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jarptica [38.1K]
3 years ago
15

Use the Remainder Theorem to find the remainder for (4x^3+4x^2+2x+3)/(x-1) and state whether or not the binomial is a factor of

the polynomial.
Mathematics
2 answers:
Gnesinka [82]3 years ago
5 0

Answer:

The remainder = 13.

Step-by-step explanation:

By the Remainder Theorem the remainder when the function is divided by

x - 1 is f(1).

f(1) = 4(1)^3 + 4(1)^2 + 2(1) + 3

=  4 + 4 + 2 + 3

= 13.

So x - 1 is not a factor of f(x).

If it was a factor the remainder would be 0.

Alla [95]3 years ago
3 0
The remainder theorem states that when a polynomial is divided by a binomial, the value that makes the binomial equal 0 can be substituted into the polynomial to obtain the remainder.

In other words, we can plug in 1 into the polynomial, as (1 - 1) = 0

4(1)^3 + 4(1)^2 + 2(1) + 3 =

4 + 4 + 2 + 3 = 13

As the polynomial equals 13, the remainder when the polynomial is divided is 13/(x -1), so it’s NOT a factor of the polynomial.

If the remainder were 0, then (x - 1) WOULD be a factor of the polynomial, but it’s not.

To sum it up, the remainder is 13/(x - 1), and the binomial is NOT a factor of the polynomial.
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Explanation:

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<u>Converting it to slope intercept form</u>:

y = mx + b  [where m is slope, b is y-intercept]

<u>Make y the subject</u>:

\sf \rightarrow  3y = 2 - x

\sf \rightarrow 3y = -x + 2

\sf \rightarrow y = -\dfrac{x}{3} + \dfrac{2}{3}

\sf \rightarrow y = -\dfrac{1}{3} x+ \dfrac{2}{3}

<u>which reveals slope</u>:

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7 0
1 year ago
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The service department of a luxury car dealership conducted research on the amount of time its service technicians spend on each
mart [117]

Answer:

Probability that the mean service time is between 1 and 2 hours is 0.96764.

Step-by-step explanation:

We are given that a systematic random sample of 100 service appointments has been collected.

The 100 appointments showed an average preparation time of 90 minutes with a standard deviation of 140 minutes.

<u><em>Let </em></u>\bar X<u><em> = sample mean service time</em></u>

The z-score probability distribution for sample mean is given by;

                             Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, \mu = average preparation time = 90 minutes

           \sigma = standard deviation = 140 minutes

           n = sample of appointments = 100

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

Now, probability that the mean service time is between 60 and 120 minutes is given by = P(60 minutes < \bar X < 120 minutes)

P(60 minutes < \bar X < 120 minutes) = P(\bar X < 120 min) - P(\bar X \leq 60 min)  

  P(\bar X < 120 min) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{120-90}{\frac{140}{\sqrt{100} } } ) = P(Z < 2.14) = 0.98382

  P(\bar X \leq 60 min) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } \leq \frac{60-90}{\frac{140}{\sqrt{100} } } ) = P(Z \leq -2.14) = 1 - P(Z < 2.14)

                                                        = 1 - 0.98382 = 0.01618

<em>The above probability is calculated by looking at the value of x = 2.14 in the z table which has an area of 0.98382.</em>

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Answer:

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1.- Test hypothesis:

Null hypothesis  H₀                   P = P₀

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z(s)  =  - 0,8928

4.-We compare  z(s)  and  z(c)

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sattari [20]
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