Species Versicolor Virginica Count 50 50 Mean 55.52 43.22 Median 55.50 44.00 SD 5.519 5.362 Min 45 30 Маx 69 56 Lower Quartile 51 40 Upper Quartile 59 47
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.
Irises Can measurements of the petal length of flowers
be of value when you need to determine the species of a
certain flower? Here are the summary statistics from
measurements of the petals of two species of irises.
(R. A. Fisher, “The Use of Multiple Measurements in
Axonomic Problems.” Annals of Eugenics 7 [1936]:
179–188)a) Make parallel boxplots of petal lengths for the two
species.
b) Describe the differences seen in the boxplots.
c) Write a 95% confidence interval for the difference in
petal length.
d) Explain what your interval means.
e) Based on your confidence interval, is there evidence
of a difference in petal length? Explain.
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