Answer:
There is no evidence to said that the technique performs differently than the traditional method.
Step-by-step explanation:
First, we need to write the null and alternative hypothesis as:
H0: x = 11.7
H1: x ≠ 11.7
Where x is the population mean for the new method.
Taking into account that the population distribution is approximately normal and the standard deviation of the population is unknown, we can calculated the statistic as:

Where t follows a distribution t-student with n-1 degrees of freedom.
So, replacing x' by the mean of the sample, s by the standard deviation of the sample and n by the size of the sample, we get:

Then, we can find the critical points as:
P(t<t1) = 0.025
P(t<t2) = 0.975
So, with 22 degrees of freedom, the critical point t1 and t2 are equal to -2.07 and 2.07 respectively.
Since 1.37 is between the critical points, we can't reject H0. it means that there is no evidence to said that the technique performs differently than the traditional method.
Answer:
b and f
Step-by-step explanation:
Answer:
x<-3
Step-by-step explanation:
-2(x+1)+6x<-14
Distribute
-2x-2 + 6x < -14
Combine like terms
4x -2 < -14
Add 2 to each side
4x-2+2 < -14+2
4x < -12
Divide by 4
4x/4 < -12/4
x<-3
Answer:
Answer to question eight: $152.96
Step-by-step explanation:
$14.12 * 8 pages = $112.96
$0.20 * 200 words = $40
$112.96 + 40 = $152.96
Answer:
N = 15 ; P = 0.3
Step-by-step explanation:
According to the question, the data provided in the question is as follows
The percentage of parolees from prison return to prison = 30%
Number of years = 3 years
Number of prisoners released from a Texas prision is 15
Based on the above information, the value of the parameters for the binomial random variable X is
N = 15 = number of prisoners
And, the P = Percentage = 30% = 0.3