It is true that the confidence intervals for the mean provide an estimate for where the true mean lies.
In statistics, a confidence interval denotes the likelihood that a population parameter will fall between a set of values for a given proportion of the time. A confidence interval depicts the likelihood that a parameter will fall between two values near the mean. Confidence intervals quantify the degree of uncertainty or certainty in a sampling procedure.
The mean is a basic mathematical average of two or more values. There are two sorts of means that may be calculated: the arithmetic mean and the geometric mean. A mean tells you the average of a bunch of values, which helps you contextualize each data point.
Okay. Since we know that the customer before them bought one of each type of bulb, we can subtract one bulb from each type so now, here is what the store has:
5 amaryllis
6 daffodils
3 lilies
2 tulips
Next, let’s find the probability of the customer picking an amaryllis.
We know there are 5 amaryllis, so we can put that as the numerator.
Next, we have to add up all the flowers to get the denominator.
5+6+3+2
I got 16.
So now we have 5/16
So, that is our answer! 5/16, or as a decimal 0.3125, or as a percentage 31.25%.
Hope this helps! Comment if you have any questions! :)
