Biostatistics: Estimation and Hypothesis Testing, Part 1, Helpful Video Lecture in Amharic Speech

Biostatistics: estimation and hypothesis testing or inferential statistics unit, part 1, is lectured using Amharic language speech with detailed explanations. This video lectures the details of inferential statistics, estimation and hypothesis testing, inferential statistics, parameter estimations, point estimate, confidence interval, hypothesis testing, Z-test, T-test, sampling distribution, mean, variance, shape, central limit theorem, mean, proportion, standard deviation, standard error, parameter estimations, estimator, properties of good estimator, sample statistic, population parameter, types of estimation, point estimate, confidence interval, types of estimation: example, interval estimation, elements of CI estimation, level of confidence, meaning of 95% CI, sample size, confidence interval estimation for a single mean, all formulas of the unit, normal distribution table, the t distribution table, point and interval estimation of the population proportion, proportion estimation, hypothesis testing, hypothesis, examples of hypothesis testing, types of hypothesis, null hypothesis (H0), alternative hypothesis H1, state the null and alternative hypothesis for each statement, test statistics, known distributions, normal distribution, student’s distribution, chi-square distribution, level of significance, alpha, decision rule, errors in hypothesis testing, type I error, type II error, hypothesis testing for population mean, one tailed, two tailed, hypothesis testing common phrases, critical value, types of testes, what do we test, steps in hypothesis testing, hypothesis testing for single population mean, test procedures for one tailed test, proportions, hypothesis testing for single population proportions, P-value, measure of association and test of independence, and sound research article examples for all mentioned components.
Unit 1: Introduction to biostatistics, Unit 2: Descriptive statistics, Unit 3: Demography and health service statistics, Unit 4: Probability and probability distributions, Unit 5: Sampling methods and sample size determination, Unit 6: Statistical inference / Estimation and hypothesis testing, Unit 7: Analysis of variance (ANOVA), Unit 8: Regression and correlation, Unit 9: Categorical data analysis, Unit 10: Survival data analysis, Unit 11: Count data analysis, and Unit 12: Introduction to Software (SPSS, STATA, Epi Info, R, etc.).
#estimation #hypothesistesting #inferentialstatistics #parameter estimations #pointestimate #confidenceinterval #CI #Z-test, #T-test #samplingdistribution#nullhypothesis #alternativehypothesis #teststatistics #normaldistribution #studentdistribution #chi-squaredistribution#biostatistics #statistics #research
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[@abduselamhassen2142]

Ezih lay dgmo manbeb bcha nw de srah efu

[@sonaseenaamedia709]

Thank you bro

[@healthacademics]

Welcome
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[@todseshete8694]

Eyetebekuh neber.... Amesegnalehu ❤

[@healthacademics]

You can get now

[@GechGecho76]

Don't focus on theoretical issues, b.c we can read that. Please focus calculation

[@abduselamhassen2142]

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[@healthacademics]

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[@leol8482]

This is a horrible video. If you want to read the presentation we can do the same eko. Zero ability to actually explain the topic and continuously reading what is written and translating a few lines is not why or how you should do a teaching video. This was a complete waste of time. Learn from medical research lounge people if you want to understand how to deeply explain and elaborate on each point. This was disappointing truly.