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NeX [460]
3 years ago
12

Score: 0 of 1 pt

Mathematics
1 answer:
cupoosta [38]3 years ago
5 0

Answer:

70

Step-by-step explanation:

21/.3

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Tell whether the table of values represents a linear function, an exponential function, or a quadratic funtion
gizmo_the_mogwai [7]

Answer:

Step-by-step explanation:

if it is linear then it will be a straight line(gradient is the same)

if quadratic then curve(gradeint isnt the same)

y=mx+c

m=[y(2)-y(1)]/[x(2)-x(1)]

you can choose any 2 points from the table

m=2-0.4/0-1

m=-1.6

repeat but 2 different coordinates

m=0.4-0.08/-1--2==>-2.24

m=-2.24

different coordinate therefore quadratic

cant be exponential, because nothing is being raised to some power

5 0
2 years ago
You are a financial advisor whose client is concerned about losing his investment if a company goes out of business. Which of th
34kurt

Answer:

You should advise him to buy preferred stock.

Step-by-step explanation:


7 0
3 years ago
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HELP ASAPPPP!!!BRAINLEST WILL BE GIVEN!!! ​
liraira [26]

Answer:

30 days

Step-by-step explanation:

The common multiples of 15 and 6 are 30, 60, 90 etc and because it increases by 30 each time we can find out that he will play both football and basketball together in thirty days!

8 0
3 years ago
Suppose you take an SRS of size 1000 of Connecticut students eligible to take the SAT and find that 85% plan to take the SAT dur
nadezda [96]

Answer:

\mu_{p}=p=0.81

Step-by-step explanation:

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The population proportion have the following distribution

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

So under the null hypothesis the mean for the population proportion is p

\mu_{p}=p=0.81

And the standard deviationis given by:

\sigma_{p}=\sqrt{\frac{p_0(1-p_o)}{n}}=\sqrt{\frac{0.81(1-0.81)}{1000}}=0.0124

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I don’t know sorry! ⚠️⚠️ but I hope that you can find the answer
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