Ryan’s drew rectangle ABCD on the grid . What’s the answer ?

Is ✓ 10 greater than, less than or equal to 5? Use the drop-down menus to explain your answer.

Daniel [21]

Answer:

It is less than 5. I don't know how to help you with the rest.

Step-by-step explanation:

7 0

3 years ago

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Original price: $? Discount: 20% Sale Price: $75

Bad White [126]

Answer:

the answer is 60

Step-by-step explanation:

so you see that there's 20 percent right, you find what number u can add it by to get 100, so 80+20=100 so u do that and put it in a decimal form which is 0.8 and you multiply it by the price so 0.8 x 75= 60

5 0

3 years ago

Rick has a collection of 6 vide games. He lets his best friend borrow 2/6 of his video game collection. Write two fractions equi

djyliett [7]

Well, the simplest form is $\frac{1}{3}$ . Other fractions are $\frac{2}{6}, \frac{3}{9}, \frac{4}{12}, \frac{5}{15}$ etc.
Do simplifications and amplifications to reach one from another.

7 0

3 years ago

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Help wanted pleasse. I'd be very thankful, you'd be even more awesome

Sladkaya [172]

Whay kind of math is it

6 0

3 years ago

Suppose that we wish to assess whether more than 60 percent of all U.S. households in a particular income class bought life insu

Yakvenalex [24]

Answer:

a) The probability is P=0.3982.

b) No. There is no enough evidence to say that the proportion of the population is not 0.6.

Step-by-step explanation:

a) In this question, we have a sample of the population, of size n=1000. To know what is the probability of observing a sample proportion that is at least 0.64 we have to know the parameters of the sampling distribution.

The parameters of the sampling distribution of the proportion will be:

$\mu=\pi=0.6\\\\ \sigma=\sqrt{\frac{\pi(1-\pi)}{N} } =\sqrt{\frac{0.6(1-0.6)}{1000} }= 0.0155$

With these parameters, we can calculate the z-value for p=0.64 as:

$z=\frac{p-\pi}{\sigma}=\frac{0.64-0.6}{0.0155}= 0.258$

Then, we can calculate the probability of having a sample with p≥0.64:

$P(p\geq0.64)=P(z\geq0.258)=0.3982$

b) To know if the proportion of the population is greater than 0.6 the rigth thing to do is perform a hypothesis test, in which we test the following hypothesis:

$H_0: \pi\leq0.6\\\\H_1:\pi>0.6$

If the null hypothesis is rejected, we can conclude that there is evidence that the proportion of the population is greater than 0.6.

First, we assume a significance level of 0.05.

Second, we calculate the z value:

$z=\frac{p-\pi-0.5/N}{\sigma} =\frac{0.64-0.6-0.5/1000}{0.0155} =\frac{0.0395}{0.0155} =2.54$

The P-value for this z is P=0.4. The P-value is greater than the significance level, what means that there is no evidence to reject the null hypothesis.

In other words, a sample mean of 0.64 is a quite probable value even if the proportion of the population is 0.6.

6 0

3 years ago