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3 years ago

Solve the proportion: (will mark brainliest)

Mathematics

2 answers:

vodomira [7]3 years ago

8 0

b = 9

If the denominator on the right is half of the denominator on the left then the numerator on the right must also be half of the numerator on the left.

ycow [4]3 years ago

5 0

I also agree with nine.(9)!

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Tyler's bag of shells weighs 4.97 pounds. He finds 2 stones that weigh the same as each other and adds them to the bag. Tyler's

LUCKY_DIMON [66]

Answer:

it should be 0.7

Step-by-step explanation:

5 0

3 years ago

11z/16+7z/8=5/16 as a decimal

babunello [35]

11z/16+7z/8=5/16
(11z+14z)/16=5/16
25z=5
z=5/25=1/5

4 0

3 years ago

Seven million as a numeral

schepotkina [342]

If you mean in Roman numerals,it would be ___.VII. or it could be ((DCC))

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3 years ago

Question 9: emathintruction can you guys help me? .....

stira [4]

Answer:

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3 years ago

National data indicates that 35% of households own a desktop computer. In a random sample of 570 households, 40% owned a deskt

Elan Coil [88]

Answer:

Yes, this provide enough evidence to show a difference in the proportion of households that own a desktop.

Step-by-step explanation:

We are given that National data indicates that 35% of households own a desktop computer.

In a random sample of 570 households, 40% owned a desktop computer.

Let p = population proportion of households who own a desktop computer

SO, Null Hypothesis, $H_0$ : p = 25% {means that 35% of households own a desktop computer}

Alternate Hypothesis, $H_A$ : p $\neq$ 25% {means that % of households who own a desktop computer is different from 35%}

The test statistics that will be used here is One-sample z proportion statistics;

T.S. = $\frac{\hat p-p}{{\sqrt{\frac{\hat p(1-\hat p)}{n} } } } }$ ~ N(0,1)

where, $\hat p$ = sample proportion of 570 households who owned a desktop computer = 40%

n = sample of households = 570

So, test statistics = $\frac{0.40-0.35}{{\sqrt{\frac{0.40(1-0.40)}{570} } } } }$

= 2.437

Since, in the question we are not given with the level of significance at which to test out hypothesis so we assume it to be 5%. Now at 5% significance level, the z table gives critical values of -1.96 and 1.96 for two-tailed test. Since our test statistics doesn't lies within the range of critical values of z so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which we reject our null hypothesis.

Therefore, we conclude that % of households who own a desktop computer is different from 35%.

3 0

3 years ago