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zhuklara [117]
3 years ago
14

The local bakery uses 1.75 cups of flour in each batch of cookies the bakery years is 5.25 cups of flour this morning if there a

re five dozen cookies each batch how many cookies did they make
Mathematics
1 answer:
garik1379 [7]3 years ago
5 0
They made 345 batch of cookies.
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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
3 years ago
Matt wants to play in the sand pit, and then try the swings, the slide, and the seesaw, in that order. If the units on the coord
Nataly [62]

Answer:

it should be 12

i think :)

i hope im correct

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
2 to the power of 14
mrs_skeptik [129]
2 to the power of 14 means 2^14.
That would be 16384.
6 0
3 years ago
Read 2 more answers
Halla ei valor de x en cada exprecion<br>mai​
In-s [12.5K]

Answer:

<h2>Your answer...!!</h2>

Hope it helps

8 0
2 years ago
A data set consists of the values 2, 6, 3, and 1. If we consider this a population (all the values available), the variance isA.
Hoochie [10]

Answer: E. none of the above

Step-by-step explanation:

The given data values that represents the population:

2, 6, 3, and 1.

Number of values : n=4

Mean of the data values = \dfrac{\text{Sum of values}}{\text{No. of values}}

\dfrac{2+6+3+1}{4}=\dfrac{12}{4}=3

Sum of the squares of the difference between each values and the mean =

(2-3)^2+(6-3)^2+(3-3)^2+(1-3)^2

=-1^2+3^2+0^2+(-2)^2

=1+9+0+4=14

Now , Variance = (Sum of the squares of the difference between each values and the mean ) ÷ (n)

= (14) ÷ (4)= 3.5

Hence, the  variance is 3.5.  

Therefore , the correct  answer is "E. none of the above".

8 0
3 years ago
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