'100 1 confidence interval' presentation slideshows

Virtual COMSATS Inferential Statistics Lecture-13

Virtual COMSATS Inferential Statistics Lecture-13. Ossam Chohan Assistant Professor CIIT Abbottabad. Recap of previous lecture. In previous lecture we discussed Two population concepts Independence and Random CI Construction for two cases. Objective of this lecture.

1.73k views • 172 slides

BU255 FINAL Exam-AID Taught by: Greg Overholt

BU255 FINAL Exam-AID Taught by: Greg Overholt. What are we doing??. Stats ? Lectures 10 to 20!! All of it. Lecture 10 & 11:Estimation. Chapter s 5 and 6 :

1.76k views • 143 slides

Statistics

Statistics. Confidence intervals Hypothesis testing Conditional probability, independence, covariance Correlation Coefficient and Linear Regression. n =20. n =100. n =1000. Last week: point estimates. What you really care about is the probability distribution that underlies your data.

987 views • 80 slides

Chapter 2

Chapter 2. Simple Linear Regression. 1. Regression and Model Building. Regression analysis is a statistical technique for investigating and modeling the relationship between variables . Equation of a straight line (classical) y = mx +b we usually write this as y = ? 0 +? 1 x. 2.

926 views • 68 slides

Chapter 7. Statistical Intervals Based on a Single Sample

Chapter 7. Statistical Intervals Based on a Single Sample. Weiqi Luo ( ??? ) School of Software Sun Yat-Sen University Email ? weiqi.luo@yahoo.com Office ? # A313. Chapter 7: Statistical Intervals Based on A Single Sample. 7.1. Basic Properties of Confidence Intervals

826 views • 51 slides

Basic Statistical Concepts

Basic Statistical Concepts. Sutikno Departemen Statistika Fakultas Matematika dan Ilmu Pengetahuan Alam Institut Teknologi Sepuluh Nopember Surabaya tikno@yahoo.com , sutikno@statistika.its.ac.id 085230203017. AGENDA. Simple comparative experiments The hypothesis testing framework

454 views • 45 slides

Yoonsang Kim Dulal K. Bhaumik Robert D. Gibbons

Confidence and Prediction Intervals for Small Sample Asbestos Fiber Counts based on Lognormal and Gamma Distributions. Yoonsang Kim Dulal K. Bhaumik Robert D. Gibbons. Asbestos Data.

521 views • 40 slides

ENGR 201: Statistics for Engineers

ENGR 201: Statistics for Engineers. Chapter 10: Statistical Inference for Two Samples Inference on difference in means of two normal distribution A non-parametric test on the differences in two means Paired t-test Inference on variances, population proportions.

451 views • 40 slides

BASIC STATISTICAL CONCEPTS Statistical Moments & Probability Density Functions

285 views • 28 slides

BASIC STATISTICAL CONCEPTS

399 views • 24 slides

Objectives

Objectives. 6.2 Tests of significance The reasoning of significance tests Stating hypotheses The P -value Statistical significance Tests for a population mean Confidence intervals to test hypotheses. Reasoning of Significance Tests.

421 views • 24 slides

Lesson 9 - 2

Lesson 9 - 2. Tests about a Population Proportion. Objectives. CHECK conditions for carrying out a test about a population proportion. CONDUCT a significance test about a population proportion.

310 views • 21 slides

Section 7.2

Section 7.2 Tables 7.2-1 and 7.2-2 summarize hypothesis tests about one mean. (These tests assume that the sample is taken from a normal distribution, but the tests are robust when the sample is taken from a non-normal distribution with finite mean and variance.)

147 views • 14 slides

Paired Data and Using Tests Wisely

275 views • 12 slides

Friday Oct 8

Friday Oct 8. Confidence interval for ? How to obtain Z ?/2 Interpretation of confidence interval What n ? 30, can replace ? by s Read 5.2 Next time: read 5.3. Similarly P(-1.96 < Z < 1.96) = 0.95 Thus P( ? -1.96 ? ? < ? < ? +1.96 ? ? ) = 0.95

234 views • 7 slides