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Serjik [45]
3 years ago
7

Help fill in the answers and are my answers rigt

Mathematics
2 answers:
Rom4ik [11]3 years ago
6 0

From the figure we can see that cost of 1 liter of item is $12

So we can apply unitary method here to find price of others

cost of 0.25 liters= 0.25*12 = $3

for 2.5 liters , cost would be 2.5*12 = $30

cost of 0.7 liters =0.7 *12 = $8.4

cost of 3.52 liters = 3.52*12= $42.24

now if in $12 we can get 1 liter of item

so in $1 we can get 1/12 = 0.083 liters of item

using this in last part,

Amount that can be bought for $57.60 = 57.60*0.083= 4.7808 liters

57.60

Anna35 [415]3 years ago
3 0

The third one tells us the price is $12 per liter, that is to say, the top number is twelve times the bottom number.

.25 × 12 = $3

.7 × 12 = $8.40

2.5 × 12 = $30

3.52 × 12 = $42.24

$57.60 / 12 = 4.80 liters

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Step by step:
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3 years ago
Log In a survey of a town, 63% of residents own a car, 20% of residents own a truck, and 4% of residents own both a car and a tr
yan [13]

Answer:

6%

Step-by-step explanation:

Let T= truck

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P(T|C)

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P(T|C)=(T∩C)/C

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lutik1710 [3]

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Step-by-step explanation:

6 0
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andreev551 [17]

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8 0
1 year ago
The mayor of a town has proposed a plan for the construction of an adjoining bridge. A political study took a sample of 13001300
Ket [755]

Answer:

No, there is not enough evidence at the 0.02 level to support the strategist's claim.

Step-by-step explanation:

We are given that a political study took a sample of 1300 voters in the town and found that 57% of the residents favored construction.

And, a political strategist wants to test the claim that the percentage of residents who favor construction is more than 54%, i.e;

Null Hypothesis, H_0 : p = 0.54 {means that the percentage of residents who favor construction is 54%}

Alternate Hypothesis, H_1 : p > 0.54 {means that the percentage of residents who favor construction is more than 54%}

The test statistics we will use here is;

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

where, p = actual percentage of residents who favor construction = 0.54

           \hat p = percentage of residents who favor construction in a sample of

                  1300 voters = 0.57

           n = sample of voters = 1300

So, Test statistics = \frac{0.57 -0.54}{\sqrt{\frac{0.57(1- 0.57)}{1300} } }

                              = 2.185

Now, at 0.02 significance level, the z table gives critical value of -2.3263 to 2.3263. Since our test statistics lie in the range of critical values which means it doesn't lie in the rejection region, so we have insufficient evidence to reject null hypothesis.

Therefore, we conclude that the percentage of residents who favor construction is 54% and the strategist's claim is not supported.

4 0
3 years ago
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