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4 years ago

How many 1/3 pounds serving in 4 2/3 pound of cheese

1 answer:

3 0

Change 4 and 2/3 to an improper fraction.
4 + 2/3 = 14/3
There are 14 of the 1/3 lb serving in 4 and 2/3 pounds of cheese.

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The county fair charges $1.25 per ticket for the rides. Jermaine bought 25 tickets for the rides and spent a total of $43.75 at

Aleksandr-060686 [28]

A.)y=1.25x+12.5

B.)ridecost+admission=total

if x=number of tickets and y is total and cost per ride is 1.25,

1.25x+admission=y

when we solve

when x=25, y=43.75

Hope This Helps!!!

-Austint1414

5 0

3 years ago

Read 2 more answers

It is estimated that 45% of people in Fast-Food restaurants order a diet drink with their lunch. Find the probability that the f

mixer [17]

Answer:

So, the probability is P=0.041.

Step-by-step explanation:

We know that 45% of people in Fast-Food restaurants order a diet drink with their lunch.

We conclude that the probaility p=0.45 that a person order a diet drink.

We calculate the probability that the fourth person orders a diet drink.

We get:

$P=p^4\\\\P=0.45^4\\\\P=0.041\\$

So, the probability is P=0.041.

5 0

3 years ago

Will give brainliest!!

sladkih [1.3K]

Answer:

Infitite solutions (C)

Step-by-step explanation:

They are the same line.

6 0

3 years ago

A survey showed that 79% of adults need correction (eyeglasses, contacts, surgery, etc.) for their eyesight. If 14 adults are

Alexxandr [17]

Answer:

$P(X \leq 1) = P(X=0) +P(X=1)$

And if we find the indidivual probabilities we got:

$P(X=0)=(14C0)(0.79)^0 (1-0.79)^{14-0}=3.24x10^{-10}$

$P(X=1)=(14C1)(0.79)^1 (1-0.79)^{14-1}=1.71*10^{-8}$

And replacing we got:

$P(X \leq 1) = 1.74x10^{-8}$

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:

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

The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: $P(A)+P(A') =1$

Solution to the problem

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

$X \sim Binom(n=14, p=0.79)$

For the first part we want this probability:

$P(X \leq 1) = P(X=0) +P(X=1)$

And if we find the indidivual probabilities we got:

$P(X=0)=(14C0)(0.79)^0 (1-0.79)^{14-0}=3.24x10^{-10}$

$P(X=1)=(14C1)(0.79)^1 (1-0.79)^{14-1}=1.71*10^{-8}$

And replacing we got:

$P(X \leq 1) = 1.74x10^{-8}$

4 0

3 years ago

A package of notepads contains 6 yellow, 6 blue, 6 green, and 6 pink notepads. An experiment consists of randomly selecting one

Ksivusya [100]

Answer:

Step-by-step explanation:

Given that:

Number of yellow notepads = 6

Number of Blue notepad = 6

Number of green notepads = 6

Number of pink notepads = 6

Samole space for experiment :

(Number of different distinct notepads * Number of notepads in each)

(4 * 6) = 24

8 0

3 years ago