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3 years ago

Four less than twice a number is fifty

Mathematics

2 answers:

Dvinal [7]3 years ago

6 0

Answer:

2a - 4 = 50

Step-by-step explanation:

Less than means that you subtract 4.

Twice a number just means that you multiply a number by 2.

And we know that all of that equals 50.

If you want to solve it..

2a - 4 = 50

+4 +4

-----------------

2a = 54

Divide both sides by 2. 54/2 = 27

a = 27

juin [17]3 years ago

3 0

Answer:

Step-by-step explanation:

50+4= 54

54/2=28

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A car was valued at $44,000 in the year 1993. The value depreciates to $15,000 by year 2002.

almond37 [142]

Answer:

The car will have lost it's total value by 2007.

Step-by-step explanation:

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3 years ago

Read 2 more answers

Todd Holland from NY grows pumpkins. He studied his past records carefully and concluded that his biggest pumpkins are distribut

ehidna [41]

Answer:

$P(X>1000)$

And the best way to solve this problem is using the normal standard distribution and the z score given by:

$z=\frac{x-\mu}{\sigma}$

If we apply this formula to our probability we got this:

$P(X>1000)=P(\frac{X-\mu}{\sigma}>\frac{1000-\mu}{\sigma})=P(Z>\frac{1000-950}{50})=P(z>1)$

And we can find this probability using the complement rule and the normal standard table and we got:

$P(z>1)=1-P(z$

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".

Solution problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

$X \sim N(950,50)$

Where $\mu=950$ and $\sigma=50$

We are interested on this probability

$P(X>1000)$

And the best way to solve this problem is using the normal standard distribution and the z score given by:

$z=\frac{x-\mu}{\sigma}$

If we apply this formula to our probability we got this:

$P(X>1000)=P(\frac{X-\mu}{\sigma}>\frac{1000-\mu}{\sigma})=P(Z>\frac{1000-950}{50})=P(z>1)$

And we can find this probability using the complement rule and the normal standard table and we got:

$P(z>1)=1-P(z$

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3 years ago

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Alenkasestr [34]

Answer:

Step-by-step explanation:

-8-10,-12-14

-8 plus -12 is -20

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3 years ago