Answer:
B
Step-by-step explanation:
The second equation in system B is only in terms of y, so we need to use elimination to eliminate the x term from the second equation in system A.
To do that, we need to multiply the first equation by 5.
5 (-x − 2y = 7)
-5x − 10y = 35
Add to the second equation. Notice the x terms cancel out.
(-5x − 10y) + (5x − 6y) = 35 + (-3)
-16y = 32
Combining this new equation with the first equation from system A will get us system B.
-x − 2y = 7
-16y = 32
94. 7 pounds of grapes costs 10.43 dollars. Now, solve for the costs of 3 pounds of grapes.
There are different ways to solve this kind of situation. For my end, I will be showing the solution that I think is easier.
=> 7 pounds = 10.43 dollars.
Find the unit rate first
=> 10.43 dollars / 7 = 1.49 dollars per pounds.
Now, solve for the cost of 3 pounds
=> 1.49 * 3 = 4.47 dollars is the costs of 3 pounds of grapes.
Answer:
The answer is "It would decrease, but not necessarily by 8%".
Step-by-step explanation:
They know that width of the confidence level is proportional to a confidence level. As just a result, reducing the confidence level decreases the width of a normal distribution, but not with the amount of variance in the confidence level. As just a result, when a person teaches a 90% standard deviation rather than a 98 percent normal distribution, the width of the duration narrows.
Answer:
True
Step-by-step explanation:
Confidence interval for banking service in a given confidence level can be calculated as M±ME where
- M is the mean banking service in the sample and
- ME is the Margin of Error
margin of error (ME) is calculated using the formula
ME=
where
- t is the corresponding statistic in the given confidence level
- s is the standard deviation of the sample(or of the population if it is known)
t-statistic for 99% confidence level is always bigger than 95% confidence level which makes Margin of Error bigger and thus confidence interval wider.
51 + 30 + 69 = 150 total
probability purchased grape flavor = 30/150 = 0.2
answer
A. 0.2
