Ricardo Garcia Bertin Pablo Eric Gomez Period:

 8.0 Student organized and describe distribution of data by using of different methods, including frequency table, histogram, standard line and bar graphs, stem- and-leaf displays, scatter plots, and box of whisker plots.  17.0 Students determine confidence interval for a simple random sample from a normal distribution of data and determine the sample size required for a desired margin of error.  18.0 Student determine the P-value for a statistic for a simple random sample from a normal distribution

 We believe our estimate for a daily workout/ exercise is 60 minutes.

 For our sampling technique we used a cluster method.  We’re a group of 3 and we asked 42 seniors therefore each person got to 14 seniors to ask  We will collect data by using cluster sampling method. We asked 42 seniors at Century how many minutes do they workout / exercise a day.

 Length  150,150,150,120,60,30,120,60,15,120,60,150,30,0, 15,0,0,0,150,30,30,150,120,90,150,90,15,150,60,0,6 0,30,0,90,90,120,120,120,90,0,120,90

 From our survey, senior sample commute mean time is 73.2 minutes with sample standard deviation 54.7 minutes.

 95% Confidence Interval  ( )  We are 95% confident mean commute time for all the seniors are between 57 to 90.1 minutes

 Test statistic p= <0.05  At 5% level of significance, we failed to reject the claim. There is not enough evidence to support our claim

 We hypothesized that Century seniors commute time average 60 minutes. In our survey of 42 seniors, we found the sample mean of 71.2 with the standard deviation of 54.7 minutes. We conclude that the population mean for all seniors is between 57 to 90.1 minutes with 95% confident. We test our initial hypothesis with 5% level of significance, and confirm our hypothesis as incorrect.