Could someone help me with these quickly, I'm in a hurry.

Which of these professionals most directly uses geometry?

notka56 [123]

Good Morning!
<span>air traffic controller
</span>

The most cited professional who uses geometry is the air traffic controller. This professional needs to calculate routes, distances and times traveled in order to avoid accumulation of aircraft at the time of landing, for example.

8 0

2 years ago

PLS HELP ASAP<br> is this aa,sas,ss, or neither

bagirrra123 [75]

Answer:

SAS

Step-by-step explanation:

the right angles are congruent

the pairs of sides are proportional

7 0

3 years ago

Please help asap<br> What is the least common denominator of the fractions?

Reil [10]

The answer is B. 6m^3n^5. Hope I actually helped!

6 0

3 years ago

Calculating Rate of change

ivolga24 [154]

Answer/Step-by-step explanation:

We are given the following coordinates of two points on the line of the graph shown in the question as: A(2, 1) and B(4, 2)

Vertical change from point A = $y_2 - y_1 = 2 - 1 = 1$

Horizontal change from point A = $x_2 - x_1 = 4 - 2 = 2$

Rate of change = $\frac{y_2 - y_1}{x_2 - x_1} = \frac{1}{2} = 0.5$

3 0

3 years ago

Consider the question of whether the home team wins more than half of its games in the National Basketball Association. Suppose

spayn [35]

Answer:

0.0037 = 0.37% probability that the home team would win 65% or more of its games in a simple random sample of 80 games

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean $\mu = p$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}}$