5. This graph shows the total payment amounts in 2011 (in thousands of US$) for a random sample of 400 US physicians who received payments from any of 8 major pharmaceutical companies in 2011. The vertical axis represents the percent of physicians. (Source: Propublica "Dollars for Docs" Online Database) Physician Payments from 8 Pharmaceutical Companies Random Sample of US Physicians, 2011 (n-400) Sample Summary Statisties (n=400)) (estimates in thousands of dollars) Mean (X ): 10 Standard Deviation (s): 17 Range: 0.1 to 121 Percentiles: 2.5th: 0.3 25th: 1.5 50h: 3.6 75th: 10 97.5th: 74 100 125 Payment Amount (Thousands of Dollars) 50 75 150 Which of the following statements best tells the story of these data? The percentage of physicians receiving a given payment amount was relatively similar for all values across the range of payment values. The majority of physicians received relatively "small" payments (<$25,000) and a smaller percentage received payments greater than this majority. Physicians did not receive adequate payments from the pharmaceutical companies. The majority of physicians received relatively "large" payments (> $25,000) and a smaller percentage received payments less than this majority. 08 09
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
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