## Choosing a Sample Size - Module 22.1 (Part 2)

This lesson shows what the Margin of Error (MOE) is, to use to calculate the sample size. This comes from the Confidence Intervals we built in the last lesson....

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This lesson shows what the Margin of Error (MOE) is, to use to calculate the sample size. This comes from the Confidence Intervals we built in the last lesson....

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Here we calculate confidence intervals for population proportions and population means....

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This lets us find areas (or probabilities or percents) under the Standard Normal Distribution by calculating a z-score....

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This lesson shows how to get the percent of data that falls within some standard deviations. Remember, 68-95-99.7 !...

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Here we are given a formula for finding the probability of a binomial distribution. Then we display the data using a histogram....

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Combinations are when order (or arrangement) does NOT matter....

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This lesson shows what a permutation is, and how to use that for probability questions....

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Here we go over the formulas from yesterday, and do an application problem....

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This lesson shows what a subset is, a complement, intersection, union, and a who lot more! Oh boy!...

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First recognize that the standard deviations are Unknown. Then, depending on which formula comes on whether the two variances are equal, or not equal....

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Here we use our graphing calculators to calculate a 2 sample Z-Test....

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This is a 2 sample Z-Test, because the population standard deviations are known. Lots of similar language here....

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This should get you ready for your upcoming quiz. Don't forget to look at the various sampling methods too (Mod 20.1). Good luck!...

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This lessons shows how to graph histograms and box plots ("box-and-whisker plots")....

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Here we do a z-test, a t-test, a p-test, and discuss whether to reject the null, or fail to reject the null hypothesis. Several examples to get you ready for your upcoming test....

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Here we discuss uniform distributions, normal distributions, and skewed distributions. We also go over mean, median, standard deviation (how to calculate), Quartile 1 and Quartile 3, along with the Interquartile Range (IQR)....

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This lesson talks about the different data gathering techniques....

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Both parts should get you ready for your upcoming test! :)...

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This lesson gives a few examples how to use a z-test, along with a rejection region, to determine whether to reject the null hypothesis, or fail to reject the null hypothesis....

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This is the first part of hypothesis testing for the mean, when the population standard deviation is known. This is a z-test statistic....

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This is when the population standard deviation is unknown. So, we use the t-test....

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This gives a couple of examples, a left-tailed test, and a two-tailed test. Proportions, p, are always a z-test statistic....

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This will get you ready for your test on Logs and Exponential Equations....

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Nothing like having fun with exponential equations involving word problems. :)...

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This lesson shows how taking logs of both sides of an equation helps solve equations when the variable is in the exponent. Love this lesson!!...

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Here we use our properties of logs to apply them to word problems....

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This lesson shows you several ways to convert logs to a single log. Many properties shown will help you with this. Yeah!...

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Here we cover how to graph logarithmic functions, and their transformations....

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This lesson shows how the exponential function (Module 13) and a Log function are inverses of each other. There are two application problems that relate to this....

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This lesson will be presented in two parts. Here, we discover how to manipulate log functions....

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This lesson shows compound interest that is compounded annually, and compounded more than once a year....

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The Base "e" is also called the "Natural Number." This feature is located on your scientific calculators, above the button "ln" or "LN," which is next to the "log" or "LOG" button....

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Here, we are graphing exponential decay functions. It's very similar to our "trick" in exponential growth functions....

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This lesson shows you a "trick" to graphing these exponential growth functions....

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Here we calculate the minimum sample size for a percent of a confidence interval....

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Here we use the population proportion, and "p-hat" to calculate a confidence interval....

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This gives another example to use the t-distribution, when the population standard deviation is NOT known....

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Here we use the t-distribution when the standard deviation is NOT known....

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This lesson covers all the formulas, and examples of how to use them. Good luck on your test! :-)...

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Here we calculate the confidence interval when the standard deviation is known (using z-score). We also calculate the necessary sample sizes to fit into our c-confidence percentage....

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This lesson shows how to calculate the Margin of Error (MOE) for our Confidence Interval....

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This lesson goes really fast. Just make sure the absolute value of r is less than 1. If it's greater than or equal to 1, then you can't use the (fast) formula....

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Here we find the sum of a finite geometric series....

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This lesson shows the formula with Arithmetic Series. This is my favorite one of the module!...

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This lesson shows how to write both explicit and recursive formulas for G.S., along with graphing. (PLEASE do your homework in this module!!!)...

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(PLEASE DO YOUR HOMEWORK for this module!) This lesson is the application part of Arithmetic Sequences. Have fun!! :-)...

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Here, we discover the "Explicit rule" and the "Recursive rule" for Arithmetic sequences, and graph. This text begins the sequences at both 0 and 1....

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This lesson is a review of Rational Expressions and Equations. Good luck on your test! :)...

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