'Sample z' presentation slideshows

APSTAT - Unit 4b

APSTAT - Unit 4b. Inference Continued. Chapter 23. Inference about means One Sample Z-Test for Mean One Sample T-Test for Mean One Sample T-Interval for Mean. One Sample Z - Test for Mean. Example. The 2005 SAT: Mean 1080, Standard Deviation 180 Priory Students n = 32, mean 1200

1.52k views • 129 slides

APSTAT - Unit 4b

APSTAT - Unit 4b. Inference Continued. Chapter 23. Inference about means One Sample Z-Test for Mean One Sample T-Test for Mean One Sample T-Interval for Mean. One Sample Z - Test for Mean. Example. The 2005 SAT: Mean 1080, Standard Deviation 180 Priory Students n = 32, mean 1200

1.52k views • 129 slides

Statistics for variationists

Statistics for variationists. - or - what a linguist needs to know about statistics . Sean Wallis Survey of English Usage University College London s.wallis@ucl.ac.uk. Outline. What is the point of statistics? Variationist corpus linguistics How inferential statistics works

650 views • 53 slides

LSSG Black Belt Training

LSSG Black Belt Training Hypothesis Testing Introduction Always about a population parameter Attempt to prove (or disprove) some assumption Setup: alternate hypothesis : What you wish to prove Example: Person is guilty of crime

2.05k views • 50 slides

One Sample Z-test

763 views • 27 slides

Hypothesis Testing

Hypothesis Testing. Repeated-Measures Data with One Sample. Repeated-Measures Testing with One Sample. One-Sample Z/T-Test: Looks at difference between one sample and its population at one point in time

799 views • 21 slides

Chapter 12: Inference for Proportions

Chapter 12: Inference for Proportions. Section 12.1 Inference for a Population Proportion. Estimating a Population Proportion. Conditions for Estimating p

286 views • 20 slides

Slit Y =22 Slit z = 8.7 Expo = 300s

Slit Y =22 Slit z = 8.7 Expo = 300s. Slit y =23 Slit z = 8.7 Expo = 120s. Slit y =22.5 Slit Z = 8.7 Expo = 120s. Slit y =22.5 Slit Z = 8.7 Expo = 300s T = 1000 C File# 51. Slit y =22.5 Slit Z = 8.7 Expo = 300s T = rt File# 52 Morning July 13th. Slit y =23 Slit Z = 8.7

364 views • 18 slides

Chapter 3

Chapter 3. Normal Curve, Probability, and Population Versus Sample Part 2. Using the Table: From % back to Z or raw scores. Steps for figuring Z scores and raw scores from percentages: 1. Draw normal curve, shade in approximate area for the % (using the 50%-34%-14% rule)

300 views • 14 slides