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ck12.org normal distribution problems: Qualitative sense of normal distributions | Khan Academy

0h10m Watch the 1st video of the course

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Course content 0h12m

Statistics: The average | Descriptive statistics | Probability and Statistics | Khan Academy

Introduction to descriptive statistics and central tendency. Ways to measure the average of a set: median, mean, mode

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. 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. Our lives are full of probabilities! Statistics is related to probability because much of the data we use w 0h06m

Statistics: Sample vs. Population Mean

The difference between the mean of a sample and the mean of a population. 0h12m

Statistics: Variance of a population | Probability and Statistics | Khan Academy

Variance of a population.

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. 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. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of 0h11m

Statistics: Sample variance | Descriptive statistics | Probability and Statistics | Khan Academy

Using the variance of a sample to estimate the variance of a population

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. 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. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding o 0h13m

Statistics: Standard deviation | Descriptive statistics | Probability and Statistics | Khan Academy

Review of what we've learned. Introduction to the standard deviation.

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs wal 0h12m

Statistics: Alternate variance formulas | Probability and Statistics | Khan Academy

Playing with the formula for variance of a population.

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. 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. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. 0h12m

Introduction to Random Variables

Introduction to random variables and probability distribution functions. 0h10m

Probability density functions | Probability and Statistics | Khan Academy

Probability density functions for continuous random variables.

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. 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, testin 0h12m

Binomial Distribution 1

Introduction to the binomial distribution 0h11m

Binomial Distribution 2

More on the binomial distribution 0h13m

Binomial Distribution 3 0h10m

Binomial Distribution 4

Using Excel to visualize the basketball binomial distribution 0h14m

Expected Value: E(X)

Expected value of a random variable 0h16m

Expected value of binomial distribution | Probability and Statistics | Khan Academy

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. 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. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some 0h11m

Poisson process 1 | Probability and Statistics | Khan Academy

Introduction to Poisson Processes and the Poisson Distribution.

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. 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. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statist 0h12m

Poisson process 2 | Probability and Statistics | Khan Academy

More of the derivation of the Poisson Distribution.

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. 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. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will co 0h09m

Law of large numbers | Probability and Statistics | Khan Academy

Introduction to the law of large numbers

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. 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. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will co 0h26m

Normal distribution excel exercise | Probability and Statistics | Khan Academy

(Long-26 minutes) Presentation on spreadsheet to show that the normal distribution approximates the binomial distribution for a large number of trials.

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. 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. Our lives are full of probab 0h26m

Introduction to the normal distribution | Probability and Statistics | Khan Academy

Exploring the normal distribution

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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. 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. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, 0h10m

ck12.org normal distribution problems: Qualitative sense of normal distributions | Khan Academy

Discussion of how "normal" a distribution might be

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