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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73. Basic Biostatistics: Introduction to Biostatistics, Helpful Video Lecture in Amharic Speech, Part 1
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74. Basic Biostatistics: Introduction to Biostatistics, Helpful Video Lecture in Amharic Speech, Part 2
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75. Basic Biostatistics: Introduction to Biostatistics, Helpful Video Lecture in Amharic Speech, Part 3
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76. Basic Biostatistics: Introduction to Biostatistics, Helpful Video Lecture in Amharic Speech, Part 4
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77. Basic Biostatistics: Introduction to Biostatistics, Helpful Video Lecture in Amharic Speech, Part 5
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78. Basic Biostatistics: Introduction to Biostatistics, Helpful Video Lecture in Amharic Speech, Part 6
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79. Basic Biostatistics: Introduction to Biostatistics, Helpful Video Lecture in Amharic Speech, Part 7
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80. Basic Biostatistics: Introduction to Biostatistics, Helpful Video Lecture in Amharic Speech, Part 8
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81. Basic Biostatistics: Descriptive Statistics, Interesting Video Lecture in Amharic Speech, Part 1
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82. Basic Biostatistics: Descriptive Statistics, Interesting Video Lecture in Amharic Speech, Part 2
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83. Biostatistics: Descriptive Statistics, Helpful Video Lecture in Amharic Speech, Part 3
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84. Biostatistics: Descriptive Statistics, Part 4, Informative Video Lecture in Amharic Speech
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85. Biostatistics: Descriptive Statistics, Part 5, Informative Video Lecture in Amharic Speech licensur
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