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2 years ago

How many times can 53 go into 326 using long division

Mathematics

1 answer:

xxMikexx [17]2 years ago

7 0

Answer:

6 remainder 8

Step-by-step explanation:

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Cindy went to Maggie Moo's for an ice cream cone after school. The ice cream cone had a radius of 3 inch, a

anzhelika [568]

Answer: The cone can hold 18.84 cubic inches of ice cream.

Step-by-step explanation:

Hi, to answer this question we have to find the volume of a cone, using only the height (h) and the radius(r) values.

Volume of a cone (V) = 1/3 π r² h

Replacing with the values given:

V = 1/3 (3.14) (3)² 2

Solving:

V = 1/3 (3.14) (9) 2

V = 18.84 cubic inches

In conclusion, the cone can hold 18.84 cubic inches of ice cream.

7 0

3 years ago

Please help asap!!!!!!

timofeeve [1]

Answer:

The slope is !!! either 5 or -3

6 0

3 years ago

Aplica la operación de números enteros que corresponda:

ElenaW [278]

148+35=183

80+(-53)=27

(-125) x (-42)=5250

7 0

2 years ago

The University of Washington claims that it graduates 85% of its basketball players. An NCAA investigation about the graduation

Nonamiya [84]

Probabilities are used to determine the chances of events

The given parameters are:

Sample size: n = 20
Proportion: p = 85%

<h3>(a) What is the probability that 11 out of the 20 would graduate? </h3>

Using the binomial probability formula, we have:

$P(X = x) = ^nC_x p^x(1 - p)^{n -x}$

So, the equation becomes

$P(x = 11) = ^{20}C_{11} \times (85\%)^{11} \times (1 - 85\%)^{20 -11}$

This gives

$P(x = 11) = 167960 \times (0.85)^{11} \times 0.15^{9}$

$P(x = 11) = 0.0011$

Express as percentage

$P(x = 11) = 0.11\%$

Hence, the probability that 11 out of the 20 would graduate is 0.11%

<h3>(b) To what extent do you think the university’s claim is true?</h3>

The probability 0.11% is less than 50%.

Hence, the extent that the university’s claim is true is very low

<h3>(c) What is the probability that all 20 would graduate? </h3>

Using the binomial probability formula, we have:

$P(X = x) = ^nC_x p^x(1 - p)^{n -x}$

So, the equation becomes

$P(x = 20) = ^{20}C_{20} \times (85\%)^{20} \times (1 - 85\%)^{20 -20}$

This gives

$P(x = 20) = 1 \times (0.85)^{20} \times (0.15\%)^0$

$P(x = 20) = 0.0388$

Express as percentage

$P(x = 20) = 3.88\%$

Hence, the probability that all 20 would graduate is 3.88%

<h3>(d) The mean and the standard deviation</h3>

The mean is calculated as:

$\mu = np$

So, we have:

$\mu = 20 \times 85\%$

$\mu = 17$

The standard deviation is calculated as:

$\sigma = np(1 - p)$

So, we have:

$\sigma = 20 \times 85\% \times (1 - 85\%)$

$\sigma = 20 \times 0.85 \times 0.15$

$\sigma = 2.55$

Hence, the mean and the standard deviation are 17 and 2.55, respectively.