Jeffrey earned $65 doing yard work he bought a pair of jeans for 3125 and a sweatshirt for 1650 he set aside the money left from
1 answer:
You might be interested in
The equation can be used to find the time in hours, and the time will be 2.5 hours. So the correct answer is option A.
It is defined as the relation between two variables, if we plot the graph of the linear equation we will get a straight line.
Layna can paint a 350-square-foot room in 4 hours.It takes Bebe 7 hours to paint the same room.
Let t be the total time taken by both to paint.They are completing 1 job so the equation will be :
Further solving it we get;
7 t + 4 t = 28
11t = 28
t = 2.5 hours.
Therefore the equation can be used to find the time in hours, and the time will be 2.5 hours. So the correct answer is option A.
To know more about equations follow
#SPJ1
Answer:
Probability that a battery will last more than 19 hours is 0.0668.
Step-by-step explanation:
We are given that the lifetime of a battery in a certain application is normally distributed with mean μ = 16 hours and standard deviation σ = 2 hours.
<em>Let X = lifetime of a battery in a certain application</em>
So, X ~ N()
The z-score probability distribution for normal distribution is given by;
Z = ~ N(0,1)
where, = mean lifetime = 16 hours
= standard deviation = 2 hours
The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.
So, the probability that a battery will last more than 19 hours is given by = P(X > 19 hours)
P(X > 19) = P( >
) = P(Z > 1.50) = 1 - P(Z
1.50)
= 1 - 0.9332 = 0.0668
<em>Now, in the z table the P(Z </em><em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.50 in the z table which has an area of 0.9332.</em>
Hence, the probability that a battery will last more than 19 hours is 0.0668.
Answer:
The number of cases prior to the increase is 50.
Step-by-step explanation:
It is given that the number of measles cases increased by 13.6% and the number of cases after increase is 57.
We need to find the number of cases prior to the increase.
Let x be the number of cases prior to the increase.
x + 13.6% of x = 57
Divide both the sides by 1.136.
Therefore the number of cases prior to the increase is 50.