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fgiga [73]
3 years ago
6

Complete the ratio table below to show ratios equivalent to 4:18.

Mathematics
1 answer:
VashaNatasha [74]3 years ago
6 0
2:9 is equivalent, but i cant see the ratio table
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-15 + 8 = <br> A) -23 <br> B) -7 <br> C) 11 <br> D) 23
bagirrra123 [75]

Answer:

B) -7

Step-by-step explanation:

since since since there is more of the negative number then the positive number, the positive number gets canceled out.

6 0
4 years ago
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Genotypes usually involve some combination of dominant and recessive alleles. What is the most common inheritance pattern?​
viva [34]
Genotype is the genetic composition of an organism. Alleles are the alternative forms of a gene, they can either be dominant alleles (masks the other allele) or recessive alleles (masked by the dominant allele when present). Autosomal dominant and the autosomal recessive are the most common inheritance patterns. 
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4 years ago
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Which of the following is not a real number?
serg [7]
A. is not a real number, or square root -3 
Negative numbers do NOT have a square root because it is negative 
8 0
3 years ago
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The report "The New Food Fights: U.S. Public Divides Over Food Science" states that younger adults are more likely to see foods
zheka24 [161]

Solution :

$n_1=178, \hat p_1 = 0.48$

$n_2=427, \hat p_2 = 0.38$

$\hat p_1=\frac{x_1}{n_1}$

$x_1=n_1 \hat p_1$

   = 178 x 0.48

   = 85.44

    ≈ 85

$x_2=n_2 \hat p_2$

   = 427 x 0.38

   = 162.26

    ≈ 162

a). Yes, the sample sizes are large enough to use the large sample confidence interval so as to estimate the difference in the population proportions.

Let $\hat p_1 = 0.48, \ \ \hat p_2 = 0.38, n_1 = 178 \ \ n_2 = 427$

Where the $\text{subscript indicates}$ the age $18-29$ group and the 2 - subscript indicates the age $50-64$ group.

Since $n_1 \hat p_1 = 85.44$

$n_1(1- \hat p_1)=92.56, \ \ n_2\hat p_2 = 162.26, \ n_2(1-\hat p_2) = 264.74 $

are  all at least 10, the sample sizes are large enough to use the large sample confidence interval.

$P_0=\frac{x_1+x_2}{n_1+n_2}$

   $=\frac{85.44+162.26}{178+427}$

  = 0.409421

$P_0 = 0.4074$

$Q_0=1-P_0$

     = 1 - 0.4094

     = 0.5906

b). 90% confidence interval is

  $=\left( \hat p_1- \hat p_2 \pm \frac{z \alpha}{2} \times \sqrt{P_0Q_0\left(\frac{1}{n_1}+\frac{1}{n_2}}\right) \right)$

  $=\left( 0.48-0.38 \pm \frac{z \times 0.10}{2} \times \sqrt{0.4094 \times 0.5906\left(\frac{1}{178}+\frac{1}{427}}\right) \right)$

 $=(0.1 \pm z 0.05 \times 0.04387082)$

 $=(0.1 \pm 1.64 \times 0.0439)$

 $=(0.1 - 0.071996, 0.1+0.071996)$

 $=(0.028004, 0.171996)$

 $=(0.0280, 0.1720)$

c). Zero is not included in the confidence interval. Answer is no. The difference in the two population proportion are different from each other.

5 0
3 years ago
3) Solve the problem using your graphing calculator. Round all para meter values to the nearest hundredth.
Mama L [17]

Answer:

mmm, well, not much we can do per se, you'd need to use a calculator.

I'd like to point out you'd need a calculator that has regression features, namely something like a TI83 or TI83+ or higher.

That said, you can find online calculators with "quadratic regression" features, which is what this, all you do is enter the value pairs in it, to get the equation.

Step-by-step explanation:

8 0
3 years ago
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