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anastassius [24]
3 years ago
8

You have one type of nut that sells for $2.80/lb and another type of nut that sells for $5.30/lb. You would like to have 12.5 lb

s of a nut mixture that sells for $3.80/lb. How much of each nut will you need to obtain the desired mixture?
Mathematics
1 answer:
liq [111]3 years ago
8 0

Answer:

7.5\text{ lbs and }5\text{ lbs}

Step-by-step explanation:

GIVEN: You have one type of nut that sells for \$2.80\text{/lb} and another type of nut that sells for \$5.30\text{/lb}. You would like to have 12.5\text{ lbs} of a nut mixture that sells for \$3.80\text{/lb}  

TO FIND: How much of each nut will you need to obtain the desired mixture.

SOLUTION:

Rate of first type of nut =\$2.80\text{/lb}  

Rate of second type of nuts  =\$5.30\text{/lb}

Total amount of nut mixture =12.5\text{ lbs}

let the total quantity of first type of nut be =x\text{ lbs}

quantity of second type of nuts =12.5-x \text{ lbs}

Now,

rate of new nut mixture =\$3.80\text{/lb}

rate of new mixture =\frac{\text{rate of first type of nuts}\times\text{quantity of first type nuts}+\text{quantity of second type of nuts}\times\text{rate of second type of nuts}}{\text{total quantity}}putting values

            \frac{2.80\times x+5.3\times(12.5-x)}{12.5}=3.8

           2.8x+5.3\times12.5-5.3x=12.5\times3.8

           2.5x=18.75

          x=7.5\text{ lbs}

quantity of first type of nuts =7.5\text{ lbs}

quantity of second type of nuts =12.5-7.5=5\text{ lbs}

Hence 7.5\text{ lbs} of first type of nuts and 5\text{ lbs} of second type of nuts are required to obtain the desired mixture.

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Refer to the following scenario:You want to see if there is a difference between the exercise habits of Science majors and Math
bekas [8.4K]

Answer:

1. H0: P1 = P2

2. Ha: P1 ≠ P2

3. pooled proportion p = 0.542

4. P-value = 0.0171

5. The null hypothesis failed to be rejected.

At a signficance level of 0.01, there is not enough evidence to support the claim that there is significant difference between the exercise habits of Science majors and Math majors .

6. The 99% confidence interval for the difference between proportions is (-0.012, 0.335).

Step-by-step explanation:

We should perform a hypothesis test on the difference of proportions.

As we want to test if there is significant difference, the hypothesis are:

Null hypothesis: there is no significant difference between the proportions (p1-p2 = 0).

Alternative hypothesis: there is significant difference between the proportions (p1-p2 ≠ 0).

The sample 1 (science), of size n1=135 has a proportion of p1=0.607.

p_1=X_1/n_1=82/135=0.607

The sample 2 (math), of size n2=92 has a proportion of p2=0.446.

p_2=X_2/n_2=41/92=0.446

The difference between proportions is (p1-p2)=0.162.

p_d=p_1-p_2=0.607-0.446=0.162

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

p=\dfrac{X_1+X_2}{n_1+n_2}=\dfrac{82+41}{135+92}=\dfrac{123}{227}=0.542

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{0.542*0.458}{135}+\dfrac{0.542*0.458}{92}}\\\\\\s_{p1-p2}=\sqrt{0.001839+0.002698}=\sqrt{0.004537}=0.067

Then, we can calculate the z-statistic as:

z=\dfrac{p_d-(\pi_1-\pi_2)}{s_{p1-p2}}=\dfrac{0.162-0}{0.067}=\dfrac{0.162}{0.067}=2.4014

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

\text{P-value}=2\cdot P(z>2.4014)=0.0171

As the P-value (0.0171) is bigger than the significance level (0.01), the effect is not significant.

The null hypothesis failed to be rejected.

At a signficance level of 0.01, there is not enough evidence to support the claim that there is significant difference between the exercise habits of Science majors and Math majors .

We want to calculate the bounds of a 99% confidence interval of the difference between proportions.

For a 99% CI, the critical value for z is z=2.576.

The margin of error is:

MOE=z \cdot s_{p1-p2}=2.576\cdot 0.067=0.1735

Then, the lower and upper bounds of the confidence interval are:

LL=(p_1-p_2)-z\cdot s_{p1-p2} = 0.162-0.1735=-0.012\\\\UL=(p_1-p_2)+z\cdot s_{p1-p2}= 0.162+0.1735=0.335

The 99% confidence interval for the difference between proportions is (-0.012, 0.335).

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Answer:

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Step-by-step explanation:

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$71 per week

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Answer:

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Step-by-step explanation:

The area of the large rectangle is

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The area of the unshaded region is

A = b*b = b^2

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