How do you think statistics may at times "not say" something? How can a well-designed study be used to carefully "say everything" that is important about a population? Is it possible to do so?

Afurniture store has 1,500 chairs in storage. a manager uses three delivery receipts to simulate samples to check 100 chairs and note the number of brown chairs. suppose the actual number of brown chairs is 1,080. about how many brown chairs are

Which of the following choices gives you a slope of 3?

Will make ! for correct answer the dot plot below shows the number of toys 21 shops sold in an hour.is the median or the mean a better center for this data and why? a. median; because the data is not symmetric and there are outliersb. median; because the data is symmetric and there are no outliersc. mean; because the data is symmetric and there are no outliersd. mean; because the data is skewed and there are outliers