![]() ![]() ![]() Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. ![]() HttpsProbability and statistics on Khan Academy We dare you to go through a day in which you never consider or use probability. Watch the next lesson httpsMissed the previous lesson? Ways to measure the average of a set median, mean, mode Introduction to descriptive statistics and central tendency. T-statistics - Small sample hypothesis test - T-statistic confidence interval - Large sample proportion hypothesis testing - Variance of differences of random variables - Difference of sample means distribution - Confidence interval of difference of means - Clarification of confidence interval of difference of means - Hypothesis test for difference of means - Comparing population proportions Population Mean,Variance of a population,Sample variance,Standard -deviation,Alternate variance formulas - Introduction to Random Variables - Probability density functions - Binomial Distribution - Expected Value: E(X) - Expected value of binomial distribution - Poisson process - Law of large numbers - Normal distribution excel exercise - Introduction to the normal distribution - normal distribution problems: Qualitative sense of normal distributions - normal distribution problems: z-score - normal distribution problems: Empirical rule - k12.org exercise: Standard normal distribution and the empirical - : More empirical rule and z-score practice - Central limit theorem - Sampling distribution of the sample mean - Standard error of the mean - Sampling distribution example problem - Confidence interval - Mean and variance of Bernoulli distribution example - Bernoulli distribution mean and variance formulas - Margin of error - Confidence interval example - Small sample size confidence intervals - Hypothesis testing and p-values - One-tailed and two-tailed tests - Z-statistics vs. Statistics: The average | Descriptive statistics,Sample vs. ![]()
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