Answer:
Root at -4 with multiplicity of 2
Root at 2 with multiplicity of 1
Step-by-step explanation:
You don't actually need to factor this, you can just use Vieta's formulas and deduce the answer by looking at the options.
It states that the product of the roots is equal to the constant over the coefficient of the highest degree term; in this case, it is 16/1=16.
If you take the product of the roots of each answer, you get (from top to bottom) 16, 4, -16, and -4, which means that only the first answer is correct.
Answer:
The variable "a number" stands for 9.
Step-by-step explanation:
Rewrite the problem as 2 * (6 + x) = 30
Divide 30 into 2. 30/2 = 15
That means that the variable that is added to 6 must make the number 15.
15 - 6 = 9
The variable x is 9 so the equation would be:
2 * (6 + 9) = 30
Answer:
a. The population of interest is:
xi. All workers in the U.S. who have participated in the job-sharing program
b. The variable that is being measured is:
viii. The percentage of the 1035 major firms surveyed which offer job-sharing to their employees
c. The sample selected is:
vi. The 1,035 firms surveyed
d. The parameter is:
v. Proportion of employees who are working mothers
e. The statistic is:
ix. 25% (stated as 23%)
Step-by-step explanation:
The parameter of a population is a fixed value calculated from every individual in the population. It is different from a statistic, which is computed from a sample of the population. The statistic is meant to approximate a population parameter.
Answer:
(0, 2) and (- 1, 4)
Step-by-step explanation:
The solutions to the system of equations are at the points of intersection of f(x) and g(x)
These are at (0, 2) and (- 1, 4)
Answer:
Type II error occurred
Step-by-step explanation:
It is given that a new shampoo is being tested to determine whether the hair grows faster by using this shampoo.
It is known that hair grow at 0.5 inches per month at average.
The hypothesis are,
Null hypothesis, 
Alternate hypothesis, 
But it is known that :
Type 
error occurs when rejecting the null hypothesis when the null hypothesis is true actually.
Type 
error occurs 
when the null hypothesis is actually false.
Now here since the null hypothesis is not been rejected, type error had occurred.
