All categories

3 years ago

Help pls i need this today :> !!!

Mathematics

2 answers:

JulsSmile [24]3 years ago

8 0

The answer the the question is c

Charra [1.4K]3 years ago

8 0

Answer:

c is the correct one

Step-by-step explanation:

6/8 = 0.75 > 4/8 = 0.5

You might be interested in

Which statement is not supported by the information in the table?

Kitty [74]

A. More than one half of Maria's monthly income is spent on rent

Reason being her income is 2,000. Her rent is only 900, which is less than half of 2,000, which is 1,000.

7 0

4 years ago

Which is an equation for the line with a slope of 1/3, and passes through<br> the point (–2, 1)?

worty [1.4K]

Answer:

y = (1/3)x +5/3

Step-by-step explanation:

The general equation of a line is

y = mx+b

where m is the slope and b the y-intercept

Since the slope is 1/3 we have

y = (1/3)x +b

since the line passes through (x,y) = (-2,1) this point satisfies the equation

1 = (1/3)(-2) + b ===> b = 1+2/3 ===> b = 5/3

and the equation of the line is

y = (1/3)x +5/3

8 0

3 years ago

A brewery produces cans of beer that are supposed to contain exactly 12 ounces. But owing to the inevitable variation in the fil

MArishka [77]

Answer:

$T \sim N (\mu = 6*12=72 , \sigma= \sqrt{6} *0.3=0.735)$

$P(T \leq 72) = P(Z< \frac{72-72}{0.735}) = P(Z$

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 Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".

Solutio to the problem

Let X the random variable that represent the amount of beer in each can of a population, and for this case we know the distribution for X is given by:

$X \sim N(12,0.3)$

Where $\mu=12$ and $\sigma=0.3$

For this case we select 6 cans and we are interested in the probability that the total would be less or equal than 72 ounces. So we need to find a distribution for the total.

The definition of sample mean is given by:

$\bar X = \frac{\sum_{i=1}^n X_i}{n} = \frac{T}{n}$