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mafiozo [28]
3 years ago
9

A sprinkler waters in a circular pattern, spraying water out 3.2 meters. How much surface will it water

Mathematics
1 answer:
Zepler [3.9K]3 years ago
8 0

Answer:

The Area of a circle is  

πr2=808.64

(3.14)r2=808.64

Divide both sides by 3.14

r2=257.5286624

Square root both sides to get radius

r=16 feet

Step-by-step explanation:

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Find quotient and remainder b)diving 2x^3- 5x² +x+2
tekilochka [14]

Given:

Dividend = 2x^3-5x^2+x+2

Divisor = x-2

To find:

The quotient and remainder.

Solution:

We have,

Dividend = 2x^3-5x^2+x+2

Divisor = x-2

Divide 2x^3-5x^2+x+2 by x-2 as shown in the below picture.

Dividing 2x^3-5x^2+x+2 by x-2, we get

Quotient=2x^2-x-1

Remainder=0

Therefore, Quotient=2x^2-x-1 and Remainder=0.

3 0
3 years ago
H = 3 + 31t - 161²<br> Find all values of t for which the ball's height is 17 feet .​
jasenka [17]

Answer:

t= 31/175 ≈ 5.64516129

​

Step-by-step explanation:

Refer Pic For Steps....

Hope it Helps!!!

3 0
2 years ago
How do you do these? 2x + 3&gt; -9 &amp; -3x + 5&lt; 14
Alecsey [184]
First get everything to one side by adding 9 to 2x + 3 and you end up with 2x + 3 + 9 > 0 and you add 9 and 3 and it will be 2x + 12 > 0 and do the same for the second one but if your trying to solve for x, subtract the 3 on both sides and you will get 2x > -12 then you divide 2 by both sides and you get x which is
x > -6
8 0
3 years ago
In a game, you toss a fair coin and a fair six-sided die. If you toss a heads on the coin and roll either a 3 or a 6 on the die,
pochemuha

Using probabilities, it is found that the expected profit of one round of this game is of $0.

A probability is the <u>number of desired outcomes divided by the number of total outcomes</u>.

  • One of the two sides of the coin are heads.
  • 2 of the 6 sides of the dice are 3 or 6.

Hence, since the coin and the dice are independent, the <em>probability </em>of winning is:

p = \frac{1}{2} \times \frac{2}{6} = \frac{1}{6}

The expected value is the <u>sum of each outcome multiplied by its respective probability</u>.

In this problem:

  • \frac{1}{6} probability of earning $30.
  • \frac{5}{6} probability of losing $6.

Then:

E(X) = 30\frac{1}{6} - 6\frac{5}{6} = 5 - 5 = 0

The expected profit of one round of this game is of $0.

A similar problem is given at brainly.com/question/24855677

5 0
3 years ago
The manufacturer of an airport baggage scanning machine claims it can handle an average of 553 bags per hour. (a-1) At α = .05 i
timurjin [86]

Answer:

H1 : μ < 553. Reject H1 if tcalc > –1.753.

There is not enough evidence to reject the manufacturer’s claim.

Step-by-step explanation:

We are given that the manufacturer of an airport baggage scanning machine claims it can handle an average of 553 bags per hour.

A sample of 16 randomly chosen hours with a mean of 533 and a standard deviation of 47 is given.

Let \mu = <u><em>average bags that an airport baggage scanning machine can handle.</em></u>

SO, Null Hypothesis, H_0 : \mu \geq 553 bags     {means that the manufacturer’s claim is not overstated}

Alternate Hypothesis, H_0 : \mu < 553 bags     {means that the manufacturer’s claim is overstated}

The test statistics that would be used here <u>One-sample t-test statistics</u> as we don't know about population standard deviation;

                            T.S. =  \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }  ~ t_n_-_1

where, \bar X = sample mean = 533 bags

            s = sample standard deviation = 47

            n = sample of hours = 16

So, <u><em>the test statistics</em></u>  =  \frac{533-553}{\frac{47}{\sqrt{16} } }  ~ t_1_5

                                     =  -1.702

The value of t test statistics is -1.702.

<u>Now, at 0.05 significance level the t table gives critical value of -1.753 at 15 degree of freedom for left-tailed test.</u>

Since our test statistic is more than the critical value of t as -1.702 > -1.753, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which <u><em>we fail to reject our null hypothesis</em></u>.

Therefore, we conclude that the manufacturer’s claim is not overstated and an airport baggage scanning machine can handle an average of 553 bags per hour.

5 0
3 years ago
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