P-value}=P(z

As the P-value (0.1554) is bigger than the significance level (0.05), the effect is not significant.

The null hypothesis failed to be rejected.

There is not enough evidence to support the claim that the proportion of 18- to 34-year-old Americans that own a cell phone is less than the proportion of 35- to 49-year-old Americans.

5 0
3 years ago
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