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AlekseyPX
4 years ago
14

Use the points H(-4,3) and K (4,3)

Mathematics
2 answers:
Katyanochek1 [597]4 years ago
6 0
Y=3 can you be specific like the midpoint or ...
Dmitriy789 [7]4 years ago
3 0
The midpoint is (0,3)
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Please help! I'd greatly appreciate it!
emmasim [6.3K]

Answer:

[-4,2] or -4 \leq x \leq 2

Step-by-step explanation:

Range is the range of the y-axis.

Although we see that the "line" ends at a specific point, it is neither the highest or lowest y-value.

Our lowest y value is -4, and because it is a line, it is not an open dot resulting in a [, instead of a (.

This same thing happens with highest y-value which happens to be 2.

This is interval notation.

Due to your question, you may be asking for this:

-4 \leq x \leq 2

4 0
3 years ago
Assume that females have pulse rates that are normally distributed with a mean of beats per minute and a standard deviation of b
snow_tiger [21]

Answer:

a) This is the p-value of Z when X = A subtracted by the p-value of Z when X = B.

b) P-value of Z when X = 76 subtracted by the p-value of X = 68.

c) Because the underlying distribution(pulse rates of females) is normal.

Step-by-step explanation:

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 z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes 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.

In this question:

Mean \mu, standard deviation \sigma.

standard deviation of beats per minute.

a. If 1 adult female is randomly​ selected, find the probability that her pulse rate is between A beats per minute and B beats per minute.

This is the p-value of Z when X = A subtracted by the p-value of Z when X = B.

b. If 4 adult females are selected, find the probability that they have pulse rates with a mean between 68 beats per minute and 76 beats per minute.

Sample of 4 means that we have n = 4, s = \frac{\sigma}{\sqrt{4}} = 0.5\sigma

The formula for the z-score is:

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

Z = \frac{X - \mu}{0.5\sigma}

Z = 2\frac{X - \mu}{\sigma}

This probability is the p-value of Z when X = 76 subtracted by the p-value of X = 68.

c. Why can the normal distribution be used in heartbeat even the sample side does not exceed 30?

Because the underlying distribution(pulse rates of females) is normal.

3 0
3 years ago
Statements
lbvjy [14]

Answer:

statement are always true

3 0
3 years ago
Mathematics Help Please!!
Fantom [35]
Https://us-static.z-dn.net/files/da0/898a932883d3d078dd059fa2a97c67a7.jpeg

8 0
4 years ago
Read 2 more answers
Older Orchards need more hives per acre Caleb has decided to place 6 hives for every 2 acres on an older peach orchard Zeke one
elixir [45]
Zeneca did not follow the directions. In order to follow Caleb's directions, Zelda would need to bring in 6 hives for every 2 acres of peaches.

If there are 30 acres, this means he would 15 groups of 6 hives (90 hives). He only brought 10.

Please see picture for work.

8 0
3 years ago
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