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3 years ago

Help please? i don't know what to do if the base is X

Mathematics

1 answer:

Scilla [17]3 years ago

4 0

Answer:

area = x^2 - 4x

Step-by-step explanation:

a = x(x-4)

a = x^2 - 4x (x times x is x^2, x times -4 is -4x)

You might be interested in

A) Complete the table of values for y = 6 - 2x

GREYUIT [131]

Step-by-step explanation:

the answer as shown in the photo

3 0

2 years ago

I NEED HELP THIS IS LATE

slamgirl [31]

Answer:

M=-10

Step-by-step explanation:

To find the sope we use y-y1/x-x1. For this problem, I chose the first two coordinates.

(-33.5)-(-55.6)/1.20-3.45=22.6/-2.25=-10(rounded)

hope this helps!:)

6 0

3 years ago

Angles that share a vertex, but not a side are called

djyliett [7]

Adjacent angles-
2 angles that share a common vertex, a common side and no common interior points.

The answer is ADJACENT ANGLE

7 0

4 years ago

Can someone help me with this problem?

coldgirl [10]

Answer:

147

Step-by-step explanation:

add the 2 sides together 19+14=33 then take 33 and subtract from 180. bc thats the rule btw. So 180-33= 147 hope this helps :))

5 0

3 years ago

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 $s = \frac{\sigma}{\sqrt{n}}$ .