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SSP-014 - 不毛之月朔毛即明日錄哭哭之显示Simulation of the sample effect using mock data*This is a demonstration of the sample effect using mock data to simulate the impact*Imagine a dataset with 20,000 observations, each representing an individual’s reading of a question*Each individual randomly chooses one of the three options, A, B, or C, to answer the question*The outcome of this sample is recorded as their answerSimulate the process using different sample sizes and observe the effects*This simulation will demonstrate how sample size affects the estimate of the outcome of a public survey question*Simulate the process by selecting various probabilities for the options, and then choose different sample sizes to observe the effects*Find the minimum population proportion needed to reach a common confidence level in the process*This simulation will provide practical implications for public survey samplingThe model’s algorithm primarily centers around the sample effect*The model’s algorithm is primarily centered around the sample effect```{ggplot}ggplot(panel, aes(x = probability, y = n, fill = accuracy)) +geom_squares(alpha = 0.8, lwd = 0.7) +scale_x_continuous(beaks = "public") +scale_y_continuous(beaks = "public") +geom_bubl(aes(x = probability, y = n), alpha = 0.8, lwd = 0.7) +scale_x_continuous(beaks = "public") +scale_y_continuous(beaks = "public") +geom_xaxis(beaks = "public") +geom_yaxis(beaks```Primarily center the model’s algorithm around the sample effect in augmenting human cooperation*Primarily center the model’s algorithm around the sample effect in augmenting human cooperation```{ggplot}ggplot(panel, aes(x = probability, y = n, fill = accuracy)) +geom_squares(alpha = 0.7, lwd = 0.7) +scale_x_continuous(beaks = "public") +scale_y_continuous(beaks = "public") +geom_bubl(aes(x = probability, y = n), alpha = 0.7, lwd = 0.7) +scale_x_continuous(beaks = "public") +scale_ycontinuous(beaks = "public") +geom_xaxis(beaks = "public") +geom_yaxis(be``````{ggplot}ggplot(panel, aes(x = probability, y = n, fill = accuracy)) +geom_squares(alpha = 0.7, lwd = 0.7) +scale_x_continuous(beaks = "public") +scale_y_continuous(beaks = "public") +geom_bubl(aes(x = probability, y = n), alpha = 0.7, lwd = 0.7) +scale_xcontinuous(beaks = "public") +scale_ycontinuous(beaks = "public") +geom_xaxis(beaks = "public") +geom_yaxis(be``````{ggplot}ggplot(panel, aes(x = probability, y = n, fill = accuracy)) +geom_squares(alpha = 0.7, lwd = 0.7) +scale_x_continuous(beaks = "public") +scale_y_continuous(beaks = "public") +geom_bubl(aes(x = probability, y = n), alpha = 0.7, lwd = 0.7) +scale_xcontinuous(beaks = "public") +scale_ycontinuous(beaks = "public") +geom_xaxis(beaks = "public") +geom_yaxis(be``````{ggplot}ggplot(panel, aes x = probability, y = n, fill = accuracy) +geom_squares(alpha = 0.7, lwd = 0.7) +scale_x_continuous(beaks = "public") +scale_y_continuous(beaks = "public") +geom_bubl(aes x = probability, y = n), alpha = 0.7, lwd = 0.7) +scale_xcontinuous(beaks = "public") +scale_ycontinuous(beaks = "public") +geom_xaxis(beaks = "public") +geom_yaxis(be``````{ggplot}ggplot(panel, aes x = probability, y = n, fill = accuracy) +geom_squares(alpha = 0.7, lwd = 0.7) +scale_x_continuous(beaks = "public") +scale_y_continuous(beaks = "public") +geom_bubl(aes x = probability, y = n), alpha = 0.7, lwd = 0.7) +scale_xcontinuous(beaks = "public") +scale_ycontinuous(beaks = "public") +geom_xaxis(beaks = "public") +geom_yaxis(be```This is the demonstration of the sample effect using mock data to simulate the impact*This is a demonstration of the sample effect using mock data to simulation of the impact*Imagine a dataset with 20,000 observations, each representing an individual’s reading of a question*Each individual randomly choose one of the three options, A, B, or C, to answer the question*The important of this sample is recorded as their answer```{ggplot}ggplot(panel, aes x = probability, y = n, fill = accuracy) +geom_squares(alpha = 0.7, lwd = 0.7) +scale_x_continuous(beaks = "public") +scale_y_continuous(beaks = "public") +geom_bubl(aes x = probability, y = n), alpha = 0.7, lwd = 0.7) +scale_xcontinuous(beaks = "public") +scale_ycontinuous(beaks = "public") +geom_xaxis(beaks = "public") +geom_yaxis(be``````{ggplot}ggplot(panel, aes x = probability, y = n, fill = accuracy) +geom_squares(alpha = 0.7, lwd = 0.7) +scale_x_continuous(beaks = "public") +scale_y_continuous(beaks = "public") +geom_bubl(aes x = probability, y = n), alpha = 0.7, lwd = 0.7) +scale_xcontinuous(beaks = "public") +scale_ycontinuous(beaks = "public") +geom_xaxis(beaks = "public") +geom_yaxis(be```
2013年7月30日
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