For those subjects who received ful

For those subjects who received full cost data initially, the following explanation of fixed overhead was presented:
d. Fixed factory overhead cost— a per-unit allocation determined by dividing total fixed overhead (all those indirect manufacturing costs that do not vary in total over wide ranges of volume) by number of units produced. Of course, fixed factory overhead per unit will fluctuate solely because of number of units produced.
3. Nature of competition refers to the speed with which important competitors will be able to follow your company's lead and get their own versions of these products on the market. Your company follows the marketing strategies of both market segmentation and product differentiation to the extent possible, but of course various competitors will sooner or later follow your firm into most markets. To aid in making your pricing decisions, the marketing research department has devised a rough quantification, on a scale from zero to 100, of the nature of such competition.
It may be interpreted as a probability scale, where the upper end (toward 100) represents a high probability that your company will have the market substantially to itself for the next 2 to 3 years (called "market freedom"), and the lower end (toward zero) represents a low probability of market freedom (i.e., a high probability that competitors will move in within 2 to 3 years).
DATA GENERATION
It was considered desirable that the values of elasticity, cost, and competition be uncorrelated so that subjects could be given three "independent" variables on which to base their pricing decisions. It was also desired that the means and standard deviations of the elasticity and competition variables be approximately equal in the variable-cost case and the full-cost case. These properties were achieved by generating
data via the Ohio State Correlated Score Generation Method.'' This algorithm produces n observations on each oik variables, with specified means, standard deviations, and intercorrelations. Further, the observations on each variable are normally distributed. These specifications may be achieved with a small degree of error. Actual means and
standard deviations in the data are presented in table 1. Intercorrelations ranged from -.06 te +.12 in the variable-cost condition and from -.05 to -I-.13 in the full-cost condition. Subjects were told that all intercorrelations were "approximately zero."

Hasil (Bahasa Indonesia) 1:

Untuk mata pelajaran yang menerima data biaya penuh pada awalnya, penjelasan berikut mengenai tetap overhead disajikan: d. tetap biaya operasional pabrik — alokasi per-unit yang ditentukan dengan membagi total overhead (semua orang langsung manufaktur biaya tetap yang tidak berbeda total atas berbagai rentang volume) dengan jumlah unit yang diproduksi. Tentu saja, tetap pabrik overhead per unit akan berfluktuasi semata-mata karena jumlah unit yang diproduksi.3. sifat kompetisi mengacu pada kecepatan yang penting pesaing akan mampu mengikuti memimpin perusahaan Anda dan mendapatkan versi mereka sendiri produk ini di pasar. Perusahaan Anda mengikuti strategi pemasaran segmentasi pasar dan produk diferensiasi sejauh mungkin, tapi tentu saja berbagai pesaing cepat atau lambat akan mengikuti perusahaan Anda ke sebagian besar pasar. Untuk membantu dalam membuat keputusan Anda harga, Departemen penelitian pemasaran telah menyusun kuantifikasi kasar, skala dari nol sampai 100, sifat kompetisi tersebut. Itu bisa ditafsirkan sebagai skala probabilitas, di mana ujung atas (ke arah 100) mewakili probabilitas tinggi bahwa perusahaan Anda akan memiliki pasar substansial untuk itu sendiri selama 2 sampai 3 tahun (disebut "pasar kebebasan"), dan ujung bawah (ke arah nol) mewakili probabilitas rendah pasar kebebasan (yaitu, kemungkinan besar pesaing akan bergerak dalam 2-3 tahun). DATA GENERASI It was considered desirable that the values of elasticity, cost, and competition be uncorrelated so that subjects could be given three "independent" variables on which to base their pricing decisions. It was also desired that the means and standard deviations of the elasticity and competition variables be approximately equal in the variable-cost case and the full-cost case. These properties were achieved by generatingdata via the Ohio State Correlated Score Generation Method.'' This algorithm produces n observations on each oik variables, with specified means, standard deviations, and intercorrelations. Further, the observations on each variable are normally distributed. These specifications may be achieved with a small degree of error. Actual means andstandard deviations in the data are presented in table 1. Intercorrelations ranged from -.06 te +.12 in the variable-cost condition and from -.05 to -I-.13 in the full-cost condition. Subjects were told that all intercorrelations were "approximately zero."