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inna [77]
3 years ago
11

Rewrite `10^{32}\ \/ \ 10^{6}\ `using a single exponent.

Mathematics
1 answer:
IrinaVladis [17]3 years ago
8 0

Answer:

10^38

Step-by-step explanation: :)

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Decimals from 7 to 8 with an interval of 0.2 between each
vivado [14]
7.0, 7.2, 7.4, 7.6, 7.8, 8.0
7 0
4 years ago
Two functions are represented in different formats.
spin [16.1K]

For any function y = mx+b , m is rate of change and , b is the y intercept

]Function 1 is

y = 20x + 15,

where rate of change = 20 and y intercept = 15

And for function 2 , we can write the function as y= 10x +25

rate of change = 10 and y intercept = 25

So the statements which are true are

Function 1 has a greater rate of change than function 2.

Function 2 has a greater y-intercept than function 1.

3 0
3 years ago
est the hypothesis using the​ P-value approach. Be sure to verify the requirements of the test. Upper H 0 : p equals 0.89 versus
hichkok12 [17]

Answer:

The null hypothesis failed to be rejected.

There is not enough evidence to support the claim that the population proportion significantly differs from 0.89.

The requirements for the test are satisfief.

n(1-p)=70>10

Step-by-step explanation:

This is a hypothesis test for a proportion.

There are 3 requirements to have a valid test of proportion: random sample, independence and normal.

For the first two (random and independent sample) we don't have details, but we assume the sampling has been random.

The latter can be verified by calculating np and n(1-p):

np=430>10\\\\n(1-p)=70>10

Both are bigger than 10, so the normal approximation can be considered appropiate.

The claim is that the population proportion significantly differs from 0.89.

Then, the null and alternative hypothesis are:

H_0: \pi=0.89\\\\H_a:\pi\neq 0.89

The significance level is 0.01.

The sample has a size n=500.

The sample proportion is p=0.86.

p=X/n=430/500=0.86

The standard error of the proportion is:

\sigma_p=\sqrt{\dfrac{\pi(1-\pi)}{n}}=\sqrt{\dfrac{0.89*0.11}{500}}\\\\\\ \sigma_p=\sqrt{0.000196}=0.014

Then, we can calculate the z-statistic as:

z=\dfrac{p-\pi+0.5/n}{\sigma_p}=\dfrac{0.86-0.89+0.5/500}{0.014}=\dfrac{-0.029}{0.014}=-2.072

This test is a two-tailed test, so the P-value for this test is calculated as:

\text{P-value}=2\cdot P(z

As the P-value (0.038) is greater than the significance level (0.01), the effect is  not significant.

The null hypothesis failed to be rejected.

There is not enough evidence to support the claim that the population proportion significantly differs from 0.89.

6 0
3 years ago
12(6)+1/4*2^2 <br> help me solve this expression plzzz
egoroff_w [7]
Your answer would be 73
3 0
4 years ago
How much money is three dimes
Feliz [49]

Answer:

30 Cents

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
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