data_source: KorLogicStatisticalReasoning

prompt: Symbolize: 13 out of 37 samples show daily exercise (denoted as K). Apply P-Generalization Rule. Format your answer as [[P(K, 13, 37)]].

symbol: K

desc: daily exercise


data_source: KorLogicStatisticalReasoning

prompt: Represent symbolically: All 36 sampled subjects have satisfied with facilities (denoted as S). Apply U-Generalization Rule. Format your answer as [[U(S, 36)]].

symbol: S

desc: satisfied with facilities


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 23 subjects, 22 demonstrated defective (denoted as K). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

desc: defective


data_source: KorLogicStatisticalReasoning

prompt: In a study, 29 subjects were randomly selected and all demonstrated speeding behavior (denoted as K). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

desc: speeding behavior


data_source: KorLogicStatisticalReasoning

prompt: Represent symbolically: All 35 sampled subjects have defective (denoted as Q). Apply U-Generalization Rule. Format your answer as [[U(Q, 35)]].

symbol: Q


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 18 subjects, 10 demonstrated healthy (denoted as U). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: U

desc: healthy


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 48 subjects, 31 demonstrated daily exercise (denoted as G). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: G


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 17 subjects, 16 demonstrated daily exercise (denoted as R). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: R


data_source: KorLogicStatisticalReasoning

prompt: Two samples show daily exercise (denoted as A): Sample 1 has 1 out of 19, Sample 2 has 10 out of 13. Apply C-Reasoning Rule. Format your answer as [[C(A, 1/19, 10/13)]].

symbol: A


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 9 subjects, 5 demonstrated healthy (denoted as Q). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: Symbolize: 17 out of 27 samples show satisfied with facilities (denoted as D). Apply P-Generalization Rule. Format your answer as [[P(D, 17, 27)]].

symbol: D


data_source: KorLogicStatisticalReasoning

prompt: Symbolize: 21 out of 41 samples show speeding behavior (denoted as Y). Apply P-Generalization Rule. Format your answer as [[P(Y, 21, 41)]].

symbol: Y


data_source: KorLogicStatisticalReasoning

prompt: Two samples show positive response (denoted as Q): Sample 1 has 19 out of 35, Sample 2 has 23 out of 26. Apply C-Reasoning Rule. Format your answer as [[C(Q, 19/35, 23/26)]].

desc: positive response


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 28 subjects, 11 demonstrated math score above 90 (denoted as C). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: C

desc: math score above 90


data_source: KorLogicStatisticalReasoning

prompt: Two samples show positive response (denoted as G): Sample 1 has 2 out of 46, Sample 2 has 18 out of 39. Apply C-Reasoning Rule. Format your answer as [[C(G, 2/46, 18/39)]].


data_source: KorLogicStatisticalReasoning

prompt: In a study, 5 subjects were randomly selected and all demonstrated satisfied with facilities (denoted as E). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: E


data_source: KorLogicStatisticalReasoning

prompt: Two samples show healthy (denoted as W): Sample 1 has 8 out of 9, Sample 2 has 8 out of 28. Apply C-Reasoning Rule. Format your answer as [[C(W, 8/9, 8/28)]].

symbol: W


data_source: KorLogicStatisticalReasoning

prompt: In a study, 50 subjects were randomly selected and all demonstrated daily exercise (denoted as C). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: In a study, 19 subjects were randomly selected and all demonstrated healthy (denoted as L). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: L


data_source: KorLogicStatisticalReasoning

prompt: In a study, 20 subjects were randomly selected and all demonstrated math score above 90 (denoted as Z). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: Z


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 9 subjects, 2 demonstrated defective (denoted as U). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: Represent symbolically: All 46 sampled subjects have defective (denoted as K). Apply U-Generalization Rule. Format your answer as [[U(K, 46)]].


data_source: KorLogicStatisticalReasoning

prompt: Symbolize: 31 out of 38 samples show daily exercise (denoted as V). Apply P-Generalization Rule. Format your answer as [[P(V, 31, 38)]].

symbol: V


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 35 subjects, 30 demonstrated positive response (denoted as E). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: In a study, 43 subjects were randomly selected and all demonstrated math score above 90 (denoted as P). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: P


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 19 subjects, 14 demonstrated positive response (denoted as R). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: Two samples show defective (denoted as J): Sample 1 has 11 out of 38, Sample 2 has 10 out of 20. Apply C-Reasoning Rule. Format your answer as [[C(J, 11/38, 10/20)]].

symbol: J


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 20 subjects, 8 demonstrated positive response (denoted as R). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 40 subjects, 11 demonstrated positive response (denoted as J). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 15 subjects, 12 demonstrated daily exercise (denoted as U). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 45 subjects, 16 demonstrated defective (denoted as J). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: In a study, 30 subjects were randomly selected and all demonstrated positive response (denoted as G). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 40 subjects, 25 demonstrated math score above 90 (denoted as W). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: Two samples show defective (denoted as C): Sample 1 has 1 out of 29, Sample 2 has 2 out of 6. Apply C-Reasoning Rule. Format your answer as [[C(C, 1/29, 2/6)]].


data_source: KorLogicStatisticalReasoning

prompt: In a study, 41 subjects were randomly selected and all demonstrated math score above 90 (denoted as U). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: Represent symbolically: All 12 sampled subjects have positive response (denoted as K). Apply U-Generalization Rule. Format your answer as [[U(K, 12)]].

symbol: K


data_source: KorLogicStatisticalReasoning

prompt: Represent symbolically: All 24 sampled subjects have positive response (denoted as X). Apply U-Generalization Rule. Format your answer as [[U(X, 24)]].

