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Tag Archives: Descriptive statistics
Making sense of Powerball data
Collecting data on the Powerball lottery depends on one’s perspective. Of course, for anyone who purchased a ticket, the first set of data points would be the winning numbers – checking to see if the numbers on the ticket match … Continue reading
Posted in Descriptive statistics, Games of chance
Tagged Descriptive statistics, Lottery, Powerball
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Two Statisticians in a Battlefield
Two soldiers, both statisticians, were fighting side by side in a battlefield. They spotted an enemy soldier and they both fired their rifles. One statistician soldier fired one foot to the left of the enemy soldier and the other statistician … Continue reading
The Tax Return of Mitt Romney
Mitt Romney is currently a candidate for the 2012 Republican Party nomination for U.S. President. He recently, bowed to pressure from another presidential candidate in the Republican Party, had to release his past tax returns. The release of these tax … Continue reading
Another Look at LA Rainfall
In two previous posts, we examined the annual rainfall data in Los Angeles (see Looking at LA Rainfall Data and LA Rainfall Time Plot). The data we examined in these two post contain 132 years worth of annual rainfall data … Continue reading
Is College Worth It?
Is college worth it? This was the question posed by the authors of the report called College Majors, Unemployment and Earnings, which was produced recently by The Center on Education and the Workforce. We do not plan on giving an … Continue reading
Which Car Rental Company Is More Expensive, Budget or Avis?
Any “budget” conscious consumer/traveler would want to find a good deal wherever and whenever he or she can, especially when it comes to airfare and rental cars. In tough economic times, bargain hunting is the norm rather the exception. This … Continue reading
Posted in Sampling Distributions, Statistical Inference, Statistics
Tagged Alternative Hypothesis, Confidence Interval, Descriptive statistics, Introduction to statistics, Introductory statistics, Matched Pairs ttest, Null Hypothesis, OneSample tProcedures, OneSample ttest, pvalue, Statistical Inference, ttest
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Comparing Growth Charts
Suppose both an 8year old boy and a 10year old boy are 54 inches tall (four feet six inches). Physically they are of the same heights. But a better way to compare is to find out where each boy stands … Continue reading
Food scientists need to make sense of numbers
Food – the part of the economy that encompasses the production, the processing and the marketing of foods – is big business. In fact, the successes of the food industry depend in no small measure on the use of statistics. … Continue reading →