During the course of a typical baseball​ season, suppose that a batter has 500​ at-bats. This means that the player has the opportunity to get a hit 500 times during the course of a season.​ Further, suppose that a batter is a career 0.280 hitter​ (he averages 280 hits for every 1000​ at-bats, or he has 280 successes in 1000 trials of the​ experiment), so the population proportion of hits is 0.280. ​(a) Assuming that each​ at-bat is an independent​ event, describe the sampling distribution of p​, the proportion of hits in 500​ at-bats over the course of a season. ​(b) Would it be unusual for a player who is a career 0.280 hitter to have a season in which he hits​ 0.310? ​(c) Would it be unusual for the player who hit 0.310 one season to hit below 0.255 the following​ season? ​(a) The sampling distribution of p is ▼

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.