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Alexxandr [17]
3 years ago
15

Round 22-7n=8(9n+3) pls

Mathematics
1 answer:
zepelin [54]3 years ago
4 0

Answer:

-0.025

Step-by-step explanation:

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How do I explain and show the work for a math word problem of If the baby was 8 lbs. 9 oz. and doubled her weight the first six
harkovskaia [24]

Answer:

5 lb 11⅓ oz

Step-by-step explanation:

First, convert the weight at birth from pound and ounces to just ounces.

8 lb × 16 oz/lb + 9 oz = 137 oz

The baby doubles its weight in the first six months.  That means its weight increases by 137 oz over 6 months.  To find how much weight was gained in 4 months, write a proportion.

137 / 6 = x / 4

6x = 548

x = 91 ⅓

The baby gained 91 ⅓ oz in 4 months, or 5 lb 11⅓ oz.

5 0
4 years ago
with the salary cap in the NFL, it is said that on "any given Sunday" any team could beat any other team. If we assume every wee
prohojiy [21]

Answer:

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

And we can find the individual probability like this:

P(X=0) = 16C0 (0.5)^0 (1-0.5)^{16-0} = 0.0000153

And replacing we got:

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

Step-by-step explanation:

Assuming the following question: With the salary cap in the NFL, it is said that on any given Sunday any team could beat any other team. If we assume every week of the 16 week season a team has a 50% chance of winning, what is the probability that a team will have at least 1 win?

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".  

Solution to the problem

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

X \sim Binom(n=16, 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!}  

And we want this probability:

P(X \geq 1)

And using the complement rule we got:

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

And we can find the individual probability like this:

P(X=0) = 16C0 (0.5)^0 (1-0.5)^{16-0} = 0.0000153

And replacing we got:

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

7 0
3 years ago
1 quarter 2 dimes 3 pennies how munch I have
vfiekz [6]
In total, you have 48 cents.
25+10+10+3= 48

Give 5 stars and brainliest answer if this helped please!<span>
</span>
8 0
3 years ago
Fernanda runs a large bowling league. She suspects that the league average score is greater than 150 per
murzikaleks [220]

Answer:

1.20

Step-by-step explanation:

Let mean be represented by M and standard deviation by d. The score will be x and sample number of games be n

To get the test statistic, t for Fernanda's test, we use the formula

t=\frac {M-x}{\frac{s}{\sqrt n}}

Substituting 156 for mean, M then 150 for score x and 30 for standard deviation while 36 for n then

t=\frac {156-150}{\frac{30}{\sqrt 36}}

t=1.20 when put in two decimal place

6 0
3 years ago
Lexie earned $64.38 for working from 8:00 AM to 4:15 PM. Within that time, she took a 1 hour lunch break for which she did not g
Inessa05 [86]
She gets 9$ an hour estimately
6 0
3 years ago
Read 2 more answers
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