## Finding Outliers & Side-by-Side Modefied Boxplots

We compare two amusement park rides wait times using side-by-side boxplots. We then modify the boxplots to show upper outliers and justify why there are outliers in the data....

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We compare two amusement park rides wait times using side-by-side boxplots. We then modify the boxplots to show upper outliers and justify why there are outliers in the data....

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We first list all the steps for gathering a simple random sample (SRS). These include numbering all the students in the class, then using a random number generator randInt or randIntNoRep to select five random students. We also use a table of random digit...

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When your scatterplot and residual plot suggests a non-linear relationship. You can transform the data using logarithms to achieve linearity. In this video we use the List function on a TI-84 Plus to first transform the response variable by taking its log...

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When your scatterplot and residual plot suggests a non-linear relationship. You can transform the data using logarithms to achieve linearity. In this video we use the List function on a TI-84 Plus to first transform the response variable by taking its log...

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Thanks to generous backers of the Kickstarter campaign, the Normal Distribution Curve Rubber Stamp is now available on Amazon: http://amzn.to/2H24KzK...

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This problem is from the following book: goo.gl/t9pfIj We have a table of paired data and find the difference using the list function on our TI-84 graphing calculator. We then use the four step solving process (state, plan, do, conclude) to perform a sig...

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This problem is from the following book: goo.gl/t9pfIj Using a random sample, we run a t-test on raw data for two-sided significance test. We use the 4-step solving process that includes stating hypotheses, checking conditions, calculating our test stati...

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This problem is from the following book: goo.gl/t9pfIj We use a confidence interval to help us determine if there is sufficient evidence to reject the null hypothesis in a significance test. A confidence interval of confidence level C corresponds to a al...

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This problem is from the following book: goo.gl/t9pfIj First we identify issues with a study and determine causation cannot be concluded due to the presence of lurking variables (which might confound with the explanatory variable). Next we check the cond...

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This problem is from the following book: goo.gl/t9pfIj We use a hypotheses (significance) test to determine if a teacher is dismissing rows of students to lunch at random. This problem really follows a binomial setting, but our sample size is large enoug...

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This problem is from the following book: goo.gl/t9pfIj We do a t-test on a TI-84 calculator by first following the four step process (state, plan, do, conclude). We state hypotheses and the significance level, we check conditions (random, independent, no...

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This problem is from the following book: goo.gl/t9pfIj We use the four step process to do a significance test (one sided z test for population proportion). We check the conditions, the calculate the test statistics by both calculator and hand. Finally, w...

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This problem is from the following book: goo.gl/t9pfIj The first step of a statistical significance test is to define your parameter of interest and state the hypotheses. The null hypothesis (or Ho) is a statement of equality, the current status quo. The...

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This problem is from the following book: goo.gl/t9pfIj We use list on a TI-84 Plus to subtract pre and post test scores. This results in a list of the differences. We then use a t-Interval to estimate the true mean difference in the scores (posttest - pr...

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This problem is from the following book: goo.gl/t9pfIj Will the company's budget be enough to create a confidence interval at the desired margin or error and confidence level. We look a couple of approaches and also determine the maximum confidence with ...

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This problem is from the following book: goo.gl/t9pfIj In this video we take a sample of 20 values and construct a one sample t-interval. We use a TI-84 plus to check the normality condition and construct the confidence interval. This video covers the en...

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This problem is from the following book: goo.gl/t9pfIj Increasing the sample size with result in a more percise margin of error (ME). If a claimed parameter value is not contained in a confidence interval, you have statistically convincing evidence the p...

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This problem is from the following book: goo.gl/t9pfIj We start by identifying the population, parameter, sample, and statistic. Then we construct a t-interval for population mean. We follow the four step process which includes checking all the condition...

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This problem is from the following book: goo.gl/t9pfIj We discuss the conditions for constucting confidence intervals using t as a critical value (TInterval). Then, we construct a confidence interval for population mean using a TInterval....

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This problem is from the following book: goo.gl/t9pfIj T Distributions have shorter peaks and fatter tails, especailly at low degrees of freedom. We look at the differences in finding critical values from confidence levels to create confidence intervals ...

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This problem is from the following book: goo.gl/t9pfIj If we have a maximum margin of error and set confidence level, we can calculate the minimum sample size required. If we have no hint at what p (the population proportion) is, we must assume the worst...

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This problem is from the following book: goo.gl/t9pfIj We can use sample data (sample proportion) to construct a confidence interval to estimate the true population proportion. In this video we start by identifying the population, parameter, sample, and ...

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This problem is from the following book: goo.gl/t9pfIj We calculate a probability using the normal distribution. Then, using the sampling distribution of x bar, we calculate the probability of observing a sample mean above a certain value. When we compar...

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This problem is from the following book: goo.gl/t9pfIj We can use the sampling distribution of x bar to calculate probabilities of a sample mean being under or above a cutoff value. Total time probability problems can often be done by first dividing the ...

