When we carry out a Measurement of a population, we take into account different patterns when estimating both the final prediction - to which the projected survey is projected - as well as the quality of said measurement. When such measurement is made, the estimated range of data belonging to an unknown population and which in turn will be included in said measurement must be taken into account. This range is what we know as the Confidence Interval, whose value has generally been standardized at 95%.
The meaning of this Interval is no more than 95% reliability against repeated samples that could alter the final result. The value of the parameter allows you to 'immunize' against these problems. Instead of providing a timely estimate of the parameter of interest, the confidence interval provides an estimate of the parameter interval.
In the event that a specific value is sought in the result or from the sample, and we would like to obtain a range of those parameter values, it is when the Confidence Interval tool is of vital importance, as it will give the required result.
Answer:
1.166 per 1000 of population
Step-by-step explanation:
Given the following :
Newly recorded cases of invasive cervical cancer = 723
Period of time = 1975 - 1984 ( inclusive)
Estimated average Population of white women in the area at the time = 620,000
Average annual. Incidence rate invasive of cervical cancer in the population.
Incidence rate = (new cases / total population) × 10^n
Incidence rate = (723/620000) × 10^n
= 0.0011661
= 1.166 per 1000 of population
Yes, in a function you cannot have two different images for the same x.
Because if an x has more than one image, you couldn't tell what is the value of the image given that x.
Woah that looks hard and if no one answers just search it up
Answer:
Yep! That looks right!
Step-by-step explanation:
