Answer:
p = 7.50h
Step-by-step explanation:
The answer has to be in the form of p =, since p is the pay which represents our y value, and the hours worked represents our x value. You can find the slope of the line by using the formula and any two points on the table:
That simplifies to 7.5. So the slope of the line is 7.5. We also know that the line goes through the origin (0, 0), which means, according to our data (and any data in the real world) that if you work 0 hours (x) you get 0 pay (y). So the y intercept of the line is 0. The equation, then, in slope-intercept form, is
p = 7.50h, the first choice. This means that the employee makes $7.50 per hour and should probably consider a new job.
<span>
3x + 2y = 11</span>
<span />2(7x - y) = 2(3)
14x-2y=6
Adding both equations<span>
3x + 2y = 11</span>
<span>14x-2y=6</span>
<span>17x=17</span>
<span>x=1</span>
<span>substitute x = 1 in any equation</span>
<span>3(1) + 2y = 11</span>
<span>2y = 8</span>
<span>y = 4</span>
<span>Solution: x=1 y=4</span>
Answer:uhhhhhhhhhhhhhhhhhhh 14
Step-by-step explanation:
The answer is A because 25 percent is equivalent to .25
Answer:
Step-by-step explanation:
Let x be the random variable representing the number of miles that each person walked each day for 6 months. Since it is normally distributed and the population mean and population standard deviation are known, we would apply the formula,
z = (x - µ)/σ
Where
x = sample mean
µ = population mean
σ = standard deviation
For Rueben,
µ = 5
σ = 1.1
the probability that Rueben walked more than 6.1 miles is expressed as
P(x > 6.1) = 1 - P( x ≤ 6.1)
For x = 6.1,
z = (4 - 6.1)/1.1 = - 1.91
Looking at the normal distribution table, the probability corresponding to the z score is 0.02807
P(x > 6.1) = 1 - 0.02807 = 0.97193
P(x > 6.1) = 0.97 × 100 = 97%
For Victor,
µ = 4.4
σ = 1.4
the probability that Victor walked less than 5.8 miless is expressed as
P(x < 5.8)
For x = 5.8,
z = (5.8 - 4.4)/1.4 = 1
Looking at the normal distribution table, the probability corresponding to the z score is 0.8413
P(x < 5.8) = 0.84 = 84%
