understanding of hypothesis testing. The textbook explained the aspects and steps of hypothesis testing in a legible fashion‚ while the video helped demonstrate a real-life application. I learned from the text that hypothesis testing is a “Procedure for deciding whether the outcome of a study (results from a sample) supports a particular theory or practical innovation (which is thought to apply to a population)” (Aron A.‚ Aron‚ E.‚ and Coups‚ 2011‚ p. 145). I also learned that hypothesis testing
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Release date: 27 April 2014 Submission date: 9 May 2014 TUTORIAL ON HYPOTHESIS TESTING (1) Basic Concept 1. State the null and alternative hypothesis for each conjecture : a. A researcher thinks that if expectant mothers use vitamin pills‚ the birth weight of the babies will increase. The average birth weight of the population is 3.0kg. b. An engineer hypothesizes that the mean number of defects can be decreased in a manufacturing process of compact disks by using robots instead of humans
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Hypothesis Testing: Alzheimer ’s Disease Natalie Sullivan PSY/315 August 8‚ 2011 Deborah Suzzane Ph.D. Hypothesis Testing: Alzheimer ’s Disease One in eight American’s over age 65 are diagnosed with Alzheimer’s disease. This number continues to grow as the population increases. The number of people affected by Alzheimer’s is alarming. The Alzheimer’s Association (2011) estimates that 5.4 million Americans of all ages suffer from this disease. Team A will attempt to form a hypothesis stating
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Practice with p-values Work through these problems with your computer partner and/or instructor. Answers follow the problem set. 1. Suppose we’ve done the computation of the Z test statistic. For each of the following situations determine the p-value that goes along with Z. a. Z = 2.12‚ two-sided test b. Z = 4.55‚ two-sided test c. Z = -1.40‚ lower-tail test 2. Suppose Z = 1.92.Which has a smaller p-value‚ the upper-tail test or the two-sided test? From this‚ is it more likely to have a
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T-test A t-test is a hypothesis test in which the test statistic follows a Student’s t-distribution under the null hypothesis. There are several different test statistics that fall into the category of a t-test. One-Sample t-test x 0 s n df n 1 t Independent Two-Sample t-test t x1 x2 2 sx1x2 n 1 2 2 sx1 sx2 2 df 2n 2 sx1x2 Unequal Sample Size Two-Sample t-test t x1 x2 1 1 sx1x2 n1 n2 sx1x2 n1 1 sx2 n2
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KEYWORDS: t test for mean difference‚ assumption 3. If we are testing for the difference between the means of 2 related populations with samples of n1 = 20 and n2 = 20‚ the number of degrees of freedom is equal to a) 39. b) 38. c) 19. d) 18. ANSWER: c TYPE: MC DIFFICULTY: Easy KEYWORDS: t test for mean difference‚ degrees of freedom 4. If we are testing for the difference between the means of 2 independent populations with samples
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1. First enter the Real estate data (text book data set 1) into SPSS and then select a sample of size‚ n = last two digits of your ID and answer the exercises. I. Select an appropriate class interval and organize the “Selling price” into a frequency distribution. II. Compute the Mean‚ Median‚ Mode‚ Standard Deviation‚ Variance‚ Quartiles‚ 9th Decile‚ 10th Percentile and Range of “Selling price” from the raw data of your sample and interpret. III. Develop a histogram (Using question “1”) for
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Hypothesis testing I Kevin Soo Outline • • • • Theory and the research process What is a hypothesis? Hypothesis testing Statistical models Theory and the research process Theory • A belief – Can be true or false – P (belief) • A proposed/possible explanation for something – ‘Some students do poorly at statistics because they have less exposure to mathematics’ – ‘Women don’t date me because I’m ugly’ – ‘Manchester United lost the Premier League because they struggled with injury
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Step 1: Step 2: The alternative hypothesis is which indicates a one tail test. The degrees of freedom (df) = n-2=12-2=10. The t value at the significance level of .05 and df of 8 and from appendix F is 1.812. The decision rule is to reject the null hypothesis because the test statistic is greater then 1.812. Step 3: According to Appendix F‚ we can assume that P 1.744)‚ there is insufficient evidence to reject the null hypothesis. P-value Approach: Since the P-value is less
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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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