Over doses from opioids have captured the national spotlight. Rightly so - they kill nearly 30,000 Americas a year and cause more than 1 million hospitalizations. Howev he misuse of over-the-counter pain medications (e.g. Tylenol, Advil, Aleve) can cause stomach bleeding, ulcers, liver disease and, in some cases, death. Approximately 8 Americans use these medications to relieve headaches, backaches, sore muscles, and reduce fever but they are unaware oft dangers if the drugs are not used correc A random sample (n=101) of adults were given a questionnaire to ask the question "How often do you use pain medication in one day?". Using the output, histogram, b whisker plot, and the QQ Plot attached - check the assumption of normality for this data. PainNormalitylnformation 200405.pdf 1. continuous 2. discrete 3. H-spread The assumption of normality was checked by comparing the the median. and 4. kurtosis v This suggests that the distribution is slightly skewed. 5. left v The Lis between the acceptable range of -3 and +3. 6. is 7. is not v The tail of the histogram is slightly longer. 8. mean v The median is in the center of 9. median The QQ plot has a stepwise appearance because the data is 10. negatively 11. positively v There enough evidence that the data is Normal. 12. right 13. theoretical line
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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