Orange m& m’s: the m& m’s web site says that 20% of milk chocolate m& m’s are orange. let’s assume this is true and set up a simulation to mimic buying 200 small packets of milk chocolate m& m’s. each packet contains 55 candies. we made this dotplot of the results. now suppose that we buy a small packet of m& m’s. we find that 9% (5 of the 55) of the m& m’s are orange. what can we conclude from the sampling distribution? group of answer choices this result is surprising because it is unlikely that we will select a random sample with only 9% orange candies if 20% of milk chocolate m& m’s are orange. this result is surprising because we expect the orange candies to make up at least 20% of the candies in a packet. this result is not surprising because we expect to see many samples with less than 9% orange candies. this result is not surprising because random samples are expected to vary.

Ascientist studied a population of workers to determine whether verbal praise and/or tangible rewards affect employee productivity. in the study, some workers were offered verbal praise, some were offered tangible rewards (gift cards, presents, and some were offered neither. the productivity of each participant was measured throughout the study by recording the number of daily tasks completed by each employee. which inference might the scientists make based on the given information? a.) the number of daily tasks completed by each employee may influence the dependent variable, which is whether the employee receives verbal praise, tangible rewards, or neither. b.) verbal praise and/or tangible rewards may influence the independent variable, which is the number of daily tasks completed by each employee. c.) verbal praise and/or tangible rewards may influence the dependent variable, which is the number of daily tasks completed by each employee. d.) the dependent variables, which are verbal praise and tangible rewards, may influence the number of daily tasks completed by each employee.