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MissTica
3 years ago
5

Type the correct answer in the box. Use numerals instead of words. If necessary, use / for the fraction bar.The roots of an equa

tion are x = -1 ± i. The equation is x2 + ? + 2 = 0.
Mathematics
1 answer:
Sliva [168]3 years ago
5 0


When we know the roots are r and s we can just multiply (x-r)(x-s) and set it to zero to recover the original quadratic equation.  We can then scale to get rid of fractions or common factors if we like.


0 = (x - (-1 + i))(x - (-1 -i)) = x^2 - ( (-1+i)+(-1-i) ) x + (-1 + i)(-1 -i)


0 = x^2 + 2x + 2


The linear term coefficient is negative the sum of the roots, which in the case of conjugates is (negative) twice the real part, coefficient +2 here. The constant term is the product of the roots, which in the case of conjugates is the squared magnitude, here 1^2+1^2.


We got a 2x in the middle so we get


Answer: 2x



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The null hypothesis for an ANOVA is that all treatments/samples come from populations with the same mean. The alternative hypoth
Charra [1.4K]

Answer:

At least one of the population means is different from the others.

Step-by-step explanation:

ANOVA is a short term or an acronym for analysis of variance which was developed by the notable statistician Ronald Fisher. The analysis of variance (ANOVA) is typically a collection of statistical models with their respective estimation procedures used for the analysis of the difference between the group of means found in a sample. Simply stated, ANOVA helps to ensure we have a balanced data by splitting the observed variability of a data set into random and systematic factors.

In Statistics, the random factors doesn't have any significant impact on the data set but the systematic factors does have an influence.

Basically, the analysis of variance (ANOVA) procedure is typically used as a statistical tool to determine whether or not the mean of two or more populations are equal through the use of null hypothesis or a F-test.

Hence, the null hypothesis for an ANOVA is that all treatments or samples come from populations with the same mean. The alternative hypothesis is best stated as at least one of the population means is different from the others.

5 0
3 years ago
Mrs.samuelosn had 35 dollars had 350 to spend on a field trip for her self and 18 students.admisstion was 12.50 per person and l
Galina-37 [17]
Multiply 18 by12.50 =225
multiply 18 by 5 = 90
add 225+90=315
subbtract 350 from 315 =35
35 is how much she had left over 
8 0
3 years ago
PQRS is parallelogram,QM is the height of Q to SR and ON is the height from Q to PS.It SR =12 cm and QM =7.6 cm find the area of
Oksanka [162]

Given: SR=12cm, QM=7.6cm, PS=8cm.

Area of parallelogram=base×height

=12×7.6=91.2cm2.

Area of parallelogram=base×height

⇒91.2=8×QN

⇒QN=891.2=11.4cm.

5 0
3 years ago
A researcher wishes to be 95% confident that her estimate of the true proportion of individuals who travel overseas is within 3%
andre [41]

Answer:  a) 683   b) 1067

Step-by-step explanation:

The confidence interval for population proportion is given by :-

p\pm z_{\alpha/2}\sqrt{\dfrac{p(1-p)}{n}}

a) Given : Significance level :\alpha=1-0.95=0.05

Critical value : z_{\alpha/2}}=\pm1.96

Margin of error : E=0.03

Formula to calculate the sample size needed for interval estimate of population proportion :-

n=p(1-p)(\dfrac{z_{\alpha/2}}{E})^2\\\\=0.2(0.8)(\dfrac{1.96}{0.03})^2=682.951111111\approx683

Hence, the required sample size would be 683 .

b) If no estimate of the sample proportion is available then the formula to calculate sample size will be :-

n=0.25(\dfrac{z_{\alpha/2}}{E})^2\\\\=0.25(\dfrac{1.96}{0.03})^2=1067.11111111\approx1067

Hence, the required sample size would be 1067 .

3 0
3 years ago
14
Angelina_Jolie [31]

Answer:

C.8.12 units

Step-by-step explanation:

7 0
3 years ago
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