Fundamentals of Hypothesis-Testing Methodology Hypothesis testing typically begins with a theory‚ a claim‚ or an assertion about a particular parameter of a population. Some of them are: • The Null and Alternative Hypotheses The hypothesis that the population parameter is equal to the company specification is referred to as the null hypothesis. A null hypothesis is often one of status quo and is identified by the symbol H0. Whenever a null hypothesis is specified‚ an alternative hypothesis is also
Premium Null hypothesis Type I and type II errors Statistical hypothesis testing
Hypothesis testing using the binomial distribution Chapter assessment 1. Sweets called “Scruffies” are sold in packets of 18. Scruffies come in a variety of colours‚ and market research shows that red is the most popular. Scruffies are packed randomly‚ and on average 25% are red. (i) Find the probability that a packet contains no more than 6 red Scruffies. [2] (ii) Find the probability that a packet contains exactly 4 red Scruffies. [2] Because of a fault in the packing machine
Free Null hypothesis Statistics Statistical hypothesis testing
as shown in the ClassPak. The statement in parentheses refers to the Alternative Hypothesis for each. 5. On average IU students go out 2.5 nights or more per week. (The alternative hypothesis is that IU students go out less than 2.5 times per week.) Ho: μNights >= 2.5 Ha: μNights < 2.5 6. On average IU students drink exactly 5 1/2 drinks in an average night out. (The alternative hypothesis is that IU students do not drink 5 1/2 drinks per night out.) Ho: μDrinks
Premium Null hypothesis Statistical hypothesis testing Hypothesis
Elements of a Test of Hypothesis 1. Null Hypothesis (H0 ) - A statement about the values of population parameters which we accept until proven false. 2. Alternative or Research Hypothesis (Ha )- A statement that contradicts the null hypothesis. It represents researcher’s claim about the population parameters. This will be accepted only when data provides sufficient evidence to establish its truth. 3. Test Statistic - A sample statistic (often a formula) that is used to decide whether to reject H0
Premium Statistical hypothesis testing Null hypothesis Statistics
SECURITY ANALYSIS AND PORTFOLIO MANAGEMENT | EFFICIENT MARKET HYPOTHESIS | | MRIGANKA DAS‚ 13/09 | INTRODUCTION: The Efficient Market Hypothesis and Random Walks One of the early applications of computers in economics in the 1950s was to analyze economic time series. Business cycle theorists believed tracing the evolution of several economic variables over time would clarify and predict the progress of the economy through boom and bust periods. A natural candidate for analysis
Premium Stock market Fundamental analysis Financial markets
1981‚ The relationship between return and market value of common stocks‚ Journal of Financial Economics 9‚ 3-18. Basu‚ Sanjoy‚ 1977‚ Investment performance of common stocks in relation to their price-earnings ratios: A test of the efficient market hypothesis‚ Journal of Finance 32‚ 663-682. Beebower‚ Gilbert L. and Gary L. Bergstrom‚ 1977‚ A performance analysis of pension and profit-sharing portfolios: 1966-75‚ Financial Analysts Journal 33‚ (May/June)‚ 31-42. Berkowitz‚ Stephen A.‚ Louis D. Finney
Premium Fundamental analysis Stock market Financial markets
The Efficient Market Hypothesis(EMH) was first given by Samuelson(1965)‚Fama(1965) and Mandelbrot(1966).It was based on “Random walk Theory”‚ and stated that since the market price will be affected by new information in the market‚ all available information have been fully reflected on the security price. There are three assumptions for the Efficient Market Hypothesis: 1.All investors are independent‚ rational‚ well-informed and hope for the highest profit; 2.All information are free and randomly
Premium Stock market Fundamental analysis Prediction
One Sample Hypothesis Testing Paper Do Major League Baseball teams with higher salaries win more frequently than other teams? Although many people believe that the larger payroll budgets win games‚ which point does vary‚ depending on the situation. “…performances by individual players vary quite a bit from year to year‚ preventing owners from guaranteeing success on the field. Team spending is certainly a component in winning‚ but no team can buy a championship.” (Bradbury). For some‚ it’s hard
Premium Null hypothesis Major League Baseball Statistical hypothesis testing
The Efficient Markets Hypothesis The theory of Efficient Markets Hypothesis (EMH) asserts that (1) stocks are always in equilibrium and (2) it is impossible for an investor to “beat the market” and consistently earn a higher rate of return than is justified by the stock’s risk. Those who believe in the EMH note that there are 100‚000 or so fulltime‚ highly trained‚ professional analysts and traders operating in the market‚ while there are fewer than 3‚000 major stocks. Therefore‚ if each analyst
Premium Stock market Fundamental analysis Stock
Statistics for Business Intelligence – Hypothesis Testing Index: 1. What is Hypothesis testing in Business Intelligence terms? 2. Define - “Statistical Hypothesis Testing” – “Inferences in Business” – and “Predictive Analysis” 3. Importance of Hypothesis Testing in Business with Examples 4. Statistical Methods to perform Hypothesis Testing in Business Intelligence 5. Identify Statistical variables required to compute Hypothesis testing. a. Correlate computing those
Premium Statistical hypothesis testing Statistics Statistical inference