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Business, 22.06.2019 13:00
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.
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Business, 22.06.2019 15:00
Oerstman, inc. uses a standard costing system and develops its overhead rates from the current annual budget.the budget is based on an expected annual output of 120,000 units requiring 480,000 direct labor hours.(practical capacity is 500,000 hours)annual budgeted overhead costs total $772,800, of which $556,800 is fixed overhead.a total of 119,300 units, using 478,000 direct labor hours, were produced during the year.actual variable overhead costs for the year were $260,400 and actual fixed overhead costs were $555,450.required: 1. compute the fixed overhead spending variance and indicate if favorable or unfavorable.2. compute the fixed overhead volume variance and indicate if favorable or unfavorable.
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Business, 22.06.2019 16:50
In terms of the "great wheel of science", statistics are central to the research process (a) only between the hypothesis phase and the observation phase (b) only between the observation phase and the empirical generalization phase (c) only between the theory phase and the hypothesis phase (d) only between the empirical generalization phase and the theory phase
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Business, 22.06.2019 17:30
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