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tangare [24]
3 years ago
8

Given the polynomial 6x3 + 4x2 − 6x − 4, what is the value of the coefficient 'k' in the factored form? 6x3 + 4x2 − 6x − 4 = 2(x

+ k)(x − k)(3x + 2) k= ____________ Numerical Answers Expected! Answer for Blank 1:
Mathematics
1 answer:
anastassius [24]3 years ago
5 0

6x^3+4x^2-6x-4 =\\ 2(3x^3+2x^2-3x-2) =\\ 2(x^2(3x+2)-1(3x+2))=\\ 2(x^2-1)(3x+2)=2(x+1)(x-1)(3x+2).

So k=1.

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Marysya12 [62]
\text {Total cards = 160}

\text {Cards gave to Maddy = }  \dfrac{4}{10}  \times 160 = 64


\text {Cards left = } 160 - 64 = 96



------------------------------------
Answer: Cards left = 96 
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4 0
3 years ago
If 15 mi = 8 km, about how many miles would be equal to 50 km?
Anon25 [30]
Use ratios to solve

15 m/8 km = x m/50 km Cross multiply
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For the sample standard deviation(s) for situations involving means, explain whether it affects the width of a confidence interv
Lisa [10]

Answer:

Affects the width of a confidence interval, as the margin of error is a function of the sample standard deviation.

Step-by-step explanation:

When we have the standard deviation for the sample, the t-distribution is used to solve the question.

It does not affect the center of the interval, which is a function only of the sample mean.

Width of a confidence interval:

The width of a confidence interval is a function of the margin of error, which is:

M = t\frac{s}{\sqrt{n}}

In which s is related to the sample standard deviation. Thus, since s and M are directly proportional, a higher standard deviation makes the interval wider, lower standard deviation makes the interval narrower, and thus, the sample standard deviation affects the the width of a confidence interval.

6 0
3 years ago
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Answer:

Trisha has two boxes of marbles than

to find probability

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6 0
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Read 2 more answers
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A common misconception in statistics is confusing correlation with causation. If two events are correlated, it merely means that they share the same behaviour over time, but it doesn't imply in any way that those event are related by a common cause, or even worse, that one implies the other.

You can find several (even humorous) counter examples online. For example, if you plot the number of reported pirates assault against the global temperature in the last years, you'll se that temperature is rising (unfortunately...) while pirates are almost disappearing.

One could observe this strong negative correlation and claim that hotter climate has solved the pirate issue. Of course this is a joke, but it explains why you shouldn't confuse correlation with causation.

7 0
3 years ago
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