Which operation will not change the value of any non zero number?

Combine the x tiles to get

Ivenika [448]

Pls give the question to expect that u get answers from others

Thank u

6 0

2 years ago

Help I've got 5min to figure it out 20 points for 1st actual answer and brainlyist

VARVARA [1.3K]

Chronological order
Hoped this help

4 0

2 years ago

Tony works at an airport in the UK.

bazaltina [42]

Answer:

219,000

Step-by-step explanation:

How many 6 hour periods are in a day?

24 divided by 6 is 4.

150 times 4 equals 600

finally 600 times 365 equals 219,000 planes a year

7 0

2 years ago

How much longer will it take her to finish payin her bill?

Reika [66]

I would say, C.

hope this helps:)

3 0

2 years ago

An airline finds that 5% of the persons making reservations on a certain flight will not show up for the flight. If the airline

Greeley [361]

Answer:

0.5438 = 54.38% probability that a seat will be available for every person holding a reservation and planning to fly

Step-by-step explanation:

We use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

$E(X) = np$

The standard deviation of the binomial distribution is:

$\sqrt{V(X)} = \sqrt{np(1-p)}$

Normal probability distribution

Problems of normally distributed samples can be 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.

When we are approximating a binomial distribution to a normal one, we have that $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .

In this problem, we have that:

$n = 105, p = 1 - 0.05 = 0.95$

I use p = 0.95 because i consider a success a person showing up to the flight. 5% probability that a person misses the flight, so 100-5 = 95% probability that a person shows up to the flight.

For the approximation:

$\mu = E(X) = np = 105*0.95 = 99.75$