observation. 2. In doing science‚ why are hypotheses either supported or not supported‚ but never proved beyond all doubt? There are many other factors that could be unknown and new data could be found in the future to support or not support a hypothesis. 3. For this pendulum exercise‚ state your hypotheses (there should be 2). 1. If the weight on the string is 4oz‚ then the string will produce more swings. 2. If the string is 18 inches long‚ then there will be fewer swings. 4. Methods. What
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The word ‘Hypothesis is derived from a Greek word‚ which means ‘to suppose’. It is usually considered as the principal instrument in research. For a researcher it is a formal question that he or she intends to resolve. In this way a hypothesis may be defined as a proposition or a supposition. The main function of hypothesis is to guide the collection and processing of materials and direct the research. Hypothesis is a tentative conclusion. It is facts based theory. A research scholar will analyze
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Problem N°1 1.Formulate the null and alternative hypotheses. Null Hypothesis: The average (mean) annual income was greater than or equal to $50‚000 H_0: μ≥50000 Alternate Hypothesis: The average (mean) annual income was less than $50‚000. H_a: μ 30 we will use the z-test. As Ha:μ0.40 the‚ test is a right tailed z-test. The critical value for significance level‚ α=0.05 for a right tailed z-test is given in the table as: 1.645. Decision Rule: Reject H_0‚if z>1.645 3. Calculate the test
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Efficient Market Hypothesis And Behavioral Finance – Is A Compromise In Sight? By Nikolai Chuvakhin Legend has it that once upon the time two economists were walking together when one of them saw something that struck his mind. “Look‚” he exclaimed‚ “here’s a great research topic!” “Nonsense‚” the other one said‚ “If it were‚ someone would have written a paper on it by now.” For a long time this attitude governed the view of economists toward the stock market. Economists simply believed that
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Mathematical and Computer Sciences Department of Statistics and Operations Research F LIMPOPO YO UN I VERSIT Faculty of Science and Agriculture 1. Explain carefully the difference between each of the following pairs of terms: a) b) c) d) e) Null and alternative hypotheses Simple and composite hypotheses One-sided and two-sided alternatives Type I and Type II errors Significance level and power 2. During 2000 and 2001‚ many people in Europe objected to purchasing genetically modified
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PROJECT PART B: Hypothesis Testing and Confidence Intervals Math 533 Applied managerial Statistics. Instructor: Mr. Patrick Mayers. April 12‚ 2015 Guillermo H. Quintela. a. The average (mean) sales per week exceeds 41.5 per salesperson. The Null Hypothesis: The average (mean) sales per week is greater than or equal to 41.5 per salesperson. Ho:µ >= 41.5 The alternate Hypothesis: The average (mean) sales per week is less than or equal than 41.5 per salesperson. Ha:µ < 41.5 For a significance
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Statistics for Management Unit 9 Unit 9 Testing of Hypothesis in Case of Large and Small Samples Structure: 9.1 Introduction Objectives Relevance Assumptions 9.2 Testing Hypothesis Null and Alternate hypothesis Interpreting the level of significance Hypothesis are accepted and not proved 9.3 Selecting a Significance Level Preference of type I error Preference of type II error Determine appropriate distribution for the test of Mean 9.4 Two–tailed Tests and One–tailed Tests
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1. The null hypothesis: There are no promising variables that seem to have a relationship with the amount of the prepaid cards The alternative hypothesis: There are variables that have a relationship to the amount stored on the prepaid card. To find out of if we are to accept or reject the null hypothesis we are first to determine the critical value‚ this was done by using the denominators (20)‚ and then aligning with the number of degrees of freedom (4) at the 0.05 significance level. The
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support the assertion. 1. Identify the null and alternative hypothesis needed to test the contention. We are concern about the ammunition ($) difference between Gander Mountain (u1) and Cabela’s (u2). Null: Ho: Gander Mountain (u1) < Cabela’s (u2) Alt: Ha: Gander Mountain (u1) > Cabela’s (u2) Based on information from outside consumer the null hypothesis that our brand (u1) prices are less than competitor brand (u2) is rejected‚ making the alternative hypothesis (u1) with higher prices to be accepted
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in-patient days‚ patient days‚ patient care revenue‚ nursing salaries‚ and facilities expenditures between the rural and non-rural nursing homes/facilities in New Mexico. The main hypothesis that was tested among the dataset was does rural homes have a lower average of beds? This specific study was conducted using a hypothesis testing of two samples that had two means. The reason why the choice of testing of two samples means were because it compared the two sets of data that are directly related to
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