Amanufacturing process produces bags of cookies the weights of these bags are known to be normally distributed and should have a mean of μ = 15.0 ounces with a standard deviation of σ = 0.4 ounces. in order to monitor the process, four bags are selected periodically and their average weight (x¯¯) is computed. what is the parameter of interest?

The parameter of interest is average weight of the bags of cookies sampled.

Step-by-step explanation:

Sampling is done to compare sample average weight against the known average weight. (μ = 15.0 ounces) and to check if the manufacturing process produces bags as expected.

Then A hypothesis test can be done to test if  average weight μ is 15.0 ounces by assuming null and alternative hypotheses at a significance level.

As a result, the purpose is to make an estimation about the average weight of the bags produced in the manufacturing process.

solution:

as, mean is defined as sum of all the observations divided by total number of observations.

and , median is mid value of the data whether arranged in ascending order or descending order.

consider, roadsters:

2,3,4,5,6,7,8,9

mean =

also, median= , because number of observations is even, so median is mean of two mid values.

now, coming to bandits

2,3,4,5,6

mean =  

median = 4, as number of observations is odd.

so, roadsters has greater median as well mean than bandits.

→option a is true about the repairs performed on 2 types of cars:

bandits have lower median and mean than roadsters.