A warehouse manager wants to determine if there are productivity differences among his three shifts (morning shift, evening shift, or night shift). He measures the average number of units shipped per shift over the course of a month. He uses an ANOVA to analyze the difference among the shifts. He determined that the F value observed indicated a non-significant difference. What can he conclude from this? Data show that there is a significance difference among the 3 shifts Data show that the morning shift ships more units than the afternoon shift which ships more than the night shift Data does not indicate which shifts are different unless a Tukey's HSD test is also conducted. Data shows that the shifts have equivalent productivity

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.