Answer:
confidence interval:
This tells us the degree of certainty or uncertainty that is existent in a sampling method. It gives us a range of values, telling us we are fairly sure that our true value or parameter lies within the range.
Degree of confidence:
This tells us that the confidence interval has captured the true/exact population parameter.
If we have 95% degree of confidence, we are 95% sure that that the exact/true parameter are in the confidence interval
Number = 42
Percent increase = 50%
Increase in number = 50% of 42
= 50/100 × 42 =21
So, increased number = 42+21 = 63
Answer: 1/12
Step-by-step explanation: If you multiply the two factors, you would technically get -1/12, but since there are 2 -'s -*-=+
Step-by-step explanation:
this is may help you this is my answer to your answer
Answer:
ans is three if you dont believe u may check