All categories

2 years ago

The table shows the number of flights leaving an airport. How many flights leave in four days?

Mathematics

1 answer:

Vera_Pavlovna [14]2 years ago

4 0

Answer:

Step-by-step explanation:

1 times what equals 16

what =16

2 times what equals 32

what=16

etc....

The answer is 16 because the table shows multiples of 16.

16, 32, 48,64, 80....

You might be interested in

Factor 7x3y4−7x2y5 completely.

Anastasy [175]

Answer:

Step-by-step explanation:

when we factor completely, we take a look at what is the biggest common factor of 7x³y⁴ and 7x²y⁵. In this case it is 7x²y⁴.

7x³y⁴-7x²y⁵ = 7x²y⁴(x-y) which is B.

7 0

2 years ago

How do you do this? Someone give me the answer

Gemiola [76]

It would last 13.5 weeks because you would make a proportion:
12/16 = x/18 and then cross multiply. You would get 216=16x, then you have to divide both sides by 16 to get x = 13.5

4 0

2 years ago

0.85 in fractional notation

artcher [175]

If you would like to write 0.85 in a fractional notation, you can do this using the following steps:

0.85 = 85/100 which simplifies to 17/20 <span>(the common factor of 85 and 100 is 5, so you can divide both numbers by 5).

The correct result would be 17/20.</span>

8 0

2 years ago

Read 2 more answers

How to factor y= x^3-x^3-3x when the answer is y=(x-1)(x^2+3)

riadik2000 [5.3K]

Answer:

R u in geometry 1?

Step-by-step explanation:

4 0

2 years ago

According to the National Vital Statistics, full-term babies' birth weights are Normally distributed with a mean of 7.5 pounds a

Sav [38]

Answer:

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 7.5, \sigma = 1.1$