The owner of Cruz Wedding Photography believes that the average number of wedding bookings per year can be estimated by a triangular distribution with a minimum of 10, maximum of 22, and most likely value of 15. One of the key variables in developing his business plan is the life he can expect from a single digital single-lens reflex (DSLR) camera before it needs to be replaced. Due to heavy usage, the shutter life expectancy is estimated by a normal distribution with a mean of 147 comma 500 clicks with a standard deviation of 9 comma 500. For each booking, the average number of photographs taken is assumed to be normally distributed with a mean of 2 comma 050 and a standard deviation of 300. Develop a simulation model using 50 trials to determine summary statistics and the distribution of the camera life (in years).

4.8427 4.7525 5.9821 4.2537 3.9276 8.3259 3.7255 5.5925 4.4825 5.9912 4.3542 3.6402 3.8215 4.9281 3.8434 3.9499 4.9526 5.3236 3.0294 5.6839 5.9974 3.7926 4.1257 5.1616 2.5819 5.0816 4.8783 6.1249 4.5534 4.4942 4.0686 4.6271 5.2114 5.3780 3.6666 5.1213 3.7884 5.3167 4.5799 5.6265 5.3809 3.9464 3.7800 3.6028 4.2697 4.6847 4.7316 5.5383 3.9690 3.9281

also construct a frequency distribution

Say the values of the shutter life (in clicks), the weddings per year, the photos per wedding, the average weddings per camera, and the camera life in years are entered in cells B3, B4, B5, B6, and B8, respectively. Then, for the Monte Carlo simulation, the shutter life is randomly generated using the Excel formula =ROUND(NORM.INV(RANDO,0),0) and the photos per wedding is randomly generated using the Excel formula =ROUND(NORM.INV(RAND()-D),0). The formula for the average weddings per camera is =B[ B and the formula for the camera life in years is =B B (Type whole numbers.) Determine the mean, standard deviation, minimum, and maximum of the provided sample of 50 simulation trial results