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Sergeu [11.5K]
3 years ago
12

Find the equation of the line

Mathematics
1 answer:
scoray [572]3 years ago
7 0

Answer:

please I can't see any question

but the equation of a line is

y- y1 =m(x-x1)

where m is the the gradient of the line

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Please help i will mark branliest and rank up
Igoryamba

Answer:

C 2 and 7 are interior angles

Step-by-step explanation:

Alternate Interior Angles are a pair of angles on the inner side of each of those two lines but on opposite sides of the transversal.

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1. Jovi and Amillia are playing a game using the spinner below. Jovi will win the game on his next spin if the arrow lands on a
Lubov Fominskaja [6]

For question number one, Jovi WILL most likely win.

Hope this helps.

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Zaria wants you to solve this puzzle: “I am thinking of a number.
pshichka [43]

Answer:

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Step-by-step explanation:

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2 years ago
A trail around a lake is 4 1/4 miles long. What is the length, in feet, of the trail?
Allisa [31]
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1/5280= 4.25/x This is a proportion. 
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7 0
3 years ago
Read 2 more answers
g 78% of all Millennials drink Starbucks coffee at least once a week. Suppose a random sample of 50 Millennials will be selected
Tatiana [17]

Answer:

We know that n = 50 and p =0.78.

We need to check the conditions in order to use the normal approximation.

np=50*0.78=39  \geq 10

n(1-p)=50*(1-0.78)=11 \geq 10

Since both conditions are satisfied we can use the normal approximation and the distribution for the proportion is given by:

p \sim N (p, \sqrt{\frac{p(1-p)}{n}})

With the following parameters:

\mu_ p = 0.78

\sigma_p = \sqrt{\frac{0.78*(1-0.78)}{50}}= 0.0586

Step-by-step explanation:

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

We know that n = 50 and p =0.78.

We need to check the conditions in order to use the normal approximation.

np=50*0.78=39  \geq 10

n(1-p)=50*(1-0.78)=11 \geq 10

Since both conditions are satisfied we can use the normal approximation and the distribution for the proportion is given by:

p \sim N (p, \sqrt{\frac{p(1-p)}{n}})

With the following parameters:

\mu_ p = 0.78

\sigma_p = \sqrt{\frac{0.78*(1-0.78)}{50}}= 0.0586

6 0
3 years ago
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