Suppose that a researcher is interested in the average standardized test score for fifth graders in a local school district. The fifth graders at a specific school would comprise a​ ___________ and their average test score would be a​ ___________

A running coach wants to know if participating in weekly running clubs significantly improves the time to run a mile. The running coach collects mean mile times for 42 runners who participate in weekly running clubs with 54 runners who do not run in clubs. The running coach measures times in January and June of the same year. All times are in seconds, and the runners all started with mile times between 8 minutes (480 seconds) and 9 minutes (540 seconds). Here are the results: (table)   The running coach investigates if runners in a running club improve times more than runners not in a club. The running coach conducts a hypothesis test for the difference in sample mean change (“Running Club” minus “Not in a Club”). Here are the results: T-value = 2.7027, p-value = 0.0043, DF = 74 95% Confidence Interval (0.5254, 3.4746) Which of the following can the running coach conclude?  Runners who participate in running clubs have a statistically significant change in running times when compared…

Provide an appropriate response. Suppose you were to collect data for the pair of given variables in order to make a scatterplot. For the variables time spent on homework and exam grade, which is more naturally the response variable and which is the explanatory variable? O Time spent on homework: response variable Exam grade: explanatory variable O Time spent on homework: explanatory variable Exam grade: response variable

From the following data of the daily wage of 500 workers of a factory find the number of workers : (a) whose wages are more than $ 370 but not more than $ 400. (b) whose wages are less than $ 370 but not less than $ 350. Wages not exceeding $ 300 =150 workers Wages not exceeding $ 350 = 180 workers Wages not exxceeding $ 400 = 240 workers Wages not exceeding $ 450 = 400 workers Wages not exceeding $ 500 = 500 workers

I need help and directions on how to solve the two subparts of this question on TI84 calculator. Thank you. The average fruit fly will lay 424 eggs into rotting fruit. A biologist wants to see if the average will change for flies that have a certain gene modified. The data below shows the number of eggs that were laid into rotting fruit by several fruit flies that had this gene modified. Assume that the distribution of the population is normal. 426, 445, 417, 410, 415, 418, 412, 439, 452, 447, 407, 423, 447, 441 What can be concluded at the the alpha = 0.10 level of significance level of significance?  The p-value =  (Please show your answer to 4 decimal places.) Based on this, we should__________the null hypothesis.