By Deborah J. Rumsey
Information necessities For Dummies not just presents scholars enrolled in statistics I with a good high-level assessment of key innovations, however it additionally serves as a reference or refresher for college kids in upper-level records classes. freed from overview and ramp-up fabric, records necessities For Dummies sticks to the purpose, with content material enthusiastic about key path themes basically. It offers discrete factors of crucial strategies taught in a standard first semester college-level facts direction, from odds and blunder margins to self belief durations and conclusions. This advisor is usually an ideal reference for folks who have to overview severe data recommendations as they assist highschool scholars with homework assignments, in addition to for grownup inexperienced persons headed again into the school room who simply want a refresher of the middle concepts.The necessities For Dummies SeriesDummies is proud to offer our new sequence, The necessities For Dummies. Now scholars who're prepping for tests, getting ready to review new fabric, or who simply want a refresher could have a concise, easy-to-understand evaluation consultant that covers a complete path via concentrating exclusively at the most vital innovations. From algebra and chemistry to grammar and Spanish, our specialist authors concentrate on the talents scholars so much have to achieve a topic.
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Additional resources for Statistics Essentials For Dummies (For Dummies (Math & Science))
Sample text
3. Is the probability of success the same for each trial? Because the coin is fair the probability of success (getting a head) is p = 1//2 for each trial. You also know that 1 - 1//2 = 1//2 is the probability of failure (getting a tail) on each trial. Condition 3 is met. 4. Are the trials independent? We assume the coin is being flipped the same way each time, which means the outcome of one flip doesn't affect the outcome of subsequent flips. Condition 4 is met. Non-binomial examples Because the coin-flipping example meets the four conditions, the random variable X, which counts the number of successes (heads) that occur in 10 trials, has a binomial distribution with n = 10 and p = 1//2.
Pie Charts A pie chart takes categorical data and shows the percentage of individuals that fall into each category. The sum of all the slices of the pie should be 100% or close to it (with a bit of round-off error). Because a pie chart is a circle, categories can easily be compared and contrasted to one another. The Florida lottery uses a pie chart to report where your money goes when you purchase a lottery ticket (see Figure 3-1). You can see that half of Florida lottery revenues (50 cents of every dollar spent) goes to prizes, and 38 cents of every dollar goes to education.
Figure 3-1: Florida lottery expenditures (fiscal year 2001-2002). To evaluate a pie chart for statistical correctness: Check to be sure the percentages add up to 100% or close to it (any round-off error should be very small). Beware of slices of the pie called "other" that are larger than many of the other slices. This shows a lack of detail in the information gathered. A pie chart only shows the percentage in each group, not the number in each group. Always ask for or look for a report of the total size of the data set.
