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antoniya [11.8K]
1 year ago
6

What is the remainder in the synthetic division problem below?

Mathematics
2 answers:
arlik [135]1 year ago
4 0

Answer: The correct option is A, the remainder is 7.

Explanation:

The coefficient of terms in the given synthetic division are 4,6 an -3.

Write the first coefficient as it is in bottom line.

Now multiply 1 by 4 and write the result (i.e., 4) in middle line below the second coefficient.

Now add 6 and 4 and write the result (i.e., 10 ) in bottom row.

Now multiply 1 by 10 and write the result (i.e., 10) in middle line below the third coefficient.

Now add -3 and 10 and write the result (i.e., 7 ) in bottom row.

Now the first two terms shows the coefficient of polynomial and last term show the remainder.

Since the last term is 7 therefore, the remainder is 7.

Musya8 [376]1 year ago
3 0

1 I  4    6    -3
   I        4     10
    ---------------------
      4    10   7
the remainder is 7.

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Answer:

a. The alternative hypothesis H₀: p'₁ ≠ p'₂ is accepted

b. Type I error

Step-by-step explanation:

Proportion of California residents who reported insufficient rest = 8.0%

Proportion of Oregon  residents who reported insufficient rest = 8.8%

p'₁ = 0.08 * 11545 =923.6

p'₂ = 0.088 * 4691=412.81

σ₁ = \sqrt{n*p_1*q_1}  = \sqrt{n*p_1*(1-p_1)} = \sqrt{11545*0.08*(1-0.08)} = 29.15

σ₂ = \sqrt{n*p_2*q_2}  = \sqrt{n*p_2*(1-p_2)}= \sqrt{4691*0.088*(1-0.088)} = 19.40

Samples size of California residents n₁ = 11,545

Samples size of Oregon residents n₂ = 4,691

Hypothesis can be constructed thus

Let our null hypothesis be H ₀: p'₁ = p'₂

and alternative hypothesis H ₐ: p'₁ ≠ p'₂

Then we have  

z =\frac{(p'_1 -p'_2)-(\mu_1-\mu_2)}{\sqrt{\frac{\sigma^2_1}{n_1}+\frac{\sigma^2_2}{n_2} } }

The test statistics can be computed by

     

t₀ = \sqrt{\frac{n_1n_2(n_1+n_2-2)}{n_1+n_2} } *\frac{p_1'-p_2'}{\sqrt{(n_1-1)\sigma_1^2+(n_2-1)\sigma_2^2} } =      1104.83

c from tables is   P(T ≤ c) = 1 - α where α = 5% and c = 1.65

since t₀ ≥ c then then the hypothesis is rejected which means the alternative hypothesis is rejected

b. Type I error, rejecting a true hypothesis

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