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vodomira [7]
4 years ago
13

Whats the area surface of a rectangular prism with 7 as it’s width length and height

Mathematics
1 answer:
Oksana_A [137]4 years ago
6 0

Answer:

249cm^2

Step-by-step explanation:

A=2(wl+hl +hw)

A=2(7•7+7•7+7•7)

A=2(49+49+49)

A=2(147)

A=249cm^2

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What is the solution to -3/7m < 21
Anika [276]

Simplify 3/7m to 3m/7

-3m/7 < 21

Multiply both sides by 7

-3m < 21 × 7

Simplify 21 ×7 to 147

-3m < 147

Divide both sides by -3

m > -147/3

Simplify 147/3 to 49

<u>m > -49</u>

5 0
3 years ago
Read 2 more answers
They want you to solve for b​
seropon [69]

Answer:

b > -9

Step-by-step explanation:

(-3b > 27) / -3

= b > -9

4 0
3 years ago
A large car insurance company selected samples of single and married male policyholders and recorded the number who made an insu
nalin [4]

Answer:

The null hypothesis is rejected.

There is enough evidence to support the claim that rates are higher for single male policyholders verses married male policyholders (P-value = 0.004).

Step-by-step explanation:

This is a hypothesis test for the difference between proportions.

The claim is that rates are higher for single male policyholders verses married male policyholders.

Then, the null and alternative hypothesis are:

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

The significance level is 0.05.

The sample 1 (single group), of size n1=450 has a proportion of p1=0.1489.

p_1=X_1/n_1=67/450=0.1489

The sample 2 (married group), of size n2=925 has a proportion of p2=0.1005.

p_2=X_2/n_2=93/925=0.1005

The difference between proportions is (p1-p2)=0.0483.

p_d=p_1-p_2=0.1489-0.1005=0.0483

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

p=\dfrac{X_1+X_2}{n_1+n_2}=\dfrac{67.005+93}{450+925}=\dfrac{160}{1375}=0.1164

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{0.1164*0.8836}{450}+\dfrac{0.1164*0.8836}{925}}\\\\\\s_{p1-p2}=\sqrt{0.0002+0.0001}=\sqrt{0.0003}=0.0184

Then, we can calculate the z-statistic as:

z=\dfrac{p_d-(\pi_1-\pi_2)}{s_{p1-p2}}=\dfrac{0.0483-0}{0.0184}=\dfrac{0.0483}{0.0184}=2.62

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

P-value=P(z>2.62)=0.004

As the P-value (0.004) is smaller than the significance level (0.05), the effect is significant.

The null hypothesis is rejected.

There is enough evidence to support the claim that rates are higher for single male policyholders verses married male policyholders.

6 0
3 years ago
Please help answer the question below.
In-s [12.5K]
X/-1= 4x+8 (i think)
5 0
3 years ago
Rewrite 4/5 using fifteenths
Mashcka [7]

Answer:

12/15

Step-by-step explanation:

5 0
3 years ago
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