Answer: 0.1397 ; 0.385
Step-by-step explanation:
Given the following :
Small engine population = 45% ; 10% fail
Medium engine population = 35% ; 12% fail
Large engine population = 20% ; 15% fail
Probability that a randomly chosen car fails emission test :
P(failure) = Σ(population % * failure %)
P(failure) = (45%*10%) + (35%*12%) + (20%*15%)
P(failure) = 0.045 + 0.042 + 0.03 = 0.117
B) what is the probability it is a car with a small engine
P = small engine cars with emission failure / total emission failure
= (0.45 × 0.1) / 0.117 = 0.045 / 0.117 = 0.3846
= 0.385
question is below
The missing justification is for the statement that three angles add to a particular angle. The appropriate choice is ...
... c. Angle Addition Postulate
Answer:
The area is 225 square inches
Step-by-step explanation:
Area of a square = side x side
A = 15 x 15
A = 225
B. The slope m is run over rise, so x over y=m. Solve for x=ym.
C. The slope m is run over rise, so x over y=m. Solve for y to get y= x over m.
D. The slope m is rise over run, so x over y=m. Solve for x to get x=ym.
Answer:
Step-by-step explanation:
m (slope) = rise = y = y₁ - y₁
run x x₁ - x₁
to get y = mx
therefore, the answer to the question is :
A. The slope m is rise over run, so y over x =m.
Solve for y to get y=mx.
~
Answer:
its d
Step-by-step explanation: i just did it
n1=120 n2=100
x1=4.1 minutes x2=3.4 minutes
σ1=2.2minutes σ2= 1.5 minutes
Test at the 0.05 level of significance to determinewhether the population mean checkout times of the two newsystems differ. Which system is preferred?
Answer:
We conclude that the population means checkout times of the two new systems differ.
Step-by-step explanation:
We are given the result in the following summary of the data;
System System B
n1=120 n2=100
x1=4.1 min x2=3.4 min
σ1=2.2 min σ2= 1.5 min
Let = population mean checkout time of the first new system
= population mean checkout time of the second new system
So, Null Hypothesis, : {means that the population mean checkout times of the two new systems are equal}
Alternate Hypothesis, : {means that the population mean checkout times of the two new systems differ}
The test statistics that will be used here is Two-sample z-test statistics because we know about population standard deviations;
T.S. = ~ N(0,1)
where, = sample mean checkout time of the first new systems = 4.1 min
= sample mean checkout time of the second new systems = 3.4 min
= population standard deviation of the first new systems = 2.2 min
= population standard deviation of the second new systems = 1.5 min
= sample of the first new systems = 120
= sample of the second new systems = 100
So, the test statistics =
= 2.792
The value of z-test statistics is 2.792.
Now, at 0.05 level of significance, the z table gives a critical value of -1.96 and 1.96 for the two-tailed test.
Since the value of our test statistics does not lie within the range of critical values of z, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region.
Therefore, we conclude that the population mean checkout times of the two new systems differ.