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Rudik [331]
3 years ago
12

The point p and all points to the left and right of P ​

Mathematics
1 answer:
ArbitrLikvidat [17]3 years ago
6 0

Answer:

ifyiohdihw5;goish;5iyhw;lij5yp'owk5yjw6iyjhge5g.liejh.lijs4l5yjwe4il5jywo4j5

Step-by-step explanation:

;orihwuklh5tijw/i6yji5yjitkyn5kkt;elfojyjhk;tmghl

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Can predictions be made of a scatterplot that shows no association? explain your answer.
hichkok12 [17]
<span>No, you can't make a prediction from a scatter plot that doesn't show any associations. There have to be associations in order to form a trend. If there is no trend, there is no way to make a prediction. A scatter plot is similar to a line graph where you can mark the appropriate data points in order to see if a trend is developing.</span>
3 0
3 years ago
Read 2 more answers
Points (-1,2), (-4,7), (-3,1), (-2,4) lie in ______ quadrant
dalvyx [7]

Answer:

they lie in 2nd quadrant

hope it helps

5 0
3 years ago
24kids will attend next week’s field trip. If 5 kids can fit each car. How many cars will be needed?
Kipish [7]

Answer:

The answer is 5.......

Step-by-step explanation:

5x5=25

3 0
3 years ago
Read 2 more answers
What is the z-score of a newborn who weighs 4,000 g?.
vagabundo [1.1K]

The z-score of the considered newborn having 4,000 g weight is \dfrac{4000 - \mu}{\sigma}

<h3>How to get the z scores?</h3>

If we've got a normal distribution, then we can convert it to standard normal distribution and its values will give us the z score.

If we have

X \sim N(\mu, \sigma)

(X is following normal distribution with mean \mu and standard deviation  \sigma)

then it can be converted to standard normal distribution as

Z = \dfrac{X - \mu}{\sigma}, \\\\Z \sim N(0,1)

(Know the fact that in continuous distribution, probability of a single point is 0, so we can write

P(Z \leq z) = P(Z < z) )

Also, know that if we look for Z = z in z tables, the p value we get is

P(Z \leq z) = \rm p \: value

For the considered case, the statement in the problem is missing the mean weight of the newborn and standard deviation of the data set of weights of newborn.

Thus, for them, we can consider variables in place of their actual values.

Let we have:

  • X = weights of newborns for some considered system (in grams)
  • \mu = mean weight of newborns (in grams)
  • \sigma = standard deviation of the data set of weights of newborns

Then, the z-score for X = 4000 is

z = \dfrac{x - \mu}{\sigma} = \dfrac{4000 - \mu}{\sigma}

Thus, the z-score of the considered newborn having 4,000 g weight is \dfrac{4000 - \mu}{\sigma}

Learn more about z-scores here:

brainly.com/question/13299273

3 0
2 years ago
write an equation in point slope form for the line that has a slope of 9/4 and contains the point (3,-4)
denis-greek [22]

Answer:

y+4 = 9/4(x-3)

Step-by-step explanation:

The point slope form of an equation is

y-y1 = m(x-x1) where m is the slope and (x1,y1) is the point

Substituting in what we know

y--4 = 9/4(x-3)

y+4 = 9/4(x-3)

4 0
3 years ago
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