104 23. Data is provided on a random sample of gymnasts competing the 2012 London Olympics. Answer the following questions to determine if there is a difference in the age distributions for male and female gymnasts. Males: 26, 24, 26, 23, 20, 20, 23, 19, 33, 22, 18, 26 Females: 17, 22, 24, 20, 25, 16, 20, 20, 20, 16, 16, 17, 15, 17, 16 (a) Find and compare the means for each group. (b) Find and compare the medians for each group. (c) Find and compare the standard deviations for each group. (d) Find and compare the IQR's for each group. (e) In general, which group of athletes is older? Which has more variability? 24. Consider the boxplots from three samples in Figure 7.6. Figure 7.6: Comparing Boxplots (a) Which sample has the largest range? (b) Which sample has the largest interquartile range? (c) Which sample(s) is/are symmetric? (d) Which sample has the smallest median? 25. Macaws have lifespans similar to humans. Choosing such a bird as your pet could very well be a lifetime commitment! The sample below represents lifespans of twenty Macaws. 28, 41, 45, 56, 58, 67, 67, 68, 69, 72, 72, 73, 80, 80, 84, 85, 86, 87, 87, 91 (a) Check if there are outliers in the data. (b) Draw a modified boxplot. (c) What does the boxplot suggest about the shape of the data? Sample 2 Sample 3
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.
Question 25 a,b and c
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