Hypothesis testing for Normal Distribution – Critical values method (3 examples)
Critical values method In this tutorial, we work through 3 examples of using the critical value method to determine, determine whether to accept or reject the null hypothesis.
Understanding Critical values (Hypothesis testing for Normal Distribution)
In this tutorial, we learn how about critical value, critical regions and how to use them to determine whether to accept or reject the null hypothesis.
Hypothesis testing for Normal distribution (One tailed and 2 tailed test)
Hypothesis testing for Normal distribution In this tutorial, we do more examples of hypothesis testing for one-tailed and two-tailed tests using the p values method.
Introduction to Hypothesis testing for Normal distribution
Introduction to Hypothesis testing for Normal distribution In this tutorial, we learn how to conduct a hypothesis test for normal distribution using the p values method with 6 simple steps.
Sampling distribution of the sample means (Normal distribution)
Sampling distribution of the sample means (Normal distribution) In this tutorial, we learn about the sampling distribution of sample means for normal distribution.
Sampling distribution of the sample means (Normal distribution) proof
Sampling distribution of the sample means (Normal distribution) proof In this tutorial, we learn how to prove the result for the sampling distribution of sample means from a normal distribution.
Probability Tree Diagrams for Dependent Events
Tree Diagrams
Inverse Normal Function to find observed values
Normal Cumulative Distribution Function
Binomial probabilities on a calculator
Hypothesis testing for zero correlation
Measuring linear correlation using a calculator
Probability in two way tables
Probability Tree Diagrams for Independent Events
Exam Questions – Box and whisker plots
Notation and defining regions
3 set problems
Probability in Venn diagrams
Exam Questions – Calculating the mean and standard deviation
Exam Questions – Finding an observed value
Histograms – How to find the width and height of a class interval
Exam Questions – Histograms, Finding the length and width of a rectangle
Exam Questions – Estimating the median from a histogram
Exam Questions – Continuous data / standard deviation
Exam Questions – Normal distribution, finding a probability
Exam Questions – Venn diagrams
Exam Questions – Stem and leaf diagrams and box and whisker plots
Exam Questions – Estimating the median from a grouped frequency table
How to interpret class intervals
Exam Questions – Median, lower, upper quartiles and interquartile range for discrete data
Exam Questions – Hypothesis tests: binomial distribution
Exam Questions – Normal approximation to the binomial distribution
Exam Questions – Tree diagrams
Exam Questions – Histograms
Exam Questions – Discrete data / standard deviation
Exam Questions – Discrete data / mean
Two tailed test
Critical values – upper tail test
Critical values – lower tail test
Upper tail test
Lower tail test
Test for a binomial proportion
The normal approximation to the binomial distribution
Continuity corrections
Mean and variance
Cumulative probability tables
Binomial distribution
Making predictions and reliability of predicted values
Interpreting the regression line constants, explanatory and response variables
Regression
Correlation
Calculating the mean μ and standard deviation σ
Probabilities from a normal distribution using tables
The standard normal distribution Z~N(0,1) – Using tables or calculator
The normal distribution
Probability distribution tables
Independent, dependent and mutually exclusive events
P(A∪B) and mutually exclusive events
Conditional probability in Venn diagrams
Venn diagrams
Conditional probability in tree diagrams
And Rule (multiplication) / Or Rule (addition for mutually exclusive events)
Probability tree diagrams
In this video, I introduce you to drawing tree diagrams as a way of simplifying calculations when combining probabilities. It is important that you see all three questions as they differ in style. I also introduce you to the notation of conditional probability. 1) A bag contains 5 red sweets and 3 blue sweets. Two […]