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Mila [183]
2 years ago
7

PLEASE HELP

Mathematics
1 answer:
Elenna [48]2 years ago
6 0
C-400 is the answer !!
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Please help, Brainliest, thanks and five star
igomit [66]

Answer:

I think the answer is the fourth one

Step-by-step explanation:

6 0
2 years ago
Hitomi has a total of 30 red and blue bowling balls at her bowling alley. Each red ball weighs 8 lbs. Each blue ball weighs 9 lb
sergejj [24]

Answer:

5 balls

Step-by-step explanation:

7 0
2 years ago
The age at which small breed dogs are fully housebroken follows a Normal distribution with mean ms = 6 months and standard devia
atroni [7]

Answer:

This measure is just 0.17 standard deviations from the mean, so we should not be surprised.

Step-by-step explanation:

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

If the z-score is lower than -2, or higher than 2.5, the score of X is considered unusual.

Subtraction of normal variables:

When we subtract normal variables, the mean is the subtraction of the means, while the standard deviation is the square root of the sum of the variances.

Let xS – xL represent the sampling distribution.

Mean s 6, means L 4. So

\mu = 6 - 4 = 2

Standard deviation s is 2.5, for L is 1.5. So

\sigma = \sqrt{2.5^2+1.5^2} = 2.915

Should we be surprised if the sample mean housebroken age for the small breed dogs is at least 2.5 months more than the sample mean housebroken age for the large breed dogs? Explain your answer.

We have to find the z-score for X = 2.5. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{2.5 - 2}{2.915}

Z = 0.17

This measure is just 0.17 standard deviations from the mean, so we should not be surprised.

7 0
2 years ago
A used car lot sold 15 SUVs last month, along with 80 other vehicles. Considering this
sergiy2304 [10]

Answer:

12

Step-by-step explanation:

First, find the total number of vehicles sold.

15 SUVs were sold, and 80 others were sold

15+80

95

So, 95 vehicles were sold in total.

Now we can make a proportion

15 out of 95 vehicles were SUVs, and we can expect x out of 76 vehicles to be SUVs

15/95=x/76

Cross multiply

95*x=15*76

95x=1140

To solve for x, we need to get x by itself. Since x is being multiplied by 95, divide both sides by 95. This will cancel out the 95, and leave x isolated.

95x/95=1140/95

x=12

So, 12 out 76 vehicles should be SUVs

7 0
3 years ago
I need help right now!! Please explain how to solve the question and make sure u know the answer thank you.
Alborosie

Answer:

A dilation factor by 1/2

Step-by-step explanation:

Find the distance of AB and BC which is 4 for each of them. A'B' and B'C' distance is 2. 4 * 1/2 = 2. Therefore the answer must be 1/2.

3 0
3 years ago
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