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julsineya [31]
4 years ago
8

What is log(z^4/5) written in expanded form?

Mathematics
1 answer:
Ostrovityanka [42]4 years ago
4 0

To get answer:

\mathrm{Apply\:log\:rule}:\quad \log _c\left(\frac{a}{b}\right)=\log _c\left(a\right)-\log _c\left(b\right)\\\log _{10}\left(\frac{z^4}{5}\right)=\log _{10}\left(z^4\right)-\log _{10}\left(5\right)\\=\log _{10}\left(z^4\right)-\log _{10}\left(5\right)\\\mathrm{Simplify}\:\log _{10}\left(z^4\right)\\\log _{10}\left(z^4\right)\\\mathrm{Apply\:log\:rule\:}\log _a\left(x^b\right)=b\cdot \log _a\left(x\right),\:\quad \mathrm{\:assuming\:}x\:\ge \:0\\=4\log _{10}\left(z\right)\\

Answer: 4\log _{10}\left(z\right)-\log _{10}\left(5\right)

Answer: 4logz−log5

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According to pythagorean theorem
(sqrt20)² = (sqrt10)² + x², so x = sqrt(20-10) = sqrt 10
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3 years ago
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Suppose a professional golfing association requires that the standard deviation of the diameter of a golf ball be less than 0.00
Bingel [31]

Answer:

We conclude that the standard deviation of the diameter of a golf ball is less than 0.005 inch.

Step-by-step explanation:

We are given that a professional golfing association requires that the standard deviation of the diameter of a golf ball be less than 0.005 inch.

Assume that the population is normally distributed: 1.678, 1.681, 1.676, 1.684, 1.676, 1.679, 1.681, 1.681, 1.677, 1.676, 1.681, 1.683.

Let \sigma = <u><em>population standard deviation of the diameter of a golf ball.</em></u>

SO, Null Hypothesis, H_0 : \sigma \geq 0.005 inch     {means that the standard deviation of the diameter of a golf ball is more than or equal to 0.005 inch}

Alternate Hypothesis, H_0 : \sigma < 0.005 inch     {means that the standard deviation of the diameter of a golf ball is less than 0.005 inch}

The test statistics that would be used here <u>One-sample Chi-square test statistics</u>;

                            T.S. =  \frac{(n-1)s^{2} }{{\sigma^{2} }}  ~ \chi^{2} __n_-_1

where, s = sample standard deviation = \sqrt{\frac{\sum (X-\bar X)^{2} }{n-1} }  = 0.00281 inch

           n = sample size = 12

So, <u><em>the test statistics</em></u>  =  \frac{(12-1)\times 0.00281^{2} }{{0.005^{2} }}  ~ \chi^{2} __1_1

                                     =  3.47

The value of chi-square test statistics is 3.47.

Also, the P-value of test statistics is given by the following formula;

                P-value = P( \chi^{2} __1_1 < 3.47) = 0.0182

Since, the P-value of the test statistics is less than the level of significance as 0.0182 < 0.05, so we reject our null hypothesis.

<u>Now, at 0.05 significance level the chi-square table gives critical value of 4.575 at 11 degree of freedom for left-tailed test.</u>

Since our test statistic is less than the critical value of chi-square as 3.47 < 4.575, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which <u><em>we reject our null hypothesis</em></u>.

Therefore, we conclude that the standard deviation of the diameter of a golf ball is less than 0.005 inch.

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Answer:

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Answer:

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given 3x² - 10x = - 2 ( add 2 to both sides )

3x² - 10x + 2 = 0 ← in standard form

with a = 3, b = - 10 and c = 2

b² - 4ac = (- 10)² - (4 × 3 × 2) = 100 - 24 = 76


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