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3 years ago

8

A bouncy ball is dropped such that the height of its first bounce is 7 feet and each successive bounce is 67% of the previous bo

unce's height. What would be the height of the 8th bounce of the ball? Round to the nearest tenth (if necessary).

2 answers:

tekilochka [14]3 years ago

5 0

Answer: 0.2

Step-by-step explanation:

tatyana61 [14]3 years ago

3 0

Answer:

4.79

Hope this helps! :D

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New probabilities that have been found using Bayes' theo- rem are called a. prior probabilities. b. posterior probabilities. c.

Sphinxa [80]

Answer:

b). posterior probabilities.

Step-by-step explanation:

Posterior Probabilities are described as the updated probabilities which are estimated employing the theorem proposed by Baye. According to his theorem, an association is developed between probability and the newly received information. <u>When the previously existing probabilities are amalgamated with this updated information, it gives the existing probabilities' value a correction, update, or revision namely 'posterior probabilities</u>.' Thus, it is the probability that asserts the truth of a hypothesis and hence, <u>option b</u> is the correct answer.

6 0

3 years ago

According to a 2013 study by the Pew Research Center, 15% of adults in the United States do not use the Internet (Pew Research C

Pavel [41]

Answer:

a) For this case we can use the binomial model since we assume independent events and the same probability for each trial is the same p =0.15

b) $P(X=0)=(10C0)(0.15)^0 (1-0.15)^{10-0}=0.1969$

c) $P(X=3)=(10C3)(0.15)^3 (1-0.15)^{10-3}=0.1298$

d) $P(X \geq 1)= 1-P(X$

And using the result from part a we got:

$P(X \geq 1)= 1-P(X$

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Let X the random variable of interest, on this case we now that:

$X \sim Binom(n p)$

The probability mass function for the Binomial distribution is given as:

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

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

Solution to the problem

Part a

For this case we can use the binomial model since we assume independent events and the same probability for each trial is the same p =0.15

Part b

For this case we want this probability:

$P(X=0)$

And replacing we got:

$P(X=0)=(10C0)(0.15)^0 (1-0.15)^{10-0}=0.1969$

Part c

For this case we want this probability:

$P(X=3)$

And replacing we got:

$P(X=3)=(10C3)(0.15)^3 (1-0.15)^{10-3}=0.1298$

Part d

For this cae we want thi probability:

$P(X \geq 1)$

And we can use the complment rule and we got:

$P(X \geq 1)= 1-P(X$

And using the result from part a we got:

$P(X \geq 1)= 1-P(X$

4 0

3 years ago

Anybody know number 11

Neporo4naja [7]

Answer:

27

Step-by-step explanation:

i think

3 0

3 years ago

Read 2 more answers

Find the perimeter of the trapezoid

Alika [10]

Answer:

The correct answer is 34

Step-by-step explanation

hope this helps! ;)

5 0

3 years ago

PLEASE HELP kelly invested $1875 in a savings account which earns 3.35% interest compounded quarterly what will the account be w

attashe74 [19]

The account will be worth $2368.20 in 7 years.

The compound interest formula is

$A=p(1+\frac{r}{n})^{n\times t}$

where p is the principal invested, r is the interest rate as a decimal number, n is the number of times the interest is compounded yearly, and t is the amount of time.

3.35% = 3.35/100 = 0.0335.

Using our information, we have:
$A=1875(1+\frac{0.0335}{4})^{4*7}$

which comes out to $2368.20.

3 0

3 years ago