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posledela
3 years ago
5

The mean of the scores obtained by a class of students on a physics test is 42. The standard deviation is 8%. Students have to s

core at least 50 to pass the test.
Assuming that the data is normally distributed,  (______%) of the students passed the test.

% of students passed ?
  choices:   5   16   34   58 
Mathematics
2 answers:
NemiM [27]3 years ago
7 0
<span><u><em>The correct answer is:</em></u>
16%.

<u><em>Explanation</em></u><span><u><em>: </em></u>
We use a z-score to answer this question.
<u>The formula for a z-score is:</u>
 z=</span></span>\frac{x-mue}{sigma}<span><span>,
where mue is the mean and sigma is the standard deviation.

<u>Using our information, we have:</u>
z=</span></span>\frac{50-42}{8} =  \frac{8}{8} = 1<span><span>.

Using a z-table, we see that the area to the left of, or less than, this score is 0.8413. We want to know how many students scored more than this, so we subtract from 1:
1-0.8413=0.1587, which rounds to 16%.</span></span>
Mariana [72]3 years ago
6 0

Answer:

B. 16%.

Step-by-step explanation:

We have been given that the The mean of the scores obtained by a class of students on a physics test is 42. The standard deviation is 8%. Students have to score at least 50 to pass the test.

First of all, we will find z-score of sample score 50 by using z-score formula.

z=\frac{x-\mu}{\sigma}, where,

z=\text{z-score},

x=\text{Sample score},

\mu=\text{Mean},

\sigma=\text{Standard deviation}.

Upon substituting our given values in z-score formula we will get,

z=\frac{50-42}{8}

z=\frac{8}{8}

z=1

Now, we will use normal distribution table to find the area above the z-score of 1.

Using normal distribution table we will get,

P(z>1)=1-P(z

P(z>1)=1-0.84134

P(z>1)=0.15866

Now we will multiply our answer by 100 to convert it into percentage.

0.15866\times 100\%=15.866\%\approx 16\%

Therefore, approximately 16% of the students passed the test and option B is the correct choice.

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Answer:

a-1) Reject H0 if zcalc > 1.645

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Step-by-step explanation:

1) Data given and notation

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(a-1) H0: π ≤ .28 versus H1: π > .28. Choose the right option. Reject H0 if zcalc > 1.645 Reject H0 if zcalc < 1.645 a b

We need to conduct a hypothesis in order to test the claim that the true proportion is less than 0.28.:  

Null hypothesis:p\geq 0.28  

Alternative hypothesis:p < 0.28  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

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The rejection zone would be on this case :

Reject H0 if zcalc > 1.645

Since is a right tailed test

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False, since our calculated value is less than our critical value we Fails to reject the null hypothesis

(b) Is this a close decision?

False the calculated value is significantly less than the critical value so we FAIL to reject the null hypothesis with enough confidence.

(c) State any assumptions that are required.

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Here you go !
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I hope this helps you

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