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Effectus [21]
3 years ago
12

Complete the similarity statement for the similar figures then find the scale factor

Mathematics
1 answer:
olganol [36]3 years ago
7 0

Answer:

RQS and Scale factor is 2/3.

Step-by-step explanation:

Scale factor is 2/3. 6 divided by 4 = .66 or 4/6 simplified 2/3

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How many vertices does the following shape have?
ipn [44]
Im pretty sure it’s 4
8 0
3 years ago
the radius of a battery is 16.5 meters and is 56.3 tall what is the volume of the battery round to the nearest tenth
horrorfan [7]

Answer:

48153.3

Step-by-step explanation:

π x 16 x 52 x 56 x 3

if π = 3.14, then multiply 3.14 with the other multipliers.

5 0
2 years ago
A painter charges $12 per hour plus $50 for every job. If he made $194 on a job, how many hours did he work?
Novosadov [1.4K]

Answer:

12

Step-by-step explanation:

194-50=144

144/12=12

8 0
2 years ago
Read 2 more answers
g A fair coin is tossed 20 times. The number of heads observed is the count X of successes. Give the distribution of X . Choose
Nuetrik [128]

Answer:

We assume that we have a fair coin that is p(Head)=p(Tails)=0.5

For this case we define the random variable X as "number of heads observed in 20 times". The distribution for X is given by:

X \sim Binom(n=20, p=0.5)

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!}

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

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".

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

We assume that we have a fair coin that is p(Head)=p(Tails)=0.5

For this case we define the random variable X as "number of heads observed in 20 times". The distribution for X is given by:

X \sim Binom(n=20, p=0.5)

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!}

3 0
2 years ago
Aladdin had two envelopes to start. He bought three packs of
Stells [14]
Since it starts with 2 envelopes, subtract 2 from 17 to get how many and in all 3 packs.
17 - 2 = 15
Now, we divide that number by 3 to get how many are in each envelope.
15 / 3 = 5
There are 5 envelopes in each pack.
8 0
3 years ago
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