Answer:
(27.954, 30.046)
Yes
Step-by-step explanation:
Given that :
Mean (m) = 29
Standard deviation (σ) = 2.2
Sample size (n) = 17
Confidence interval (α) = 95%
Average age as claimed by the company = 28
Confidence interval formula :
Mean ± (Zcritical * σ/sqrt(n))
Zcritical at 95% = 1.96
(Zcritical * σ/sqrt(n)) = (1.96 * (2.2/sqrt(17)) = (1.96 * 0.5335783) = 1.0458136
Lower boundary = (29 - 1.0458136) = 27.954186
Upper boundary = (29 + 1.0458136) = 30.045813
(27.954, 30.046)
b. Does this result lend support to the car's company's claim?
Yes, it does, 28 falls in between the the calculated confidence interval.
The √`100 is 10.
Why?
Because when you multiply 10 by itself, you still end up in 100.
Answer:
Power analysis
Step-by-step explanation:
Power analysis is a significant part of test structure. It permits us to decide the example size required to recognize an impact of a given size with a given level of certainty. On the other hand, it permits us to decide the likelihood of recognizing an impact of a given size with a given degree of certainty, under example size requirements. On the off chance that the likelihood is unsuitably low, we would be shrewd to adjust or forsake the analysis.
The principle reason underlying power analysis is to assist the analyst with determining the littlest example size that is appropriate to recognize the impact of a given test at the ideal degree of hugeness.
Answer:
Ibrahim gets 5 fixed and 3.5 per hour.
Step-by-step explanation:
Ibrahim has a side job at the market. He calculates his income with the formula income in € = 5 + 3.50 x, time in hours. Explain the formula.
Here, the fixed income is 5.
the income per hour is 3.5.
So, Ibrahim gets 5 fixed and 3.5 per hour.
Answer:
Use quadratic formula
Step-by-step explanation:
(x - 17) (7x + 5)
7x^2 + 5x - 119x - 85
7x^2 - 114x - 85 = 0
The value of x can then be worked out using the quadratic formula where you substitute all the numbers in your calculator.