Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

symbol meanings in stats, Cheat Sheet of Statistics

contains what each symbols mean in basic level stats

Typology: Cheat Sheet

2023/2024

Uploaded on 05/20/2025

joe-zayed
joe-zayed 🇺🇸

1 document

1 / 5

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Confidence Interval
When to use: Estimate a population mean or proportion.
Formula (mean): sample mean +/- critical value * (s/sqrt(n))
Steps:
1. Find sample mean, s, and n.
2. Find critical value (z* or t*).
3. Compute SE = s/sqrt(n).
4. Margin = critical value * SE.
5. CI = (sample mean - margin, sample mean + margin).
Tip: Use z* if n >= 30, t* if n < 30 and sigma unknown.
Hypothesis Testing
When to use: Testing a claim about a population mean or proportion.
Steps:
1. State H0 (null) and Ha (alternative).
2. Choose alpha (like 0.05).
3. Calculate test statistic: t = (sample mean - claimed mean)/(s/sqrt(n)).
4. Find p-value.
5. Decision: If p-value < alpha, reject H0.
Tip: Sketch left-tailed, right-tailed, or two-tailed tests!
Central Limit Theorem (CLT)
When to use: Sampling distribution of sample mean.
Key Points:
- For large n (>=30), sample means are approximately normal.
- Mean = population mean, SE = sigma/sqrt(n).
Steps:
1. Compute SE.
pf3
pf4
pf5

Partial preview of the text

Download symbol meanings in stats and more Cheat Sheet Statistics in PDF only on Docsity!

Confidence Interval

When to use: Estimate a population mean or proportion. Formula (mean): sample mean +/- critical value * (s/sqrt(n)) Steps:

  1. Find sample mean, s, and n.
  2. Find critical value (z* or t*).
  3. Compute SE = s/sqrt(n).
  4. Margin = critical value * SE.
  5. CI = (sample mean - margin, sample mean + margin). Tip: Use z* if n >= 30, t* if n < 30 and sigma unknown.

Hypothesis Testing

When to use: Testing a claim about a population mean or proportion. Steps:

  1. State H0 (null) and Ha (alternative).
  2. Choose alpha (like 0.05).
  3. Calculate test statistic: t = (sample mean - claimed mean)/(s/sqrt(n)).
  4. Find p-value.
  5. Decision: If p-value < alpha, reject H0. Tip: Sketch left-tailed, right-tailed, or two-tailed tests!

Central Limit Theorem (CLT)

When to use: Sampling distribution of sample mean. Key Points:

  • For large n (>=30), sample means are approximately normal.
  • Mean = population mean, SE = sigma/sqrt(n). Steps:
  1. Compute SE.
  1. Find z = (sample mean - population mean)/SE.
  2. Find probabilities using z-table or calculator.

Quick Memorization Tips

Confidence Interval -> "Estimate and range" Hypothesis Test -> "Claim vs Evidence" CLT -> "Large n, sample mean ~ normal

Descriptive Statistics 𝑥̅ = ∑𝑥̅ 𝑛 𝑠 = √∑( 𝑥̅ − 𝑥̅ ) 𝑛 − 1 𝑧 = 𝑥̅ − 𝜇 𝜎 Q1 = 25th percentile Median = Q2 = 50th percentile Q3 = 75th percentile range = largest value – smallest value 𝑥̅ is the sample mean ∑ 𝑥̅ tells you to Add up all the values in set x n is the number of datapoints s is the sample standard deviation z measures the number of standard deviations a value is away from the mean μ (pronounced mu) is the population mean σ (pronounced sigma) is the population standard deviation Inferential Statistics 𝐸 = 𝑧𝛼 2⁄ √𝑝̂ 𝑞̂