symbol: X


data_source: KorLogicStatisticalReasoning

prompt: Two samples show daily exercise (denoted as G): Sample 1 has 8 out of 22, Sample 2 has 2 out of 7. Apply C-Reasoning Rule. Format your answer as [[C(G, 8/22, 2/7)]].


data_source: KorLogicStatisticalReasoning

prompt: Two samples show math score above 90 (denoted as U): Sample 1 has 14 out of 26, Sample 2 has 11 out of 25. Apply C-Reasoning Rule. Format your answer as [[C(U, 14/26, 11/25)]].


data_source: KorLogicStatisticalReasoning

prompt: In a study, 43 subjects were randomly selected and all demonstrated positive response (denoted as Q). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: Q


data_source: KorLogicStatisticalReasoning

prompt: Represent symbolically: All 46 sampled subjects have positive response (denoted as Z). Apply U-Generalization Rule. Format your answer as [[U(Z, 46)]].


data_source: KorLogicStatisticalReasoning

prompt: In a study, 49 subjects were randomly selected and all demonstrated satisfied with facilities (denoted as M). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: M


data_source: KorLogicStatisticalReasoning

prompt: Symbolize: 8 out of 20 samples show daily exercise (denoted as D). Apply P-Generalization Rule. Format your answer as [[P(D, 8, 20)]].


data_source: KorLogicStatisticalReasoning

prompt: In a study, 50 subjects were randomly selected and all demonstrated math score above 90 (denoted as K). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: Two samples show daily exercise (denoted as Z): Sample 1 has 4 out of 9, Sample 2 has 39 out of 50. Apply C-Reasoning Rule. Format your answer as [[C(Z, 4/9, 39/50)]].


data_source: KorLogicStatisticalReasoning

prompt: Symbolize: 44 out of 48 samples show satisfied with facilities (denoted as Q). Apply P-Generalization Rule. Format your answer as [[P(Q, 44, 48)]].


data_source: KorLogicStatisticalReasoning

prompt: Two samples show speeding behavior (denoted as O): Sample 1 has 3 out of 17, Sample 2 has 16 out of 17. Apply C-Reasoning Rule. Format your answer as [[C(O, 3/17, 16/17)]].

symbol: O


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 14 subjects, 11 demonstrated daily exercise (denoted as L). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: In a sample of 11 subjects, 3 demonstrated defective (denoted as U). Using P-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: U


data_source: KorLogicStatisticalReasoning

prompt: Two samples show speeding behavior (denoted as M): Sample 1 has 20 out of 20, Sample 2 has 4 out of 34. Apply C-Reasoning Rule. Format your answer as [[C(M, 20/20, 4/34)]].


data_source: KorLogicStatisticalReasoning

prompt: In a study, 33 subjects were randomly selected and all demonstrated defective (denoted as H). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: H


data_source: KorLogicStatisticalReasoning

prompt: Symbolize: 14 out of 42 samples show speeding behavior (denoted as Q). Apply P-Generalization Rule. Format your answer as [[P(Q, 14, 42)]].


data_source: KorLogicStatisticalReasoning

prompt: Symbolize: 40 out of 41 samples show math score above 90 (denoted as I). Apply P-Generalization Rule. Format your answer as [[P(I, 40, 41)]].

symbol: I


data_source: KorLogicStatisticalReasoning

prompt: In a study, 46 subjects were randomly selected and all demonstrated speeding behavior (denoted as Y). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: Y


data_source: KorLogicStatisticalReasoning

prompt: Represent symbolically: All 40 sampled subjects have speeding behavior (denoted as G). Apply U-Generalization Rule. Format your answer as [[U(G, 40)]].

symbol: G


data_source: KorLogicStatisticalReasoning

prompt: In a study, 36 subjects were randomly selected and all demonstrated math score above 90 (denoted as S). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: S


data_source: KorLogicStatisticalReasoning

prompt: Represent symbolically: All 6 sampled subjects have speeding behavior (denoted as U). Apply U-Generalization Rule. Format your answer as [[U(U, 6)]].


data_source: KorLogicStatisticalReasoning

prompt: In a study, 17 subjects were randomly selected and all demonstrated speeding behavior (denoted as N). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].

symbol: N


data_source: KorLogicStatisticalReasoning

prompt: Represent symbolically: All 46 sampled subjects have speeding behavior (denoted as U). Apply U-Generalization Rule. Format your answer as [[U(U, 46)]].


data_source: KorLogicStatisticalReasoning

prompt: Two samples show defective (denoted as B): Sample 1 has 23 out of 46, Sample 2 has 15 out of 41. Apply C-Reasoning Rule. Format your answer as [[C(B, 23/46, 15/41)]].

symbol: B


data_source: KorLogicStatisticalReasoning

prompt: Two samples show positive response (denoted as W): Sample 1 has 30 out of 34, Sample 2 has 2 out of 17. Apply C-Reasoning Rule. Format your answer as [[C(W, 30/34, 2/17)]].

symbol: W


data_source: KorLogicStatisticalReasoning

prompt: In a study, 34 subjects were randomly selected and all demonstrated daily exercise (denoted as Y). Using U-Generalization Rule, estimate the proportion. Format your answer as [[number%]].


data_source: KorLogicStatisticalReasoning

prompt: Symbolize: 16 out of 19 samples show healthy (denoted as Z). Apply P-Generalization Rule. Format your answer as [[P(Z, 16, 19)]].

symbol: Z


data_source: KorLogicStatisticalReasoning

prompt: Two samples show healthy (denoted as M): Sample 1 has 11 out of 36, Sample 2 has 3 out of 10. Apply C-Reasoning Rule. Format your answer as [[C(M, 11/36, 3/10)]].