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2 years ago

I WILL GIVE THE BRAINLIEST TO WHOEVER CAN SOLVE THIS RIGHT NOW!!

1 answer:

4 0

The two coordinate pairs for the locations of the other two corners are shaped in rectangle. Two diagonally oposite corners of the park are located ( - 6, 3) and (3, 4)

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What math terms is -3 categories in

oksian1 [2.3K]

Idek i need points man

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3 years ago

Identify the independent and dependent variables in the following situation Julie notices that her plant grows one inch for ever

LUCKY_DIMON [66]

Answer:

Independent variable: amount of water

Dependent variable: growth of the plant

Step-by-step explanation:

In the statement "Julie notices that her plant grows one inch for every liter of water that it receives" it is implied that the growth of the plant is related proportionally to the amount of water it receives.

We know the amount of growth in function of the amount of water

The dependant variable, the result, is the growth of the plant.

Then, the independent variable is the amount of water, as it is the input to calculate the amount of growth.

4 0

3 years ago

Solve the equation: sin(2x)= sin x

Anna [14]

Answer:

Below

Step-by-step explanation:

sin(2x) = 2 ×cos(x)× sin(x)

● sin(x) = 2 × cos(x) × sin(x)

● 2 × cos(x) = 1

● cos (x) = 1/2

So we can deduce that:

● x = Pi/3 + 2*k*Pi

● or x = -Pi/3 + 2*k*Pi

K is an integer

3 0

3 years ago

A guidance counselor is studying test anxiety in freshman students. A random sample of 972 high school freshmen finds that 219 o

ArbitrLikvidat [17]

Answer:

The answer is B.

7 0

3 years ago

Read 2 more answers

Suppose that the sitting back-to-knee length for a group of adults has a normal distribution with a mean of mu equals 24.4 in.

solong [7]

Answer:

$P(X \geq 26.6) = 0.0336$ , which is greater than 0.01. So a back-to-knee length of 26.6 in. is not significantly high.

Step-by-step explanation:

Problems of normally distributed samples are 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.

In this problem, we have that:

$\mu = 24.4, \sigma = 1.2$