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Grace [21]
3 years ago
5

PLZZZZ HELPPPPPP NOWWWWWW PLZ PLZ PLZ

Mathematics
1 answer:
telo118 [61]3 years ago
8 0

Answer:

1. T

2. O

3. L

4. C

5.B

6.H

Step-by-step explanation:

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Because all airline passengers do not show up for their reserved seat, an airline sells 125 tickets for a flight that holds only
bekas [8.4K]

Answer: a) 0.9961, b) 0.9886

Step-by-step explanation:

Since we have given that

Probability that does not show up = 0.10

Probability that show up = 0.90

Here, we use "Binomial distribution":

n = 125 and p = 0.90

Number of passengers that hold in a flight = 120

a) What is the probability that every passenger who shows up can take the flight?

P(X\leq 120)=\sum_{x=0}^{120}^{125}C_x(0.90)^x(0.10)^{125-x}=0.9961

(b) What is the probability that the flight departs with empty seats?

P(X\leq 119)=\sum _{x=0}^{119}^{125}C_x(0.90)^x)(0.10)^{125-x}=0.9886

Hence, a) 0.9961, b) 0.9886

3 0
3 years ago
over the weekend, Brady and Jake drove to Key West go scuba diving. Now they're preparing to go home.Brady needs gas for his jee
velikii [3]
His car gets 21 mpg (miles per gallon). With 1 gallon he can drive 21 miles. For example, with 10 gallons, he can drive 21 mpg * 10 gal = 210 miles.

He bought $19.50 worth of gas at $1.40 per gallon.
$19.50 / ($1.40/gal) = 13.93 gal

He already had 5 gal of gas in his tanks, so now he has
5 gal + 13.93 gal = 18.93 gal

With 18.93 gal, he can drive
18.93 gal * 21 mpg = 292.5 miles

3 0
3 years ago
Is -42-10=-52 open, true or false ?
pantera1 [17]
I think the answer is True
8 0
3 years ago
Read 2 more answers
I need help with linear regression ​
frutty [35]

Answer:

<em>In statistics, linear regression is a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables). The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.</em>

6 0
3 years ago
Explain how you got the answer please
kykrilka [37]
-2x + 12 = 2y

Add 2x on both sides,

12 = 2y + 2x

Divide by 2 on both sides,

6 = y + x -> x + y = 6

The answer is D.
4 0
3 years ago
Read 2 more answers
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