Hypothesis Testing I Pat Obi What is a “Hypothesis?” A statement or claim about the value of a population parameter: μ‚ σ2‚ p Pat Obi‚ Purdue University Calumet 2 Decision Rule 1. x 0 Z s n Compare calculated Z value to Z value from Table (critical Z value) Reject H0 if calculated Z value lies in the rejection/significance region (i.e. region) ALTERNATIVELY: 2. Compare p-value to Reject H0 if p-value < Pat Obi‚ Purdue University Calumet 3 Two-Tail Test Ex: H0: 0
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step 2: The hypothesis Answer the following questions: * What is a hypothesis? * How is a hypothesis different from a theory in science? * Describe an example of how you may use the scientific method in your daily life and state a good hypothesis for that example. * Which hypothesis did you first pick in the "Recognizing a good hypothesis" activity in the scientific method tutorial? Why? If any‚ which mistake(s) did you make when picking a hypothesis? A hypothesis is a specific
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I watched all episodes of season one Switched at Birth. The show is a one hour drama on ABC. It tells the lives of two teenage girls who discover they were accidentally switched as newborns in the hospital. They find out through a high school experiment that they are not the biological children of the parents they grew up with. Bay Kennish grew up in a wealthy family with two parents and a brother‚ while Daphne Vasquez‚ who lost her hearing at an early age due to a case of meningitis‚ grew up with
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Test of Hypothesis – Large Sample Test Critical Value (Zx) | Level of Significance (x) | | 1% | 5% | Two tailed test | Z = 2.58 | Z = 1.96 | One tailed test | Z = 2.33 | Z = 1.64 | Q. Z= X- μ σ√n = x- μS.EX The mean height of a random sample of 100 students is 64” and standard deviation is 3”. Test the statement that the mean height of population is 67” at 5% level of significance. Solution: We are given n = 100
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Chapter-11 Testing of Hypothesis: (Non-parametric Tests) Chapter-11: Testing of Hypothesis - (Non-parametric Tests) 2 11.1. Chi - square ( χ )Test / Distribution 2 11.1.1. Meaning of Chi - square ( χ )Test 2 11.1.2. Characteristics of Chi - square ( χ )Test 2 11.2. Types of Chi - square ( χ )Test / Distribution 2 11.2.1. Chi - square ( χ )Test for Population Variance 2 11.2.2. Chi - square ( χ )Test for Goodness-of-Fit 2 11.2.3. Chi - square ( χ )Test or Independence
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HYPOTHESIS TESTING WHAT IS THIS HYPOTHESIS???? • In simple words it means a mere assumption or supposition to be proved of disproved. • But‚ for a researcher it is a formal question that he intends to resolve. • Example: I assume that 1) under stress and anxiety a person goes into depression. 2) It leads to aggressive behaviour. Eg. : Students who get better counselling in a university will show a greater increase in creativity than students who were not counselled. • So‚ the hypothesis
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Hypothesis Testing The sole purpose of hypothesis testing is to determine whether or not research that has been collected is proved or disproved; usually allowing up to a 5% error factor. By using this 5% margin of error a researcher can consider the question of research being conducted is proven. There are five steps to be followed in doing hypotheses testing. The steps are: developing the research question‚ specifying between null and alternative hypotheses‚ calculating the statistic‚ computing
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LESSON 20: PRINCIPLE OF HYPOTHESIS TESTING So far we have talked about estimating a confidence interval along with the probability (the confidence level) that the true population statistic lies within this interval under repeated sampling. We now examine the principles of statistical inference to hypotheses testing. By the end of this chapter you should be able to • Understand what is hypothesis testing • Examine issues relating to the determination of level of How is this Done? If the difference
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Hypothesis Testing and Nursing Hypothesis testing is a method of making decisions using data from scientific study. In statistics‚ a result is called statistically significant if it has been predicted as unlikely to have occurred by chance alone‚ according to pre-determined threshold probability‚ the significance level. Statistical hypothesis tests define a procedure that controls (fixes) the probability of incorrectly deciding that a default position (null hypothesis) is incorrect based on how
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Random Assignment Assigning subjects to experimental groups based on chance. Random Sample A group of subjects representing the population who are selected through chance. Range the difference between the highest and lowest score in a distribution (often 1 is added to the result when computing statistics to allow for the 0.5 on either end lost due to rounding). Rank-Ordered Array A table consisting of data in order of highest to lowest or lowest
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