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nlexa
3 days ago
9

A lab technician has to fill the tank given below. Find it’s volume .

Mathematics
1 answer:
lawyer [4K]3 days ago
6 0

Answer:

El volumen del cilindro mostrado en la figura es de 628 metros cúbicos

Explicación paso a paso:

La figura proporcionada se refiere a un cilindro

La altura del cilindro = h = 8 metros

El radio de la base del cilindro = r = 5 metros

Ahora, definamos el volumen del cilindro = V m³

Por lo tanto, el volumen del cilindro está dado por V = \pi×r²×h

donde r es el radio de la base

y h es la altura del cilindro

El valor de \pi = 3.14

Así que, V = \pi × r² × h

O, V = 3.14 × (5)² × 8

O, V = 3.14 × 25 × 8

o, V = 628 m³

Así que, el volumen del cilindro es V = 628 m³

Por lo tanto, el volumen del cilindro mostrado en la figura es de 628 metros cúbicos

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Nearest hundred thousand: 100,000

Nearest ten thousand: 130,000

Nearest thousand: 127,000

The amount that is closest to the actual attendance is 127,000 when rounded to the nearest thousand.
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Indeed, a fare of $40 is a fair charge for the cab ride.

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In triangle RST, m∠R > m∠S + m∠T. Which must be true of triangle RST? Check all that apply.
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Answer:

∠ R > 90°

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\angle R > \angle T

\angle R > \angle S    

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Dado que en el triángulo RST

\angle R> (\angle s +\angle T)

Ahora, según la condición, un ángulo es mayor que la suma de los otros dos ángulos.

En un triángulo, la suma de los tres ángulos es 180°

Por lo tanto, si un ángulo mide  90°, la suma de los otros dos debe ser igual a 90°

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De lo anterior, se concluye que

Para, \angle R> (\angle s +\angle T)

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\angle s + \angle T < \angle 90

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a) Null hypothesis:\mu \geq 10

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b) p_v =P(t_{17}

Given that the p-value is lower than the significance threshold in this situation, we have sufficient grounds to reject the null hypothesis.

c) p_v =P(t_{17}

In this case, since the p-value exceeds the significance threshold, we have adequate evidence to FAIL to reject the null hypothesis.

d) p_v =P(t_{17}

Here again, with the p-value being less than the significance level, we can reject the null hypothesis.

Step-by-step explanation:

1) Provided data and references

\bar X represents the average of the samples

s denotes the standard deviation of the samples

n=18 indicates the number of samples

\mu_o =10 is the value we are examining

\alpha defines the significance level for the test.

t represents the specific statistic of interest

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Define the null and alternative hypotheses.

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Part a

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If we consider the sample size being less than 30 and the population deviation unknown, it’s more appropriate to use a t-test to compare the actual mean with the reference value, calculated as:

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}} (1)

Part b

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Initially, we need to calculate the degrees of freedom df=n-1=18-1=17

Since this is a left-tailed test, the p-value is determined by:

p_v =P(t_{17}

In this instance, with the p-value being less than the significance level, we have sufficient evidence to reject the null hypothesis.

Part c

For this situation t=-1.8, \alpha=0.01

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For the left-tailed test, the p-value is given by:

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Part d

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Since we are conducting a left-tailed test, the p-value is calculated as:

p_v =P(t_{17}

Here, with the p-value being lower than the significance threshold, we can reject the null hypothesis.

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