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fgiga [73]
3 years ago
15

Need help with this lesson is Graphing Polynomials

Mathematics
1 answer:
ehidna [41]3 years ago
6 0

Answer:

Step-by-step explanation:

y = \sqrt{x+4} + 5

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Which set of data is skewed most to the right?
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Answer:

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Step-by-step explanation:

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Answer:

I may be wrong

Step-by-step explanation:

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The boxplot shown below results from the heights​ (cm) of males listed in a data set. What do the numbers in that boxplot tell​
Volgvan

Answer:

  • The minimum height is 154 cm
  • The first quartile Q1 is 168.8 cm
  • The second quartile Q2 ​(or the​ median) is 171.9 cm
  • Q3 is 183.9 ​cm
  • the maximum height is 193 cm

Step-by-step explanation:

Box plot allows to identify minimum point, maximum point, Q1, Q3 and the median.

See the below (attached) image for the locations of the minimum point, maximum point, Q1, Q3 and the median.

3 0
4 years ago
Assume that 8​% of people are​ left-handed. We select 6 people at random. ​a) How many lefties do you​ expect? ​b) With what sta
klemol [59]

Answer:

a) 0.48

b) 0.6645

c) 12.5

Step-by-step explanation:

For each person, there are only two possible outcomes. Either they are left-handed, or they are not. The probabilities of each person being left-handed are independent. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

The number of trials expected to find r sucesses is given by

N = \frac{r}{p}

In this problem we have that:

Assume that 8​% of people are​ left-handed. We select 6 people at random. ​

This means that p = 0.08, n = 6

a) How many lefties do you​ expect?

E(X) = np = 6*0.08 = 0.48

​b) With what standard​ deviation?

\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{6*0.08*0.92} = 0.6645

​c) If we keep picking people until we find a​ lefty, how long do you expect it will​ take?

Number of trials to find 1 success. So

N = \frac{r}{p} = \frac{1}{0.08} = 12.5

4 0
3 years ago
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