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salantis [7]
2 years ago
6

Hi lots of work today ​

Mathematics
1 answer:
dimaraw [331]2 years ago
5 0

Answer:

x-axis

Step-by-step explanation:

The lateral line on a graph is known as the x-axis

You might be interested in
Two squares are similar. The
Pepsi [2]

Answer:

The perimeter of the second square is 36 inches

Step-by-step explanation:

Given

Represent the sides of the squares with S1 and S2.

So:

S_1:S_2 = 1 : 3 --- Scale factor

P_1 =12 --- perimeter of the first

Required

Calculate P2, the perimeter of the second

Represent the ratios of the perimeter:

Scale = P_1 : P_2

Substitute 12 for P1

Scale = 12 : P_2

Equate both scale factors

12 : P_2 = 1:3

Convert to fraction

\frac{12}{P_2} = \frac{1}{3}

Cross multiply

P_2 = 12 * 3

P_2 = 36

6 0
2 years ago
The function h(t) = 300 – 16t represents the height of a ball (in feet) dropped from 300 feet after t seconds. What will be the
Vaselesa [24]
We are given the function expressed as:

<span>h(t) = 300 – 16t

where h is the height of the ball in time t.

We calculate the height at time equal to 2.4 seconds as follows:

</span>h(t) = 300 – 16(2.4)
h(t) = 261.6 ft

Hope this answers the question. Have a nice day.
4 0
3 years ago
An airplane has 100 seats for passengers. Assume that the probability that a person holding a ticket appears for the flight is 0
zmey [24]

Answer:

96.33% probability that everyone who appears for the flight will get a seat

Step-by-step explanation:

I am going to 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 = 0.9

So

\mu = E(X) = np = 105*0.9 = 94.5

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{105*0.9*0.1} = 3.07

What is the probability that everyone who appears for the flight will get a seat

100 or less people appearing to the flight, which is the pvalue of Z when X = 100. So

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

Z = \frac{100 - 94.5}{3.07}

Z = 1.79

Z = 1.79 has a pvalue of 0.9633

96.33% probability that everyone who appears for the flight will get a seat

7 0
2 years ago
In the spinner below, what is true about the probability of landing on 1 and the probability of landing on 6?​
Tanzania [10]

Answer:

1/6 for 1 and 1/6 for 6

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
What is the least common multiple of 156 and 321
jekas [21]

Hello  Hdolly81

<u><em>The LCM of 156 and 321 is 16692</em></u>

Backup:

156: 2,2,3,13,

321: 3,107

2 * 2 *  3 * 13 * 107 = 16692

:)

5 0
3 years ago
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