A researcher studies water clarity at the same location in a lake on the same dates during the course of a year and repeats the measurements on the same years later. The researcher immerses a weighted disk painted black and white and measures the depth (in inches) at which it is no longer visible. The colled given in the table below. Complete parts (a) through (c) below. Observation Date Initial Depth, X, 1 2 3 4 5 1/25 3/19 5/30 7/3 9/13 11/7 61.6 38.3 49.5 67.2 48.1 44.2 Depth Five Years Later, Y; 69.1 38.2 54.1 69.8 54.7 46.1 & C. Reject Ho- There is sufficient evidence at the a= 0.05 level of significance to conclude that the clarity of the lake is improving. O D. Do not reject Ho. There is not sufficient evidence at the a= 0.05 level of significance to conclude that the clarity of the lake is improving.-

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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.