Which of the following conjectures that underlie the keynesian consumption function is not consistent with aggregate u. s. data?

a. the average propensity to consume decreases as income increases.
b. there is a high correlation between income and consumption.
c. current income is a determinant of consumption.
d. the marginal propensity to consume is between 0 and 1.

Four analysts cover the stock of fluorine chemical. one forecasts a 6% return for the coming year. the second expects the return to be negative 6%. the third predicts a return of 8%. the fourth expects a 2% return in the coming year. you are relatively confident that the return will be positive but not large, so you arbitrarily assign probabilities of being correct of 35 % comma 8 %, 17 %, and 40%, respectively, to the analysts' forecasts. given these probabilities, what is fluorine chemicals expected return for the coming year

Refers to the way we conduct ourselves

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.