included questions covering the whole four weeks. As for statistically analyzing of the exam results‚ the Null Hypothesis was laid down. The latter stated that “There is no statistically difference between the control and the experimental group due to the assessment rich PBL approach”. The statistical analysis of the exam results showed very strong statistical evidence to reject the Null Hypothesis. The experimental group students outperformed significantly the control group students. The results showed
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Quantitative Methods Group Project Topic: Should Hong Kong bid to host the 2023 Asian Games? 1. Introduction As Hong Kong football team was rated a brilliant performance in Hong Kong 2009 East Asian Games‚ it raises the awareness of Hong Kong residents in sport and gives a big motivation for us to be a host of huge sport event again. Recently‚ the Hong Kong government and residents are talking and discussing about whether Hong Kong should bid to host the 2023 Asian Games or not. To study
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BES Tutorial Sample Solutions‚ S1/13 WEEK 9 TUTORIAL EXERCISES (To be discussed in the week starting May 6) 1. Perform the following hypothesis tests of the population mean. In each case‚ illustrate the rejection regions on both the Z and ̅ distributions‚ and calculate the p-value (prob-value) of the test. (a) H0: μ = 50‚ H1: μ > 50‚ n = 100‚ ̅ = 55‚ σ = 10‚ α = 0.05 Rejection region: ̅ 50 1.645 . 10⁄√100 Alternatively 10 51.645 50 1.645 ̅ ̅ . √ √100 Since 55 50 5 1.645 .
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2013/3/31 Introduction: The Nature and Purpose of Econometrics Continuous and Discrete Data What is Econometrics? Literal meaning is “measurement in economics”. Definition of financial econometrics: The application of statistical and mathematical techniques to problems in finance and accounting. Continuous data can take on any value and are not confined to take specific numbers. Discrete data can only take on certain values‚ which are usually integers Types of Data Dummy
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Preliminary Observations • The Mean of AA Fly (7.167) is lesser than TT Air (10.229). This means that the average number of hours of AA Fly is lesser than TT Air during each 24-hour period i.e. (10.229-7.167=3.062). • The sample size of AA Fly (27) is lesser than TT Air (28). Even though AA Fly’s sample is 1 day shorter than TT Air‚ it does not significantly affect the output as the one day does not change much (unless there had been a market shock). However based on Central Limit Theorem‚
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Quiz 3‚ with key Question 1 of 20 0.0/ 1.0 Points Accepted characters: numbers‚ decimal point markers (period or comma)‚ sign indicators (-)‚ spaces (e.g.‚ as thousands separator‚ 5 000)‚ "E" or "e" (used in scientific notation). NOTE: For scientific notation‚ a period MUST be used as the decimal point marker. Complex numbers should be in the form (a + bi) where "a" and "b" need to have explicitly stated values. For example: {1+1i} is valid whereas {1+i} is not. {0+9i} is valid whereas {9i} is
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pregnant mother and take good care of her. Hence higher the education spend better is the infrastructure and the corresponding education level and lower will be the death of the infants. Null Hypothesis H0: There exists a relationship between percentage money spent on gdp and the infant mortality rate. Alternate Hypothesis H1: There is no relation between percentage money spent on gdp and the infant mortality rate Independent Variable – Percentage of GDP spent on education Dependent Variable – Infant
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1) Conduct a hypothesis test for each sample at the .01 level of significance and determine what action‚ if any‚ should be taken. Provide the test statistic and the p-value for each test. At 0.01 level of significance │Zᾳ/2 │ = 2.58 Reject Ho when │Z│> │Zᾳ/2 │ Sample 1 Sample 2 Sample 3 Sample 4 SAMPLE MEAN 11.958 12.028 11.889 12.081 POPULATION MEAN 12 12 12 12 SAMPLE STANDARD DEVIATION 0.22 0.22 0.20 0.20 SAMPLE SIZE 30 30 30 30 Z -1.028 0.712 -2.935 2.161 RESULT ACCEPT ACCEPT REJECT ACCEPT
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complete the rest. For part a)‚ b) and c)‚ write down your null and alternative hypotheses and then discuss the hypothesis testing results based on SPSS output. Please show your SPSS output for part a)‚ b)‚ and c). a) Is there a significant association between usage frequency and satisfaction? If so‚ which segments are less satisfied? Null Hypothesis H0: usage frequency and satisfaction are not associated Alternative Hypothesis H1: usage frequency and satisfaction are associated
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analysis indicates that to be profitable the average order would have to exceed $85. Can we infer from the data that an e-grocery will be profitable in the city? Test using = 0.01. Step 1: Hypothesis is that to be profitable the average order has to exceed $85. Since it’s unproven‚ it is the alternative hypothesis. The
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