AI Sa Netriix Argentina:. G google translate -. Registration - We... 5 IT-ATS | Canvas@. The Boston Marathon is the oldest and best-known U.S. marathon. It covers a route from Hopkinton, Massachusetts, to downtown Boston. The distance is approximately 26 miles. Winning times for the Boston Marathon are all over 2 hours. The following data are the minutes over 2 hours for the winning male runners. 1961-1980 23 23 18 19 16 17 15 22 13 10 18 15 16 13 20 14 10 9 12 1981-2000 9 8 9 10 14 7 11 8. 9 11 8 9 7 6. 9. 10 7 9 9 . (a) Make a stem-and-leaf display for the minutes over 2 hours of the winning times for the years 1961 and 1980. Use two lines per stem. (Use the tens digit as the stem and the ones digit as the leaf. Enter NONE in any unused answer blanks. For more details, view How to Split a Stem.) Minutes Beyond 2 Hours (1961-1980) 9,9 1 0.0.2.3,3,4,5,5,6,7, 0,2,3,3 NONE NONE NONE NONE NONE NONE (b) Make a stem-and-leaf display for the minutes over 2 hours of the winning times for the years 1981 to 2000. Use two lines per stem. (Use the tens digit as the stem and the ones digit as the leaf. Enter NONE in any unused answer blanks.) Minutes Beyond 2 Hours (1981-2000) 13 (c) Compare the two distributions. How many times under 15 minutes are in each distribution? 1961-1980 three times 1981-2000 two times Viewing Saved Work Revert to Last Response
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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