You work for Southern California Edison (SCE) and the police departments of several cities require your support to identify potential venues growing marihuana. It seems that clandestine sites that produce this plant use 500% above the energy average use. The CEO of SCE asked you to prepare a report to be handle to the different police departments to enforce the law regarding producing marihuana in California. You decide that you will use the data science cycle to prepare your report. So for each one of the steps, you will describe how you will prepare your report. You are very motivated by the fact that the CEO select you to prepare SCE report.

Reliability and validity reliability and validity are two important considerations that must be made with any type of data collection. reliability refers to the ability to consistently produce a given result. in the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. to illustrate this concept, consider a kitchen scale that would be used to measure the weight of cereal that you eat in the morning. if the scale is not properly calibrated, it may consistently under- or overestimate the amount of cereal that’s being measured. while the scale is highly reliable in producing consistent results (e.g., the same amount of cereal poured onto the scale produces the same reading each time), those results are incorrect. this is where validity comes into play. validity refers to the extent to which a given instrument or tool accurately measures what it’s supposed to measure. while any valid measure is by necessity reliable, the reverse is not necessarily true. researchers strive to use instruments that are both highly reliable and valid.