QUESTION IMAGE
Question
before a chair manufacturer sells its beanbag chairs, they spot check a random sample of chairs on the production line. the table below shows the number of common problems found during one such spot check.
| common problems | frequency |
|---|---|
| cuts in upholstery | 14 |
| understuffed | 15 |
| none | 267 |
| total | 300 |
if the manufacturer makes 1500 beanbag chairs per day, how many of those chairs would they expect to be understuffed?
o they would expect 15 chairs to be understuffed.
o they would expect 75 chairs to be understuffed.
o they would expect 300 chairs to be understuffed.
o they would expect 750 chairs to be understuffed.
Step1: Calculate the proportion of under - stuffed chairs in the sample
The proportion $p$ of under - stuffed chairs in the sample of $n = 300$ chairs is calculated by dividing the number of under - stuffed chairs in the sample by the total number of chairs in the sample. The number of under - stuffed chairs in the sample is $15$, so $p=\frac{15}{300}=0.05$.
Step2: Estimate the number of under - stuffed chairs in the daily production
The manufacturer makes $N = 1500$ chairs per day. To find the expected number of under - stuffed chairs $E$, we multiply the proportion of under - stuffed chairs in the sample by the total number of chairs produced per day. So $E = p\times N=0.05\times1500 = 75$.
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They would expect 75 chairs to be understuffed.