Create a scatterplot of height and income at age 33, but exclude observations with wages per hour more than 400 British pounds and heights less than 40 inches. Describe the difference from the earlier plot. Which plot seems the more reasonable basis for statistical analysis? Why?

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.

Abank has $132,000 in excess reserves and the required reserve ratio is 11 percent. this means the bank could have in checkable deposit liabilities and in (total) reserves.

Consider two similar industries, portal crane manufacturing (pcm) and forklift manufacturing (flm). the pcm industry has exactly three incumbents with annual sales of $800 million, $200 million and $100 million, respectively. the flm industry has also exactly three incumbents, with annual sales of $500 million, $450 million and $400 million, respectively. which industry is more likely to experience a higher level of rivalry?