
Review Notes for Midterm II
... H. Multiplicity: General problem in data analysis is that we may be implicitly looking at many things and only notice the interesting patterns. To deal with multiplicity properly, we should determine what our family of tests is (the family of all comparisons we have considered) and use a multiple co ...
... H. Multiplicity: General problem in data analysis is that we may be implicitly looking at many things and only notice the interesting patterns. To deal with multiplicity properly, we should determine what our family of tests is (the family of all comparisons we have considered) and use a multiple co ...
Basic Statistical Terms:
... Basic Statistical Terms: Statistics: refers to the sample A means by which a set of data may be described and interpreted in a meaningful way. A method by which data can be analyzed and inferences and conclusions drawn. ...
... Basic Statistical Terms: Statistics: refers to the sample A means by which a set of data may be described and interpreted in a meaningful way. A method by which data can be analyzed and inferences and conclusions drawn. ...
2.1 answers
... 2.6 Peter’s time was slower than 80% of his previous race times that season, but it was slower than only 50% of the racers at the league championship meet. Because this time was relatively slow for Peter but at the median for the runners in the league championship, Peter must be a good runner. 2.7 ( ...
... 2.6 Peter’s time was slower than 80% of his previous race times that season, but it was slower than only 50% of the racers at the league championship meet. Because this time was relatively slow for Peter but at the median for the runners in the league championship, Peter must be a good runner. 2.7 ( ...
Week 7, Lecture 3, Estimating the population proportion p
... When the random variable of interest is qualitative, the characteristic we usually consider is the proportion of successes. For example, we may be interested in ...
... When the random variable of interest is qualitative, the characteristic we usually consider is the proportion of successes. For example, we may be interested in ...