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Permutation/Randomization Tests • Computer-intensive methods for hypothesis testing • Used when distribution of the test statistic (under the null hypothesis) is unknown and we can do resampling under the null hypothesis • Permutation tests maintain the Type I error level ...
Outline • Where are we up to? Part 1 • Hypothesis Testing • Multiple Comparisons vs Topological Inference • Smoothing Part 2 • Random Field Theory • Alternatives • Conclusion Part 3 • SPM Example Part 1: Testing Hypotheses Where ...
Confidence Intervals: The Basics LEARNING TARGETS By the end of this section, you should be able to: IDENTIFY an appropriate point estimator and CALCULATE the value of a point estimate. INTERPRET a confidence interval in context. DETERMINE the point estimate ...
Multiple Categories • So far, we’ve learned how to do inference for categorical variables with only two categories • Today, we’ll learn how to do hypothesis tests for categorical variables with multiple categories Statistics: Unlocking the Power of ...
STATISTICS FOR BUSINESS (Hypothesis testing for a single population) A nuclear power plant adjacent to a residential area An hypothesis is giving an opinion or making a decision without objective information Consider: Government announces "Radiation levels around a ...
Key Vocabulary Median Mean Mode Modal class Range Statistics • When we gather data, we end up with a mass of numbers. • These numbers, by themselves, are meaningless • They gain meaning when we perform calculations on the numbers ...
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Confidence Intervals for the Mean (Large Samples) 2 Next • In this chapter, you will learn an important technique of statistical inference—to use sample statistics to estimate the value of an unknown population parameter. 3 Next • In this ...
A significance test is a formal procedure for comparing observed data with a claim (hypothesis). Significance The claim is a statement about a parameter. Test Tests ask if sample data give good evidence against a claim. If an observed statistic ...
OUTLINE • Memahami pentingnya belajar statistik • Definisi dan ruang lingkup statistic • Statistik deskriptif dan statistik inferensial • Mengetahui perbedaan jenis data dan variable dalam statistic • Perbedaan discrete variable dan continuous variable • Perbedaan nominal, ordinal, interval dan ...
Big Picture Hypothesis Tests that the Chi-Square Test Statistic can Address: Goodness-of-Fit Test: Test a claim about the distribution of a categorical variable in a population. • The distribution of blood types for whites in the US is 45% type ...
Hypothesis Tests Parametric Tests - tests about specific 2 population parameters (μ, σ , etc.) –Is μ different from a predetermined 1 value? –Is μ different from μ ? 1 2 Non-Parametric Tests - tests about the shape of ...
Review of Last Class The standard error of a statistic is the standard deviation of the sample statistic, which can be estimated from a bootstrap distribution Confidence intervals can be created using the standard error or the percentiles of a ...
Review of Last Class • The randomization distribution shows what types of statistics would be observed, just by random chance, if the null hypothesis were true • A p-value is the chance of getting a statistic as extreme as that ...
Tujuan Penelitian Adapun tujuan penelitian ini adalah : 1. Untuk mengetahui dan menganalisis pengaruh perputaran kas, perputaran piutang, dan perputaran persediaan terhadap profitabilitas pada industri pertambangan yang listing di Bursa Efek Indonesia. 2. Untuk mengetahui dan menganalisis pengaruh perputaran kas ...
Statistika ilmu pengetahuan tentang data • merupakan bagian dari matematika yang membahas rumus untuk mengumpulkan, menggambarkan atau menyajikan, menganalisis, dan menginterpretasikan data kuantitatif [Webster New Collegiate Distionary] • merupakan cabang dari metode ilmiah yang menggunakan data didapatkan dengan menghitung atau ...
INTRODUCTION In designing experiments, need to know what number of individuals would be optimal to detect differences between groups (typically a control versus treatment groups). Also would like to know, given the number of individuals, what chance we might have ...
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