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romanna [79]
3 years ago
8

A set X consists of all real numbers greater than or equal to 1. Use set-builder notation to define X.

Mathematics
2 answers:
vitfil [10]3 years ago
8 0

Theory:

The standard form of set-builder notation is <span>
 
{ x | “x satisfies a condition” } </span>

This set-builder notation can be read as “the set of all x such that x (satisfies the condition)”.

For example, { x | x > 0 }  is equivalent to “the set of all x such that x is greater than 0”.

 

Solution:

In the problem, there are 2 conditions that must be satisfied:

<span>1st: x must be a real number</span>

In the notation, this is written as “x ε R”. Where ε means that x is “a member of” and R means “Real number”

 

<span>2nd: x is greater than or equal to 1</span>

This is written as “x ≥ 1”

 

Answer:

Combining the 2 conditions into the set-builder notation:

<span>X = { x | x ε R and x ≥ 1 } </span>
saw5 [17]3 years ago
5 0

Answer: X=\{x\ |\ x\ \epsilon\mathbb{R}\text{ and }x\geq1\}

Step-by-step explanation:

A set builder notation is used to build or describe the set.

In the given question, there are two conditions on elements of set X that must be satisfied i.e.

For all x\ \epsilon X x belongs to the set of real numbers i.e. \ x\ \epsilon\ \mathbb{R}.

For all x\ \epsilon X x

X=\{x\ |\ x\ \epsilon\mathbb{R}\text{ and }x\geq1\}

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Step-by-step explanation:

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2 years ago
What is the greatest whole number that rounds to 67,400?What is the least whole number?
RSB [31]
The greatest whole number that rounds to 7,400 would be 7,399. This is because there is no number that is larger than 7,399 that would round up to 7,400, since 7,400 is the next number.

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3 0
3 years ago
A researcher examines 27 water samples for iron concentration. The mean iron concentration for the sample data is 0.802 cc/cubic
Delvig [45]

Answer:

90% confidence interval for the population mean iron concentration is [0.771 , 0.832].

Step-by-step explanation:

We are given that a researcher examines 27 water samples for iron concentration. The mean iron concentration for the sample data is 0.802 cc/cubic meter with a standard deviation of 0.093.

Firstly, the pivotal quantity for 90% confidence interval for the population mean iron concentration is given by;

         P.Q. = \frac{\bar X - \mu}{\frac{s}{\sqrt{n} } } ~ t_n_-_1

where, \bar X = sample mean iron concentration = 0.802 cc/cubic meter

             s = sample standard deviation = 0.093

             n = number of water samples = 27

             \mu = population mean

<em>Here for constructing 90% confidence interval we have used t statistics because we don't know about population standard deviation.</em>

So, 90% confidence interval for the population mean, \mu is ;

P(-1.706 < t_2_6 < 1.706) = 0.90  {As the critical value of t at 26 degree of

                                                 freedom are -1.706 & 1.706 with P = 5%}

P(-1.706 < \frac{\bar X - \mu}{\frac{s}{\sqrt{n} } } < 1.706) = 0.90

P( -1.706 \times {\frac{s}{\sqrt{n} } } < {\bar X - \mu} < 1.706 \times {\frac{s}{\sqrt{n} } } ) = 0.90

P( \bar X -1.706 \times {\frac{s}{\sqrt{n} } < \mu < \bar X +1.706 \times {\frac{s}{\sqrt{n} } ) = 0.90

<u>90% confidence interval for</u> \mu = [ \bar X -1.706 \times {\frac{s}{\sqrt{n} } , \bar X +1.706 \times {\frac{s}{\sqrt{n} } ]

                                                 = [ 0.802 -1.706 \times {\frac{0.093}{\sqrt{27} } , 0.802 +1.706 \times {\frac{0.093}{\sqrt{27} } ]

                                                 = [0.771 , 0.832]

Therefore, 90% confidence interval for the population mean iron concentration is [0.771 , 0.832].

4 0
3 years ago
Given that 3x-y : x+2y = 2 : 5, Determine the ratio x:y
N76 [4]

Answer:

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Step-by-step explanation:

Given that

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Express the ratio in fractional form, that is

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13x - 5y = 4y ( add 5y to both sides )

13x = 9y ( divide both sides by 13 )

x = \frac{9}{13} y ( divide both sides by y )

\frac{x}{y} = \frac{9}{13} , that is

x : y = 9 : 13

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