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3 years ago

13

4t−3>37t−50 please help meh

2 answers:

m_a_m_a [10]3 years ago

8 0

Here is the answer for questions like this you can use photo math for a simple fast way to do this math

vesna_86 [32]3 years ago

5 0

Answer:

t<47/33

Step-by-step explanation:

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Does this table represent a function? Why or why not?

artcher [175]

Answer:

NO. B is the answer

Step-by-step explanation:

because there are two of the same x values, causing there to <u>not</u> form a straight line.

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2 years ago

Rearrange the formula to make x the subject.<br><br> y = 4x + 3

allochka39001 [22]

Answer:

$x=\frac{y-3}{4}$

Step-by-step explanation:

$y=4x+3$

$y-3=4x$

$\frac{y-3}{4}=x$

$x=\frac{y-3}{4}$

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3 years ago

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When 2 less than 3 lots of a number is doubled the result is 5

Vitek1552 [10]

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3 years ago

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notebooks cost 1.20 dollars each.This weekend they will be on sale for 0.80 dollars.What percentage is the sale

Fiesta28 [93]

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3 years ago

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Recent census data indicated that 14.2% of adults between the ages of 25 and 34 live with their parents. A random sample of 125

kicyunya [14]

Answer:

The probability is $P(14 < X < 20 ) = 0.5354$

Step-by-step explanation:

From the question we are told that

The proportion that live with their parents is $\r p = 0.142$

The sample size is n = 125

Given that there are two possible outcomes and that this outcomes are independent of each other then we can say the Recent census data follows a Binomial distribution

i.e

$X \ \~ \ B( \mu , \sigma )$

Now the mean is evaluated as

$\mu = n * \r p$

$\mu = 125 * 0.142$

$\mu = 17.75$

Generally the proportion that are not staying with parents is

$\r q = 1 - \r p$

= > $\r q = 0.858$

The standard deviation is mathematically evaluated as

$\sigma = \sqrt{n * \r p * \r q }$

$\sigma = \sqrt{ 125 * 0.142 * 0.858 }$

$\sigma = 3.90$

Given the n is large then we can use normal approximation to evaluate the probability as follows

$P(14 < X < 20 ) = P( \frac{ 14 - 17.75}{3.90}$

Now applying continuity correction

$P(14 < X < 20 ) = P( \frac{ 13.5 - 17.75}{3.90} < \frac{ X - \mu }{\sigma } < \frac{ 19.5 - 17.75}{3.90} )$

Generally

$\frac{ X - \mu }{\sigma } = Z ( The \ standardized \ value \ of X )$

$P(14 < X < 20 ) = P( \frac{ 13.5 - 17.75}{3.90} < Z< \frac{ 19.5 - 17.75}{3.90} )$

$P(14 < X < 20 ) = P( -1.0897 < Z< 0.449 } )$

$P(14 < X < 20 ) = P( Z< 0.449 ) - P(Z < -1.0897)$

So for the z - table

$P( Z< 0.449 ) = 0.67328$

$P(Z < -1.0897) = 0.13792$

$P(14 < X < 20 ) = 0.67328 - 0.13792$

$P(14 < X < 20 ) = 0.5354$

6 0

3 years ago