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sukhopar [10]
2 years ago
10

Which dilations result in an image that is smaller then the pre image? Select all that apply giving brainiest

Mathematics
2 answers:
torisob [31]2 years ago
7 0

Answer:

what does the pre image look like

Step-by-step explanation:

AURORKA [14]2 years ago
7 0
I don’t understand how does it look
You might be interested in
A student earns $11.75 per hour of gardening. if the student worked 21 hours a month then how much did they earn?
natta225 [31]

Answer: The student will earn $246.75 for gardening this month.


Hope this helps!


6 0
2 years ago
Read 2 more answers
Suppose the weights of Farmer Carl's potatoes are normally distributed with a mean of 8.0 ounces and a standard deviation of 1.1
svet-max [94.6K]

Answer:

a) 0.9959 = 99.59% probability that the mean weight is less than 9.3 ounces

b) 0.0129 = 1.29% probability that the mean weight is more than 9.0 ounces

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 8.0 ounces and a standard deviation of 1.1 ounces.

This means that \mu = 8, \sigma = 1.1

(a) If 5 potatoes are randomly selected, find the probability that the mean weight is less than 9.3 ounces?

n = 5 means that s = \frac{1.1}{\sqrt{5}} = 0.4919

This probability is the pvalue of Z when X = 9.3. So

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

By the Central Limit Theorem

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

Z = \frac{9.3 - 8}{0.4919}

Z = 2.64

Z = 2.64 has a pvalue of 0.9959

0.9959 = 99.59% probability that the mean weight is less than 9.3 ounces

(b) If 6 potatoes are randomly selected, find the probability that the mean weight is more than 9.0 ounces?

n = 6 means that s = \frac{1.1}{\sqrt{6}} = 0.4491

This probability is 1 subtracted by the pvalue of Z when X = 9. So

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

Z = \frac{9 - 8}{0.4491}

Z = 2.23

Z = 2.23 has a pvalue of 0.9871

1 - 0.9871 = 0.0129

0.0129 = 1.29% probability that the mean weight is more than 9.0 ounces

8 0
3 years ago
Can someone please help me on this one?
diamong [38]
Add the three angles and set them to 180
4x-13+15+x+18=180
5x+20=180
5x=160
x=32

Then plug in to get A and C
A=4*32-13 
A=115

C=32+18
C=50
4 0
3 years ago
Which of the following values of r will result in a true statement when substituted into the given equation? -r + 5(r + 2) = -10
kramer

Answer:

Choice B is correct.

Explanation:

The given equation is -r+5(r+2)=-10

Put r=-5 into the above equation

-(-5)+5(-5+2)=-10

5+5(-3)=-10

5-15=-10

-10=-10

Right and left side of above equation is equal by putting r=-5 so it is true statement.

6 0
3 years ago
Read 2 more answers
The measures of the angles of a triangle are 55°, 25, and 100°. What is the measure of the largest exterior angle
Over [174]

Answer:

155answer.

Step-by-step explanation:

25 is 80 and thaths why its 157

8 0
2 years ago
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