# Probability and statistics

Operational definition (What is it? When is it used?) What is it? An operational definition, when applied to data collection, is a clear, concise detailed definition of a measure. The need for operational definitions is fundamental when collecting all types of data. It is particularly important when a decision is being made about whether something is correct or incorrect, or when a visual check is being made where there is room for confusion. For example, data collected will be erroneous if those completing the checks have different views of what constitutes a fault at the end of a glass panel production line. Defective glass panels may be passed and good glass panels may be rejected.

Amsterdam's solution to the obesity crisis: no fruit juice and enough sleep The city of Amsterdam is leading the world in ending the obesity epidemic, thanks to a radical and wide-reaching programme which is getting results even among the poorest communities that are hardest to reach. Better known for tulips and bicycles, Amsterdam has the highest rate of obesity in the Netherlands, with a fifth of its children overweight and at risk of future health problems. The programme appears to be succeeding by hitting multiple targets at the same time – from promoting tap water to after-school activities to the city refusing sponsorship to events that take money from Coca Cola or McDonalds. It is led by a dynamic deputy mayor with the unanimous backing of the city’s politicians. From 2012 to 2015, the number of overweight and obese children has dropped by 12%.

Basic Statistics: About Incidence, Prevalence, Morbidity, and Mortality - Statistics Teaching Tools - New York State Department of Health What is incidence? Incidence is a measure of disease that allows us to determine a person's probability of being diagnosed with a disease during a given period of time. Therefore, incidence is the number of newly diagnosed cases of a disease. An incidence rate is the number of new cases of a disease divided by the number of persons at risk for the disease. If, over the course of one year, five women are diagnosed with breast cancer, out of a total female study population of 200 (who do not have breast cancer at the beginning of the study period), then we would say the incidence of breast cancer in this population was 0.025.

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9 Things You Should Know Before Intermittent Fasting - Anthony Mychal These days, everyone is all about intermittent fasting. The talk centralizes around the physiological and psychological benefits of skipping meals, like not having to carry around twelve Tupperware containers filled with six meals to last an eight hour shift. And how it increases insulin sensitivity, which, when combined with matterful training, creates an ideal environment for partitioning. (Read: more muscle gained, less fat gained.) Yes, fasting — of all sorts of durations — is something I'm just about two years of experimentation into. And while I've seen incredible physical gains, there are some “things” fasting does that few people talk about.

Biostatistics - Populations Statistical Studies in Populations In order for a study to be performed, the population must be defined. When one studies the extent of diabetes mellitus amongst the Hispanic population of Los Angeles, does that mean both males and females, adults only, persons who have emigrated from Latin America, persons who live just in the city of Los Angeles, etc? How Intermittent Fasting Can Help You Lose Weight There are many different ways to lose weight. One that has become popular in recent years is called intermittent fasting (1). This is a way of eating that involves regular short-term fasts. Fasting for short periods helps people eat fewer calories, and also helps optimize some hormones related to weight control.

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