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Mamont248 [21]
3 years ago
12

Rationalise

0%7D%20" id="TexFormula1" title="{ \frac{1 + \sqrt{3} }{ \sqrt{12} } } " alt="{ \frac{1 + \sqrt{3} }{ \sqrt{12} } } " align="absmiddle" class="latex-formula">
​
Mathematics
2 answers:
SOVA2 [1]3 years ago
6 0

Answer:

\frac{2\sqrt{3} + 6}{12}

Step-by-step explanation:

Simplify the denominator of \frac{1 + \sqrt{3} }{\sqrt{12} } completely.

=> \frac{1 + \sqrt{3} }{ \sqrt{(4 \times 3)} } = \frac{1 + \sqrt{3} }{\sqrt{4} \times \sqrt{3}  } = \frac{1 + \sqrt{3} }{2\sqrt{3} }

Now, to rationalise it you need to make the denominator rational.

  • Multiply & divide \frac{1 + \sqrt{3} }{2\sqrt{3} } by 2\sqrt{3}.

=> \frac{1 + \sqrt{3} }{2\sqrt{3} } \times \frac{2\sqrt{3} }{2\sqrt{3} }

=> \frac{(1 + \sqrt{3})\times 2\sqrt{3}  }{2\sqrt{3} \times 2\sqrt{3} }

=> \frac{2\sqrt{3} + 6 }{12}

Arlecino [84]3 years ago
5 0

Answer:

Step-by-step explanation:

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The probability of a random sample of 40 households having a sample means a number of at least 2.55 televisions per household is 0.48173.

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What is a probability distribution?

A probability distribution is a kind of function for a discrete variable X, whose distribution over a certain interval is discrete or it shows the density of a random variable X that occurs over a given interval in the given distribution.

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The z-score or the z-value shows the number of standard deviations unit away lies the given random variable from the mean.

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The formula to calculate the z-score from the mean. The standard deviation is:

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Let's solve the given question:

We have,

Mean(μ) = 2.24,

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a random variable for X = 2.55

As it is given sample means at least 2.55 so we have to find the Z(x ≥ 2.55).

Therefore, Z(x ≥ 2.55) = (2.55 - μ) / ( σ / √(n))

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Z(x ≥ 2.55) = (2.55 - 2.24) / ( 1.38 / √(40))

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Z(x ≥ 2.55) = 0.48173

Hence the probability of a random sample of 40 households having a sample means a number of at least 2.55 televisions per household is 0.48173.

Know more about “probability distribution” here: brainly.com/question/11234923

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Disclaimer: The given question is incomplete. The complete question is mentioned below:

a media statistics agency reports that the mean number of televisions in a household in a particular country is 2.24 with a standard deviation of 1.38 what is the probability of a random sample of 40 households having a sample means a number of at least 2.55 televisions per household?

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