Margin Of Error Calculator Ti 84
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How To Find Sample Size With Margin Of Error On Ti 84
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How To Find Margin Of Error With Confidence Interval On Ti-84
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How To Find Confidence Interval For Population Proportion On Ti 84
Yahoo Products International Argentina Australia Brazil Canada France Germany India Indonesia Italy Malaysia Mexico New Zealand Philippines Quebec Singapore Taiwan Hong construct the confidence interval Kong Spain Thailand UK & Ireland Vietnam Espanol About About Answers Community Guidelines Leaderboard Knowledge Partners Points & Levels Blog Safety Tips Education & Reference Homework Help Next How to find margin of error for https://www.youtube.com/watch?v=H1VXfGQ2KGo Statistics class using TI-84? n=550 x=220 95% confidence I need the margin of error for these above values. Please tell me the steps to find them with the TI-84 calculator. Thanks. Follow 2 answers 2 Report Abuse Are you sure you want to delete this answer? Yes No Sorry, something has gone wrong. Trending Now Dianna Agron Willa Holland Tyler Perry Gretchen Mol Mike Pence Psoriatic Arthritis Symptoms David https://answers.yahoo.com/question/index?qid=20100401004120AAYMtyG Bowie Mortgage Calculator TV Sale Stock market Answers Best Answer: Okay! E=Za/2 (squareroot (p^ x q^ / n)) So... p^ = x/n = 220/550 = .4 q^ = 1 - p^ = 1 - .4 = .6 Za/2 = .95 + .5/2 = .975 *Go into you calculator 2nd > VARS > 3 invNorm > .975 > ) > ENTER = 1.96 So... .4*.6 = .24 .24/550 = .0209 squareroot ANS multiply by 1.96 E=.0409 Ta Da! Maybe someone else can explain it better? >.< Source(s): Phoebe · 7 years ago 1 Thumbs up 2 Thumbs down Comment Add a comment Submit · just now Report Abuse Margin Of Error E Calculator Source(s): https://shorte.im/a8HIB sauvageot · 6 days ago 0 Thumbs up 0 Thumbs down Comment Add a comment Submit · just now Report Abuse Add your answer How to find margin of error for Statistics class using TI-84? n=550 x=220 95% confidence I need the margin of error for these above values. Please tell me the steps to find them with the TI-84 calculator. Thanks. Add your answer Source Submit Cancel Report Abuse I think this question violates the Community Guidelines Chat or rant, adult content, spam, insulting other members,show more I think this question violate
test AP formulas FAQ AP study guides AP calculators Binomial Chi-square f Dist Hypergeometric Multinomial Negative binomial Normal Poisson t Dist Random numbers Probability Bayes rule Combinations/permutations Factorial Event counter Wizard Graphing Scientific Financial Calculator books AP calculator review http://stattrek.com/estimation/margin-of-error.aspx?Tutorial=AP Statistics AP study guides Probability Survey sampling Excel Graphing calculators Book reviews Glossary AP practice exam Problems and solutions Formulas Notation Share with Friends Margin of Error In a confidence interval, the range of values above and below the sample statistic is called the margin of error. For example, suppose we wanted to know the percentage of adults that exercise daily. We could devise a sample design to ensure that our how to sample estimate will not differ from the true population value by more than, say, 5 percent (the margin of error) 90 percent of the time (the confidence level). How to Compute the Margin of Error The margin of error can be defined by either of the following equations. Margin of error = Critical value x Standard deviation of the statistic Margin of error = Critical value x Standard error of the statistic how to find If you know the standard deviation of the statistic, use the first equation to compute the margin of error. Otherwise, use the second equation. Previously, we described how to compute the standard deviation and standard error. How to Find the Critical Value The critical value is a factor used to compute the margin of error. This section describes how to find the critical value, when the sampling distribution of the statistic is normal or nearly normal. The central limit theorem states that the sampling distribution of a statistic will be nearly normal, if the sample size is large enough. As a rough guide, many statisticians say that a sample size of 30 is large enough when the population distribution is bell-shaped. But if the original population is badly skewed, has multiple peaks, and/or has outliers, researchers like the sample size to be even larger. When the sampling distribution is nearly normal, the critical value can be expressed as a t score or as a z score. When the sample size is smaller, the critical value should only be expressed as a t statistic. To find the critical value, follow these steps. Compute alpha (α): α = 1 - (confidence level / 100) Find the critical probability (p*): p* = 1 - α/2 To express