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Kryger [21]
3 years ago
9

Mrs. Van Sant is using 1 scoop of lemonade mix for every 2 liters of water to make some lemonade. She is having a party and want

s to make 12 liters of lemonade. How much lemonade mix should she use?
Mathematics
2 answers:
oee [108]3 years ago
5 0
6 scoops of lemonade mix
vichka [17]3 years ago
5 0
It would be six (6) litres
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The average cholesterol content of a certain brand of eggs is 215 milligrams, and the standard deviation is 15 milligrams. Assum
Vaselesa [24]

Answer:

"The probability that the egg will be with cholesterol content greater than 220 milligrams" is 0.37070 (37.070% or simply 37%)

Step-by-step explanation:

We have here a <em>normally distributed random variable</em>. The parameters that characterize this distribution is the <em>mean</em>, \\ \mu, and the <em>standard deviation</em>, \\ \sigma.

In this question, we have that:

  • \\ \mu = 215 milligrams.
  • \\ \sigma = 15 milligrams.

And we want to know the probability that a randomly selected single egg "will be with cholesterol content greater than 220 milligrams."

To answer the latter, we need to use the following key concepts:

  • Z-scores.
  • The cumulative standard normal distribution, and
  • The [cumulative] standard normal table.

The <em>z-scores</em> are standardized values and represent the distance (for the raw score) from the mean in standard deviations units. A <em>positive</em> z-score indicates that it is <em>above</em> \\ \mu and, conversely, a negative result that the value is <em>below</em> it.

The <em>cumulative distribution function</em> generates the values for the <em>cumulative standard normal distribution</em> displayed in the <em>standard normal table</em>.

The <em>standard normal distribution</em> is employed to find probabilities for any normally distributed data and we only need to calculate the corresponding z-score (or standardized value). This distribution has a \\ \mu = 0 and \\ \sigma = 1.

As we can see, all of these concepts are intertwined, and each of them is important because:

  1. To find the corresponding probability, we first need to obtain the <em>z-score</em>.
  2. After this, we can consult the <em>standard normal table</em>, whose values are tabulated from the <em>cumulative standard normal distribution</em>, to find the requested probability.

Finding the probability

We can get the<em> z-score</em> using the formula:

\\ z = \frac{x - \mu}{\sigma} [1]

Where <em>x</em> is the raw value we want to standardize using the previous formula, and, in this case is 220 milligrams, \\ x = 220 milligrams.

Thus (without using units):

\\ z = \frac{x - \mu}{\sigma}

\\ z = \frac{220 - 215}{15}

\\ z = \frac{5}{15}

\\ z = \frac{5}{5} * \frac{1}{3}

\\ z = 1 * \frac{1}{3}

\\ z = 0.3333333...

To consult the <em>standard normal table</em>, we only need \\ z = 0.33, because it only has values for two decimal digits. As a result, the value will be a little inexact (but near to the true value) compared to that obtained using statistical software (or maybe a more precise table).

With this value (which is positive and, therefore, above the mean), we need to carefully see the first column of the mentioned table to find z = 0.3. Then, in the first row, we only need to select that column for which we can add the next digit, in this case, 3 (it appears as +0.03). That is, we are finding the probability for \\ z = 0.33.

Then, the <em>cumulative probability</em> for \\ z = 0.33 is:

\\ P(x

However, the question is asking for "cholesterol content greater than 220 milligrams" or

\\ P(x>220) = P(z>0.33)

Since

\\ P(x220) = 1

Which is the same for a standardized value:

\\ P(z0.33) = 1

Then

\\ P(z>0.33) = 1 - P(z

Therefore

\\ P(x>220) = P(z>0.33) = 1 - P(z

\\ P(x>220) = 1 - P(z

\\ P(x>220) = 1 - 0.62930

\\ P(x>220) = 0.37070

Thus, "the probability that the egg will be with cholesterol content greater than 220 milligrams" is 0.37070 (37.070% or simply 37%).

The graph below shows a shaded area that corresponds to the found probability.  

6 0
3 years ago
14) Marty weighs 64
Blababa [14]

Answer:

Nathan weighs 12 more pounds than Marty.

Step-by-step explanation:

If Marty weighs 64 pounds and Nathan weighs 76 pounds, we can subtract the weight of Marty from Nathan to get our answer.

76-64=12

In case Nathan was actually 476 pounds, the answer would be 412.

6 0
3 years ago
Assume the speed of vehicles along a stretch of I-10 has an approximately normal distribution with a mean of 81 mph and a standa
Pachacha [2.7K]

Answer:

Step-by-step explanation:

Hello!

The variable of interest is

X: speed of a vehicle along a stretch of I-10 (mph)

This variable has a normal distribution with mean μ= 81 mph and a standard deviation σ= 8 mph.

The speed limit in the said stretch is 65 mph.

You need to calculate the probability of picking a car at random and its speed be at most 65 mph, symbolically:

P(X≤65)

To reach the probability, you need to use the standard normal distribution. To standardize the value fo X you have to subtract the value of μ and then divide it by σ:

P(Z≤(65-81)/8)= P(Z≤-2.00)

Now you look for the corresponding probability in the table of the standard normal distribution, since the value is negative you have to use the left entry. The integer and first decimal numbers are in the first column and the second decimal number is in the first row.

P(Z≤-2.00)= 0.0228

I hope it helps!

3 0
3 years ago
Four adult alligators weigh 1,812 kilograms. If each alligator weighs the same, how many kilograms does one alligator weigh?
yarga [219]
Each alligator would weigh 453 kilograms. I got this answer by taking 1812 and dividing it by 4 to get my answer. Hope this helps! :D
3 0
3 years ago
7 Tom claims that the system of equations at the right has
olganol [36]
If you could provide a picture of the graph that would be very helpful
4 0
3 years ago
Read 2 more answers
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