Question catalogue: Statistics Self-Study Module Master's programme Media and Communication Science If you are master student of the master programme “Media and Communication Science” and have to fulfill the additional requirement: Self-Study Module Statistics, you have to answer these list of 42 questions. Please answer the following questions concerning statistical methods in social science briefly. Helpful information concerning the questions can be found in the Reader: “Statistics”. Enjoy yourself
Words: 3576 - Pages: 15
Broadly speaking, there are two approaches to demand forecasting. Survey method and Statistical method are further sub-divided into various methods. The former obtains information about the consumers’ intentions by conducting consumers’ interviews, through collecting experts’ opinions. The later using past experience as a guide and by extrapolating past statistical- relationships suggests the level of future demand. Survey methods are found appropriate for short term forecasting or demand estimation
Words: 2994 - Pages: 12
have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. A Confidence interval is a term used in inferential statistics that measures the probability that a population or sample parameter will be fall between two set values. The confidence interval can take any number of probabilities, with the most common being 95% or 99% (Investopedia.com, n.d.). To find the
Words: 580 - Pages: 3
A). B). Having a population mean of 39.85 and a population standard deviation of 2.07; the normal curve that should be used for chest circumferences is N=39.85, 207 C). Use the table on page 254 to find the percentage of militiamen in the survey with chest circumferences between 36 and 41 inches, inclusive. Note: As the circumferences were rounded to the nearest inch, you are actually finding the percentage of militiamen in the survey with chest circumference between 35.5 and 41.5 inches.
Words: 256 - Pages: 2
RESEARCH DESIGN FOR RICE HULL AS AN ALTERNATIVE SUBSTITUTE CHARCOAL Submitted By: John Paul Apolinario Jose Ramil Gaña Eugene Denamarca Introduction: This is the research design for the comparative/experimental study named as “Rice hull as an Alternative Substitute to Coconut Charcoal”. This contains the blueprint of the tests needed to conclude whether Rice hulls can equal or surpass Coconut as charcoal in different aspects. Test 1: In this test, we will compare the
Words: 310 - Pages: 2
Tests of Hypotheses: z-test and t-test 0801-HypothesisTests.doc Page 1 of 4 NOTES TESTS OF HYPOTHESES As was mentioned earlier, sometimes we cannot survey or test all persons or objects; therefore, we have to take a sample. From the results of analysis from the sample data, we can predict the results from the population. Some questions that one may want to answer are 1. Are unmarried workers more likely to be absent from work than married workers? 2. Are the sixth graders in a certain school significantly
Words: 1347 - Pages: 6
Assignment front sheet | Learner name | ------------------------------------------------- Assessor name | Aye Chan Myat Phyo | Daw Nwe Nwe Yee | Date issued | Completion date | Submitted on | 16.07.14 | 26.08.14 | 26.08.14 | Qualification | Unit number and title | Edexcel BTEC Level 4 HNC Diploma in Business | Unit-10 Business Decision MakingD/601/0578 | A | | Assignment title | Business Decision Making | In this assessment you will have opportunities to provide evidence against
Words: 2409 - Pages: 10
Statistics in Business QNT 351 July 21, 2014 Statistics In Business Statistics is a type of mathematical analysis that involves the use of qualified models, summaries, and representations for a given set of empirical data or real world observations (Investopedia, 2014). Levels and Types of Statistics There are two different levels of statistics, descriptive and inferential statistics. Descriptive statistics involves methods of displaying, organizing, as well as describing
Words: 400 - Pages: 2
QUESTION 1 (20 MARKS) a. Discuss the difference between a statistic and a parameter. (2 marks) Statistic: numerical value summarizing all data of a sample, therefore characteristic of the sample. (1m) Parameter: numerical value summarizing all data of a population, therefore characteristic of the population. (1m) b. State whether the following statement is true or false. (6 marks) i. Eye color would be an example of qualitative
Words: 1173 - Pages: 5
)⎜ ⎟ ⎜ ⎟ ⎝ n ⎠ p ± ( zcriticalvalue ) p (1 − p ) n When σ unknown: ⎛ s ⎞ x ± (tcriticalvalue )⎜ ⎟ ⎜ ⎟ ⎝ n⎠ 3. SAMPLE a. Calculate or identify the descriptive statistics: Descriptive statistics needed: • the sample mean • standard deviation • sample size b. Check the conditions for normality: population is normal OR n ≥ 30 Descriptive statistics needed: • the sample proportion • sample size np ≥ 10 AND n(1 − p ) ≥ 10 www.rit.edu/ASC Page 1 of 2 4. STATISTICAL RESULTS a. Find the required
Words: 395 - Pages: 2
