Statistics
BCO127 Applied Management Statistics Task brief & rubrics
Task: Mid-term assignment
You are asked to answer all the questions in the proposed case.
This is an individual task. All students must submit their own file in the midterm evaluation submission point.
In a sample of 30 individuals of the total population living in a city, we got the following info about their incomes:
- People with no incomes : 1
- People getting 500 €/month: 2
- People getting 1000 €/month: 3
- People getting 1500 €/month: 5
- People getting 2000 €/month: 8
- People getting 2500 €/month: 5
- People getting 3000 €/month: 3
- People getting 3500 €/month: 2
- People getting 4000 €/month: 1
Ex. 1. Find the Arithmetic Mean (average) and the Geometric Mean
Ex. 2. Find the Median and the Mode
Ex. 3. Find the Deviation of each one of the values, and find the result of the total addition of them all
Ex. 4. Find the Variance and the Standard Deviation
Ex. 5. Draw a columns graph so that we can see the distribution of the above data according to the frequency
Ex. 6. According to that sample (let’s assume it is representative of the population and that it is a normal distribution), if you ask an individual randomly, what is the probability that he/she gets a monthly income between 1062€ and 2938€?
Ex. 7. According to that sample (let’s assume it is representative of the population and that it is a normal distribution), if you ask an individual randomly, what is the probability that he/she gets a monthly income lower than 1062€?
Submission: Week 7 – Due 14th March 2020, 23:59 CEST, Via Moodle (Turnitin)
Weight: This task is a 40% of your total grade for this subject, as indicated in the course outline
Submission file format: Word document with all the answers, clearly identifying all steps, results, and including comments for each step.
Formalities:
· Wordcount: 1000 words aprox
· Font: Arial 12 pts.
· Text alignment: Justified.
· The in-text References and the Bibliography have to be in Harvard’s citation style.
This task assesses the following learning outcomes:
· Understand concepts, formulas, and techniques of statistics through applied examples.
· Understand statistical language and develop statistical thinking.
· Explain statistical models, distributions, and regression.
· Interpret results of statistical analysis.
Rubrics