Answer:
35 pounds of $8.00 tea and 15 pounds of $6.00 tea
Step-by-step explanation:
Let x represent the pounds of tea of the $8 kind. 8x would represent the total cost of that type of tea. We can also say 50 - x is the pounds of tea of the $6 kind, so 6(50 - x) is the total cost of that type of tea. 50 * 7.4 represents the total cost of all the tea, and the expression 8x + 6(50 -x) would also represent the same thing. We can write this as an equation,
8x + 6(50 -x) = 50 * 7.4
simplify,
8x + 300 - 6x = 370
2x + 300 = 370
and solve.
2x = 70
x = 35
This means there is 35 pounds of the $8 kind.
We can subtract that from 50 to find,
50 - 35 = 15,
15 pounds is the amount of the $6 kind.
Answer:34.4
Step-by-step explanation:
172.5-137.1=34.4
Answer:
c. A two-tailed test should be performed since the alternative hypothesis states that the parameter is not equal to the hypothesized value.
Step-by-step explanation:
Let p1 be the average score on a final exam who texted on a regular basis during the lectures for a particular class
And p2 be the average score on a final exam who did not texted at all during the lectures for a particular class
According to the Cameron's point of interest, null and alternative hypotheses are:
p1 = p2
p1 ≠ p2
Two tailed test should be performed since the alternative hypothesis states that the parameter is not equal to the hypothesized value.
Since there is no picture to show the box, all I can say is that 28.17- 23.8 = 4.37 and 23.8 + 4.37 = 28.17
Answer:
the probability that the project will be completed in 95 days or less, P(x ≤ 95) = 0.023
Step-by-step explanation:
This is a normal probability distribution question.
We'll need to standardize the 95 days to solve this.
The standardized score is the value minus the mean then divided by the standard deviation.
z = (x - xbar)/σ
x = 95 days
xbar = mean = 105 days
σ = standard deviation = √(variance) = √25 = 5
z = (95 - 105)/5 = - 2
To determine the probability that the project will be completed in 95 days or less, P(x ≤ 95) = P(z ≤ (-2))
We'll use data from the normal probability table for these probabilities
P(x ≤ 95) = P(z ≤ (-2)) = 0.02275 = 0.023
