God is our refuge and our strength, our ever-present help in distress. - Psalm 46:1

The Joy of a Teacher is the Success of his Students. - Samuel Dominic Chukwuemeka B.Eng., A.A.T, M.Ed., M.S

I greet you this day,

First: read the notes. Second: review the formulas and the tables.
Third: view the videos. Fourth: solve the questions/solved examples.
Fifth: check your solutions with my thoroughly-explained solutions.
Sixth: check your answers with the calculators as applicable.

I wrote most of the codes for these calculators using Javascript, a client-side scripting language. Please use the latest Internet browsers. The calculators should work.
Comments, ideas, areas of improvement, questions, and constructive criticisms are welcome. Should you need to contact me, please use the form at the bottom of the page. If you are my student,
please do not contact me here. Contact me via the school's system. Thank you for visiting.

Samuel Dominic Chukwuemeka (SamDom For Peace) B.Eng., A.A.T, M.Ed., M.S

Population Proportion

Goodness-of-Fit Test

(One-Way Frequency Table)

Contingency Table

(Two-Way Frequency Table)

Test of Independence

Fisher Exact Test: Test of Homogeneity

McNemar's Test: Test for Matched Pairs

Population Standard Deviation

Population Mean

One-Way ANOVA

(The Completely Randomized Design)

Two-Way ANOVA

(The Factorial Design)

Correlation and Regression

Population Variance

x

One Sample Proportion: Left-Tailed

Given: CL

To Find: α, -z_{α/2}

Given: α

To Find: CL, -z_{α/2}

Given: p, p̂, α

Test hypothesis using Classical Approach and P-value Approach

Given: p, n, x, α

Test hypothesis using Classical Approach and P-value Approach

Given: p, n, x of a Binomial Distribution; α

Test hypothesis using P-value Approach

x

One Sample Proportion: Right-Tailed

Given: CL

To Find: α, z_{α}

Given: α

To Find: CL, z_{α}

Given: p, p̂, α

Test hypothesis using Classical Approach and P-value Approach

Given: p, n, x, α

Test hypothesis using the Classical Approach and P-value Approach

Given: p, n, x of a Binomial Distribution; α

Test hypothesis using P-value Approach

x

One Sample Proportion: Two Tails

Given: σ, x, n, p

Test hypothesis using the Classical Approach and the P-value Approach

Given: p, p̂, α

Test hypothesis using Classical Approach and P-value Approach

Given: CL, x, n, p

Test hypothesis using the Confidence Interval Method

Given: p, n, x of a Binomial Distribution; α

Test hypothesis using P-value Approach

x

Two Samples Proportion: Left-Tailed

Given: x_{1}, n_{1}, x_{2}, n_{2}, α

Test hypothesis using Classical Approach and P-value Approach

x

Two Samples Proportion: Right-Tailed

Given: x_{1}, n_{1}, x_{2}, n_{2}, α

Test hypothesis using Classical Approach and P-value Approach

x

Two Samples Proportion: Two-Tailed

Given: σ, x, n, p

Test hypothesis using the Classical Approach and the P-value Approach

Two Samples Proportion: Confidence Interval Estimate

Given: x_{1}, n_{1}, x_{2}, n_{2}, α

To: Construct a confidence interval for p_{1} - p_{2}

x

One Sample Mean: Left-Tailed

Given: CL, df

To Find: α, critical t

Given: α, df

To Find: CL, critical t

Given: CL, n

To Find: α, critical t

Given: α, n

To Find: CL, critical t

Given: Raw dataset x (from Sample)

To calculate: sample size, mean, standard deviation

Given: sample size, test statistic

To calculate: degrees of freedom, P-value

Given: μ_{x̄}, x̄, s, n, α

Test hypothesis using Classical Approach and P-value Approach

Given: μ_{x̄}, x̄, σ, n, α

Test hypothesis using Classical Approach and P-value Approach

x

One Sample Mean: Right-Tailed

Given: CL, df

To Find: α, critical t

Given: α, df

To Find: CL, critical t

Given: CL, n

To Find: α, critical t

Given: α, n

To Find: CL, critical t

Given: Raw dataset x (from Sample)

To calculate: sample size, mean, standard deviation

Given: sample size, test statistic

To calculate: degrees of freedom, P-value

Given: μ_{x̄}, x̄, s, n, α

Test hypothesis using Classical Approach and P-value Approach

Given: μ_{x̄}, x̄, σ, n, α

Test hypothesis using Classical Approach and P-value Approach

x

One Sample Mean: Two-Tailed

Given: CL, df

To Find: α, critical t

Given: α, df

To Find: CL, critical t

Given: CL, n

To Find: α, critical t

Given: α, n

To Find: CL, critical t

Given: Raw dataset x (from Sample)

To calculate: sample size, mean, standard deviation

Given: sample size, test statistic

To calculate: degrees of freedom, P-value

Given: μ_{x̄}, x̄, s, n, α

Test hypothesis using Classical Approach and P-value Approach

Given: μ_{x̄}, x̄, s, n, CL

Test Hypothesis using the Confidence Interval Method

Given: μ_{x̄}, x̄, σ, n, α

Test hypothesis using Classical Approach and P-value Approach

x

Two Samples Mean: Left-Tailed

Given: Raw datasets X_{1} and X_{2} (Samples)

To calculate: sample sizes, sample means, sample standard deviations, degrees of freedom (several ones - use whatever is applicable)

Use for Independent Samples

Given: Raw datasets X_{1} and X_{2} (Samples)

To calculate: differences between values; sample size, sample mean, and sample standard deviation of the difference, degrees of freedom