Answer:
1.28/7. 2.-17/7. 3.-11/-3. 4.not sure. 5. cant remeber rest
Answer:
$0.26
Step-by-step explanation:
12/46=.26
Answer: y = - 4x/3 + 12
Step-by-step explanation:
The equation of a straight line can be represented in the slope-intercept form, y = mx + c
Where c = y intercept
m represents the slope of the line.
m = (y2 - y1)/(x2 - x1)
y2 = final value of y
y 1 = initial value of y
x2 = final value of x
x1 = initial value of x
The line passes through (6, 4) and (3, 8),
y2 = 8
y1 = 4
x2 = 3
x1 = 6
Slope,m = (8 - 4)/(3 - 6) = 4/- 3 = - 4/3
To determine the y intercept, we would substitute x = 3, y = 8 and m= - 4/3 into y = mx + c. It becomes
8 = - 4/3 × 3 + c
8 = - 4 + c
c = 8 + 4
c = 12
The equation becomes
y = - 4x/3 + 12
Answer:
170,000
Step-by-step explanation:
1, 700, 000 * (1/10)
1, 700, 000 * 0.1
170,000
Answer:
Explained below.
Step-by-step explanation:
According to the Central limit theorem, if from an unknown population large samples of sizes n > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.
The mean of this sampling distribution of sample proportion is:
The standard deviation of this sampling distribution of sample proportion is:
A random sample of <em>n</em> = 658 items is sampled randomly from this population.
As the sample size is large, i.e. <em>n</em> = 658 > 30, the Central limit theorem can be applied to approximate the sampling distribution of sample proportion by a Normal distribution.
Compute the mean and standard deviation as follows:
(a)
Compute the probability that the sample proportion is greater than 0.63 as follows:
(b)
Compute the probability that the sample proportion is between 0.60 and 0.66 as follows:
(c)
Compute the probability that the sample proportion is greater than 0.592 as follows:
(d)
Compute the probability that the sample proportion is between 0.57 and 0.60 as follows:
(e)
Compute the probability that the sample proportion is less than 0.51 as follows: