Twice a number increased by 5 is less then -9

How would I organize the calculation

Viefleur [7K]

Answer:

52 should be the answer

Step-by-step explanation:

first, love the parathesis. subtract 7-2

second 3 raised to the second power

third times 3 raised to the third power by 5 the answer a few u substrates 7-2

fourth 14 divide 2

finally I would add (14/2) 7 + 45 (which is 9 times 5)

read through it carefully by the end if the problem, you should have 52 as the ans

6 0

2 years ago

AMERICAN AIRLINES HAS A POLICY OF BOOKING AS MANY AS 15 PEOPLE ON AN AIRPLANE THAT CAN SEAT ONLY 14. (PAST STUDIES HAVE REVEALED

Blizzard [7]

Using the binomial distribution, there is a 0.0874 = 8.74% probability that not enough seats will be available.

<h3>What is the binomial distribution formula?</h3>

The formula is:

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$

$C_{n,x} = \frac{n!}{x!(n-x)!}$

The parameters are:

x is the number of successes.

n is the number of trials.

p is the probability of a success on a single trial.

For this problem, the values of the parameters are given by:

n = 15, p = 0.85.

The probability that not enough seats will be available is P(X = 15), as the only outcome in which not enough seats will be available is when all 15 people who bought the ticket show up, hence:

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$

$P(X = 15) = C_{15,15}.(0.85)^{15}.(0.15)^{0} = 0.0874$

0.0874 = 8.74% probability that not enough seats will be available.

More can be learned about the binomial distribution at brainly.com/question/24863377

#SPJ1

8 0

1 year ago

According to the National Association of Realtors, the mean sale price for existing homes in the United States in 2011 was $214,

Free_Kalibri [48]

<h3>Answer: 49.85% (second answer choice)</h3>

===========================================

Explanation:

mu = 214300 = population mean of home values

sigma = 41000 = population standard deviation of home values

Compute the z score for the raw score x = 91300

z = (x-mu)/sigma

z = (91300-214300)/41000

z = -123000/41000

z = -3

This tells us the raw score x = 91300 is exactly 3 standard deviations below the mean.

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

Compute the z score for the raw score x = 214300

z = (x-mu)/sigma

z = (214300-214300)/41000

z = 0/41000

z = 0

This is expected as the raw score x = 214300 is exactly at the mean

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

Finding P(91300 < x < 214300) is equivalent to computing P(-3 < z < 0)

Recall that the empirical rule states roughly 99.7% of the distribution is within 3 standard deviations of the mean.

In terms of an equation, this means P(-3 < Z < 3) = 0.997 approximately.

Cut 99.7% in half to get (99.7%)/2 = 49.85%

So, P(-3 < Z < 0) = 0.4985 approximately.

4 0

4 years ago

Can yall tell me what im doing wrong? for 50 points.

Aloiza [94]

Crackdown result: <u>DFBG</u>

$\sf slope \ (m): \dfrac{y_2-y_1}{x_2-x_1}$

1)

$\rightarrow \sf m = \dfrac{-13-19}{-1-3}$

<u>simplify</u>

$\rightarrow \sf m=8$

2) take two points: (-1,-1), (0, 1)

$\rightarrow \sf m = \dfrac{1-(-1)}{0-(-1)}$

<u>simplify</u>

$\rightarrow \sf m = 2$

3) take two points: (1, -8), (2, -16)

$\rightarrow \sf m = \dfrac{-16-(-8)}{2-1}$

<u>simplify</u>

$\rightarrow \sf m = -8$

4)

$\rightarrow \sf m = \dfrac{8-(-10)}{0-9}$

<u>simplify</u>

$\rightarrow \sf m = -2$

4 0

2 years ago

Read 2 more answers

The length of time needed to complete a certain test is normally distributed with mean 62 minutes and standard deviation 8 minut

NeX [460]

Answer: the correct option is e

Step-by-step explanation:

Since the The length of time needed to complete a certain test is normally distributed, we would apply the the formula for normal distribution which is expressed as

z = (x - u)/s

Where

x = The length of time needed to complete a certain test

u = mean time

s = standard deviation

From the information given,

u = 62 minutes

s = 8 minutes

We want to find the probability the probability that it will take less than 74 minutes to complete the test. It is expressed as

P(x lesser than or equal to 74)

For x = 74,

z = (74 - 62)/8 = 1.5

Looking at the normal distribution table, the corresponding value for the z score is 0.9332

P(x lesser than or equal to 74) = 0.9332

6 0

3 years ago