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musickatia [10]
3 years ago
8

Fifteen less than twice a number is 53.solve 2n-15=53

Mathematics
2 answers:
Maurinko [17]3 years ago
6 0
2n-15=53
You need to get n by itself. To do that we need to simplify the left hand side of the equation. To do so, we move everything away from n. First add 15 to both sides to eliminate it on the left side. 
2n-15+15=53+15
2n=68
next divide by 2 to solve for n
2n/2=68/2
n=34
vaieri [72.5K]3 years ago
5 0
First add 15 to both sides:

2n = 68

Then divide each side by two.

n = 34
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Let us first find how much he is spending every year, to do this let's find his monthly expense and multiply it by 12.


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To find out how much he spends yearly, multiply the monthly value by 12,
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Q 4.19: To verify whether there are negative consequences of taking a new type of medicine, 3000 tests were conducted. Assume th
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The p-value obtained is less than the significance level at which the test was performed at, hence, we reject the null hypothesis, accept the alternative hypothesis & say that there is enough evidence to conclude that the the new medicine is potentially harmful.

Step-by-step explanation:

The null hypothesis plays the devil's advocate and usually takes the form of the opposite of the theory to be tested. It usually contains the signs =, ≤ and ≥ depending on the directions of the test.

While, the alternative hypothesis usually confirms the the theory being tested by the experimental setup. It usually contains the signs ≠, < and > depending on the directions of the test.

For this question, the null hypothesis is that the new medicine has no negative effects and the alternative hypothesis is that the new medicine is potentially harmful

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The null hypothesis is represented as

H₀: p = 0

The alternative hypothesis is represented as

Hₐ: p > 0

To do this test, we will use the z-distribution because although no information on the population standard deviation is known, the sample size is large enough.

So, we compute the test statistic

z = (x - μ)/σₓ

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σₓ = √[0.0103×0.9897/3000] = 0.0018462936 = 0.0018463

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checking the tables for the p-value of this test statistic

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p-value (for z = 5.60, at 0.01 significance level, with a one tailed condition) = < 0.00001

The interpretation of p-values is that

When the (p-value > significance level), we fail to reject the null hypothesis and when the (p-value < significance level), we reject the null hypothesis and accept the alternative hypothesis.

So, for this question, significance level = 0.01

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Hence,

p-value < significance level

This means that we reject the null hypothesis, accept the alternative hypothesis & say that there is enough evidence to conclude that the the new medicine is potentially harmful.

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