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ollegr [7]
3 years ago
15

Misty wishes to obtain 85 ounces of a 40% acid solution by combining a 72% acid solution with a 25% acid solution. How much of e

ach solution should Misty use?
Mathematics
1 answer:
ad-work [718]3 years ago
6 0
<h2>Answer:</h2><h2>Misty needs 27.13 ounces of 72% acid and 57.87% of 25% acid solution.</h2>

Step-by-step explanation:

85 ounces of 40% acid solution = 85 (0.4) = 34

Also, x + y = 85 ... (1)

0.72x + 0.25y = 34  

72x + 25y = 3400 ...(2)

multiply eq (1) by 25, we get 25x + 25y = 2125 ... (3)

subtracting eq(2) and (3), we get 47x = 1275

x = 27.13 substitute in eq(1), we get

y = 57.87

Misty needs 27.13 ounces of 72% acid and 57.87% of 25% acid solution.

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Several programs attempt to address the shortage of qualified teachers by placing uncertified instructors in schools with acute
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Answer:

We conclude that the mean scores with uncertified teachers is higher or equal as compared to certified teachers.

Step-by-step explanation:

We are given that reading scores of the students of certified teachers averaged 35.62 points with standard deviation 9.31. The scores of students instructed by uncertified teachers had mean 32.48 points with standard deviation 9.43 points on the same test.

There were 44 students in each group.

Let \mu_1 = <em><u>mean scores with uncertified teachers.</u></em>

\mu_2 = <em><u>mean scores with certified teachers.</u></em>

So, Null Hypothesis, H_0 : \mu_1\geq \mu_2     {means that the mean scores with uncertified teachers is higher or equal as compared to certified teachers}

Alternate Hypothesis, H_A : \mu_1     {means that the mean scores with uncertified teachers is lower as compared to certified teachers}

The test statistics that would be used here <u>Two-sample t test statistics</u> as we don't know about the population standard deviations;

                          T.S. =  \frac{(\bar X_1-\bar X_2)-(\mu_1-\mu_2)}{s_p\sqrt{\frac{1}{n_1} +\frac{1}{n_2} } }  ~ t__n__1-_n__2-2

where, \bar X_1 = sample mean scores of students instructed by uncertified teachers = 32.48 points

\bar X_2 = sample mean scores of students instructed by certified teachers = 35.62 points

s_1 = sample standard deviation of scores of students instructed by uncertified teachers = 9.43 points

s_2 = sample standard deviation of scores of students instructed by certified teachers = 9.31 points

n_1 = sample of students under uncertified teachers = 44

n_2 = sample of students under certified teachers = 44

Also,  s_p=\sqrt{\frac{(n_1-1)s_1^{2} +(n_2-1)s_2^{2} }{n_1+n_2-2} } = \sqrt{\frac{(44-1)\times 9.43^{2} +(44-1)\times 9.31^{2} }{44+44-2} } = 9.37

So, <u><em>the test statistics</em></u>  =  \frac{(32.48-35.62)-(0)}{9.37 \times \sqrt{\frac{1}{44} +\frac{1}{44} } }  ~ t_8_6

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Since, in the question we are not given the level of significance so we assume it to be 5%. <u>Now, at 5% significance level the t table gives critical values of -1.665 at 86 degree of freedom for left-tailed test.</u>

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Therefore, we conclude that the mean scores with uncertified teachers is higher or equal as compared to certified teachers.

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