Normal Sampling and Modelling (using the Graphing Calculator) Warm-Up Recall the following definitions in statistics: population: all individuals or items that belong to a group being studied eg. all of the students at OLMC sample: a group of items or people selected from a population eg. the data management classes at OLMC Different symbols are used to distinguish between the population (or actual) mean and standard deviation values and the sample (or approximate) values. population sample Mean μ x Standard Deviation σ s If a population is believed or expected to be normally distributed, it may be modelled by a sample taken from that population. Example Year Return (%) Year Return (%) a) The annual returns from a particular mutual fund are believed to be normally distributed. Erin is considering investing in this mutual fund. She obtained a sample of 20 years of historic returns which are listed in the table below. 1 7.2 11 6.4 2 12.3 12 27 3 17.1 13 14.5 4 17.9 14 25.2 5 10.8 15 -0.5 6 19.3 16 2.4 7 12.2 17 16.7 8 -13.1 18 12.8 9 20.2 19 2.9 10 18.6 20 18.8 Using a graphing calculator, determine the mean ( x ) and standard deviation (s) of this data. GRAPHING CALCULATOR RECALL: Clear Lists: Enter data: Calculate: 2ND MEM 4:ClrAllLists STAT EDIT Use L1 STAT CALC 1-Var Stats b) Assuming the data is normally distributed, determine the probability that an annual return will be at least 9%. c) Use the graphing calculator to determine the above probability. The cdf (cumulative density function) is used to calculate the probability that a given data point lies between a lower and upper bound. Note: 1 x 1099 –1 x 1099 – GRAPHING CALCULATOR INSTRUCTIONS: Use cdf: 2ND DISTR 2: normalcdf( Normalcdf( lower bound, upper bound, mean, standard deviation ) Normalcdf( __________ , __________ , __________ , __________ ) P(x > 9%) = ____________ d) Use the graphing calculator to determine the probability that an annual return will be negative. Normalcdf( __________ , __________ , __________ , __________ ) P(x < 0) = ____________