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This problem is from the following book: goo.gl/t9pfIj We investigate the sampling distribution of p-hat and calculate the probability of observing a certain p-hat in a sample. We assure that the true population proportion (proportion of on-time deliveri...

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This problem is from the following book: goo.gl/t9pfIj We can use the sampling distribution of p (hat) to calculate the probabilities of sample proportions. In this problem we use both the binomial distribution to do these calculations as well as the nor...

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This problem is from the following book: goo.gl/t9pfIj Using repeated samples (1000) of 50 pennies each we created histograms of the sample range, sample mean, sample Q1, and sample maximum. We can use these histograms (which represent approximations of ...

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This problem is from the following book: goo.gl/t9pfIj We look at an approximate sampling distribution of the sample median for penny dates. We see what the sampling distribution tells us about the probability of observing certain dates as sample medians...

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This problem is from the following book: goo.gl/t9pfIj We determing the population, parameter, sample, and statistics then look at an approximate sampling distribution of the sample mean. We then use a modified boxplot of the population distribution to d...

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This problem is from the following book: goo.gl/t9pfIj First we determine a situation follows a binomial setting. The acronym BINS can help with this. We check to see that it is binary, independent, has a fixed number of trials, and a fixed probability o...

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This problem is from the following book: goo.gl/t9pfIj First we check that a random variable follows a geometric setting by checking the conditions with the acronym BITS (binary, independent, count the number of trials until the first success occurs, & a...

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This problem is from the following book: goo.gl/t9pfIj First we check that a random variable follows a binomial setting by checking the conditions with the acronym BINS (binary, independent, fixed number of trials, & a fixed probability of success). Then...

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This problem is from the following book: goo.gl/t9pfIj The Normal Distribution Stamp is available here: http://amzn.to/2H24KzK First we describe two Normally distributed random variables (baby due dates). Then we calculate the probability of one baby be...

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This problem is from the following book: goo.gl/t9pfIj We start with the probability model of a discrete random variable (which gives its values and probabilities) and calculate and interpret the mean and standard deviation. Next we apply a linear transf...

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This problem is from the following book: goo.gl/t9pfIj We start with a probability model of a discrete random variable and then apply a linear transformation (multiplying and adding a constant to the random variable). We do the transformations using the ...

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This problem is from the following book: goo.gl/t9pfIj We use the probability model of a discrete random variable (number of checked bags per passenger) to calculate a missing probability (using the fact that all the probabilities must sum to 1). Next we...

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This problem is from the following book: goo.gl/t9pfIj First we determine the probability of all 5 lotto numbers being odd then we determine which of two sets of lotto numbers is more likely to be drawn. The lesson with the second part is outcomes that â...

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This problem is from the following book: goo.gl/t9pfIj We start by using the multiplication rule for independent events to find the probability that all three copy machines (which function independently of each other) are not working. In other words not ...

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This problem is from the following book: goo.gl/t9pfIj Using a two way table we can calculate the probabilities a randomly selected individual will have certain characteristics. We can also use conditional probabilities to determine if two events are ind...

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This problem is from the following book: goo.gl/t9pfIj We first make a tree diagram to descibe a chance process. Next we find several probabilities using the tree diagram. Finally, we replace the probabilities on the tree diagram with the notation of the...

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This problem is from the following book: goo.gl/t9pfIj We start by making a venn diagram to represent chance process (probability of a randomly selected student taking calculus or statistics). We also make a two-way table. We then calculate the probabil...

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This problem is from the following book: goo.gl/t9pfIj First we arrange data for two qualitative variables into a two-way table. Then we calculate some probabilities including a probability that uses the general addition rule. Next we look at two events ...

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This problem is from the following book: goo.gl/t9pfIj We use simulation to estimate the probability of a chance process. We first state the what situation we are trying to simulate and define intervals of integers to represent certain outcomes. We then ...

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This problem is from the following book: goo.gl/t9pfIj We use simulation to estimate the probability of a chance process. We first state the what situation we are trying to simulate and define intervals of integers to represent certain outcomes. We then ...

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This problem is from the following book: goo.gl/t9pfIj We have two spinners with different probability models. We start by describing one of the probability model and then calculate the probability at spinner Aâ€™s pointer lands on a value greater than s...

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This problem is from the following book: goo.gl/t9pfIj We first look at the advantages of a matched pair design for an experiment. Then we then see we can conclude cause and effect becuase this was an experiment with random assignment. Finally, we see if...

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This problem is from the following book: goo.gl/t9pfIj We first diagram a completely randomized design for an experiment. Next, we talk about the advantages of blocking and then diagram a randomized block design for an experiment....

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This problem is from the following book: goo.gl/t9pfIj We start by looking at how the random assignment can be done for a completly randomized design. Next we diagram the experiment's design (CRD). Finally, we see the importance of blinding to avoiding l...

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