Do not answer this please. experiment only

Following are the transactions for valdez services. the company paid $2,000 cash for payment on a 6-month-old account payable for office supplies. the company paid $1,200 cash for the just completed two-week salary of the receptionist. the company paid $39,000 cash for equipment purchased. the company paid $800 cash for this month’s utilities. the company paid $4,500 cash in dividends to the owner (sole shareholder). examine the above transactions and identify those that create expenses for valdez services. prepare general journal entries to record those transactions that created expenses in the above given order.

Frolic corporation has budgeted sales and production over the next quarter as follows. the company has 4100 units of product on hand at july 1. 10% of the next months sales in units should be on hand at the end of each month. october sales are expected to be 72000 units. budgeted sales for september would be: july august september sales in units 41,500 53,500 ? production in units 45,700 53,800 58,150

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.