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myrzilka [38]
4 years ago
6

NEED CORRECT ANSWER WILL GIVE BRAINLIEST

Mathematics
2 answers:
Lady bird [3.3K]4 years ago
7 0

it is B anerobic cellular respiration :)

Tems11 [23]4 years ago
6 0
Your answer is B. hope this helps
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(-3,4); y=2 Write an equation of the line that passes through the given point and is parallel to the graph of the given equation
Sedbober [7]

2x+4

mx+b

m-slope=2

x=x

b-y intercept=4

THIS MAY NOT BE RIGHT, BC I COULD NOT SEE THE GRAPH!!

4 0
4 years ago
Plz help im bad at math
ikadub [295]

Answer:

y = 1

Step-by-step explanation:

4 0
3 years ago
251-92 is the same as _ - 100
nexus9112 [7]

Answer:

259

Step-by-step explanation:

You could set up an equation that looks like:

251-92=x-100

Then solve for x

1. subtract 92 from 251

159=x-100

2. add 100 to both sides

259=x

6 0
3 years ago
The distribution of actual weights of 8-ounce wedges of cheddar cheese produced at a dairy is Normal with mean 8.1 ounces and st
Sonja [21]

Answer:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

\bar X \sim N(\mu=8.1, \frac{0.2}{\sqrt{10}}=0.063)

approximately Normal, mean 8.1, standard deviation 0.063.

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

Let X the random variable weights of 8-ounce wedges of cheddar cheese produced at a dairy. We know from the problem that the distribution for the random variable X is given by:

X\sim N(\mu =8.1,\sigma =0.2)

We take a sample of n=10 . That represent the sample size.

What can we say about the shape of the distribution of the sample mean?

From the central limit theorem we know that the distribution for the sample mean \bar X is also normal and is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

\bar X \sim N(\mu=8.1, \frac{0.2}{\sqrt{10}}=0.063)

approximately Normal, mean 8.1, standard deviation 0.063.

3 0
4 years ago
Please hurry!!!!!!!!!!!!!!!!!!!!
mr Goodwill [35]

Answer:9+(7n-3)

Step-by-step explanation: and when n=8, the value of the expression is 62.

6 0
3 years ago
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