Assessment Task – Tutorial Questions Unit Code: HI6007 Unit Name: Statistics for Business Decisions Assignment: Tutorial Questions 1 Due: 11:30pm 15th May 2020 Weighting: 25% Total Marks: 50 marks...

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Assessment Task – Tutorial Questions Unit Code: HI6007 Unit Name: Statistics for Business Decisions Assignment: Tutorial Questions 1 Due: 11:30pm 15th May 2020 Weighting: 25% Total Marks: 50 marks Purpose: This assignment is designed to assess your level of knowledge of the key topics covered in this unit Unit Learning Outcomes Assessed: 1. Students are able to apply appropriate business research methodologies to support decision-making process. 2. Students are able to identify and apply valid statistical techniques in a given scenario to solve business problems. 3. Students are able to justify and interpret the results of a statistical analysis in the context of critical reasoning for a business problem solving. 4. Students are able to apply statistical knowledge to summarize data graphically and statistically, either manually or via a computer package. 5. Students are able to justify and interpret statistical/analytical scenarios that best fit business solution. 6. Students are able to justify value and limitations of the statistical techniques to business decision making. Description: Each week students were provided with three tutorial questions of varying degrees of difficulty. These tutorial questions are available in the Tutorial Folder for each week on Blackboard. The Interactive Tutorials are designed to assist students with the process, skills and knowledge to answer the provided tutorial questions. Your task is to answer a selection of tutorial questions for weeks 2 to 6 inclusive and submit these answers in a single document. The questions to be answered are; Week 2 Question 1 (10 marks) In your own words, differentiate the following statistical terminologies with some examples. a. Population Parameter and Sample Statistic (2.5 marks) b. Descriptive Statistics and Inferential Statistics (2.5 marks) c. Nominal Scale and Ordinal Scale (2.5 marks) d. Primary Data Source and Secondary Data Source (2.5 marks) Week 3 Question 2 (10 marks) Data showing the population by state in millions of people follow (The World Almanac, 2012). The dataset in Excel file 2012Population.xlsx. a. Develop a frequency distribution, a percent frequency distribution, and a histogram. Use a class width of 2.5 million. (4 marks) b. Does there appear to be any skewness in the distribution? Explain. (3 marks) c. What observations can you make about the population of the 50 states? (3 marks) Week 4 Question 2 (10 marks) Forty-three percent of Americans use social media and other websites to voice their opinions about television programs (the Huffington Post, November 23, 2011). Below are the results of a survey of 1364 individuals who were asked if they use social media and other websites to voice their opinions about Television programs Uses Social Media and Other Websites to Voice Opinions About Television Programs Doesn’t Use Social Media and Other Websites to Voice Opinions About Television Programs Female 395 291 Male 323 355 a. Show a joint probability table. (2 marks) b. What is the probability a respondent is female? (2 marks) c. What is the conditional probability a respondent uses social media and other websites to voice opinions about television programs given the respondent is female? (3 marks) d. Let F denote the event that the respondent is female and A denote the event that the respondent uses social media and other websites to voice opinions about television programs. Are events F and A independent? (3 marks) Week 5 Question 3 (10 marks) The average starting salary for this year's graduates at a large university (LU) is $20,000 with a standard deviation of $8,000. Furthermore, it is known that the starting salaries are normally distributed. a. What is the probability that a randomly selected LU graduate will have a starting salary of at least $30,400? (3 marks) b. What is the probability that a randomly selected LU graduate will have a salary of exactly $30,400? (2 marks) c. Individuals with starting salaries of less than $15600 receive a low income tax break. What percentage of the graduates will receive the tax break? (2 marks) d. If 189 of the recent graduates have salaries of at least $32240, how many students graduated this year from this university? (3 marks) Week 6 Question 3 (10 marks) The College Board reported the following mean scores for the three parts of the SAT (The World Almanac, 2009): Critical reading 502 Mathematics 515 Writing 494 Assume that the population standard deviation on each part of the test is 100. a) What is the probability that a random sample of 90 test takers will provide a sample mean test score within 10 points of the population mean of 502 on the Critical reading part of the test? (4 marks) b) What is the probability that a random sample of 90 test takers will provide a sample mean test score within 10 points of the population mean of 515 on the Mathematics part of the test? Compare this probability to the value computed in part (a). (6 marks) Submission Directions: The assignment has to be submitted via Blackboard. Each student will be permitted one submission to Blackboard only. Each student needs to ensure that the document submitted is the correct one. Academic Integrity Academic honesty is highly valued at Holmes Institute. Students must always submit work that represents their original words or ideas. If any words or ideas used in a class posting or assignment submission do not represent the student’s original words or ideas, the student must cite all relevant sources and make clear the extent to which such sources were used. Written assignments that include material similar to course reading materials or other sources should include a citation including source, author, and page number. In addition, written assignments that are similar or identical to those of another student in the class is also a violation of the Holmes Institute’s Academic Conduct and Integrity Policy. The consequence for a violation of this policy can incur a range of penalties varying from a 50% penalty through to suspension of enrolment. The penalty would be dependent on the extent of academic misconduct and the student’s history of academic misconduct issues. All assessments will be automatically submitted to SelfAssign to assess their originality. Further Information: For further information and additional learning resources, students should refer to their Discussion Board for the unit.
Answered Same DayMay 11, 2021

Answer To: Assessment Task – Tutorial Questions Unit Code: HI6007 Unit Name: Statistics for Business Decisions...

Sultana answered on May 14 2021
157 Votes
Week 2
a) A parameter is a value that describes the character of an entire population, such as the population mean. For example, the average height for adult women in the United States is a
criterion that has an accurate value - we just don't know what it is!
Population means and standard deviations are two common parameters.
Sample statistic is a characteristic of a sample. If you collect a sample and calculate the mean and standard deviation, these are sample statistics.
For example, inferential statistics allow you to use sample statistics to draw conclusions about a population.
b) Although descriptive statistics are helpful in learning things like data dissemination and center, nothing in descriptive statistics can be used for any generalization. In descriptive statistics, measurements such as average and standard deviation are stated as exact numbers.
Although diminishing statistics use somewhat similar calculations - such as mean and standard deviation - the focus is different for diminishing statistics. Infertility statistics begin with a sample and then normalize to a population. This information about the population is not stated as a number. Instead, scientists express these criteria as degrees of belief as well as a range of possible numbers.
c) Minimum level:
A nominal scale, also called a hierarchical variable scale, is defined as a scale used for variable labeling in various classifications and does not include quantitative values ​​or order.
For example, name of the city
Ordinal scale:
The simple scale is defined as a variable measurement scale that is used only to indicate the order of a variable and not the difference between each variable.
Such as frequency, satisfaction, happiness, a degree of pain, etc.
d) Primary data
One advantage of using primary data is that researchers are collecting information for the specific purposes of their studies.
Secondary...
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