It is quadratic equation.
First we have find delta given by formula: delta=

where our
a=16
b=-24
c=7
so, delta=

Because delta is positive, there is real results.
Now we can use next formula x=

, to find roots (results, 2 results because its quadratic equation and delta is greater than 0)
x1=

x2=
Answer:
a) 0.997 is the probability that the breaking strength is at least 772 newtons.
b) 0.974 is the probability that this material has a breaking strength of at least 772 but not more than 820
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 800 newtons
Standard Deviation, σ = 10 newtons
We are given that the distribution of breaking strength is a bell shaped distribution that is a normal distribution.
Formula:
a) P( breaking strength of at least 772 newtons)
Calculation the value from standard normal z table, we have,

0.997 is the probability that the breaking strength is at least 772 newtons.
b) P( breaking strength of at least 772 but not more than 820)

0.974 is the probability that this material has a breaking strength of at least 772 but not more than 820.
Since we know that they drove 210 and the amount of gas they used, put the miles over the amount of gas each person used
Answer:
See below
Step-by-step explanation:
A) The population of the poll is the United States Population EXCLUDING New England States. In other words, the population is all USA population except the New England population. Remember that population is all the set of individuals from where you extract your sample. The sample are those 2,700 adults interviewed.
B) The sampling used is, as said in the statement, a randome sampling.
C) Yes! There could be a bias because of the exclusion of New England States if the people who lives there tends to have more guns than the average american population. This could be, for example, due to that those states have the least gun owning in America or, contrary, if they have the highest. If Rode Island is the most violent state and has the highest gun owning rate, the results could be biased. However, we can't confirm it without seeing the data, but there is possible.