Kam department store reported the following information for 2013: october november december budgeted sales $1,240,000 $1,160,000 $1,440,000 all sales are on credit. customer amounts on account are collected 50% in the month of sale and 50% in the following month. how much cash will kam receive in november? $1,200,000

If a seller prepaid the taxes of $4,400 and the closing is set for may 19, using the 12 month/30 day method what will the buyer owe the seller as prorated taxes?

Lusk corporation produces and sells 14,300 units of product x each month. the selling price of product x is $25 per unit, and variable expenses are $19 per unit. a study has been made concerning whether product x should be discontinued. the study shows that $72,000 of the $102,000 in monthly fixed expenses charged to product x would not be avoidable even if the product was discontinued. if product x is discontinued, the annual financial advantage (disadvantage) for the company of eliminating this product should be:

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.