Students are required to answer all the questions and develop an individual report addressing the specific tasks set out in the guideline below.
The grades and the hours of study/week for the students attending a course of Statistics are the following:
Student # Name Gender (0:male; Hours of Grade
1:female) study/ week
01 Anna 1 10 85
02 Robert 0 7 82
03 Catherina 1 12 91
04 Daniel 0 6 80
05 Emily 1 7 79
06 Fred 0 5 76
07 George 0 6 75
08 Henry 0 8 82
09 Ines 1 10 88
10 Johanna 1 10 86
11 Sara 1 12 93
12 Paul 0 9 86
13 Rose 1 8 81
14 Maria 1 13 90
15 Roger 0 7 84
16 Peter 0 5 77
17 Eve 1 9 84
18 Tony 0 8 80
19 Alexandra 1 7 78
20 Albert 0 9 82
Do you think that boys and girls study the same time and get the same results? (25 points) Elaborate your answer using a Test of Significance:
What do you think is the most appropriate Hypothesis Test?
What is the Null Hypothesis? And Alternative Hypothesis?
Calculate the P-values. What will be your decision?
Use the list of random digits and choose a Simple Random Sample (SRS) of six. Start at the beginning of this list and attach labels to the names. What is the sample do you obtain? (15 points)
Using this sample, do you conclude the same than in question 1) ? Justify your answer. (10 points)
Assuming the variable Grade is following a Normal Distribution, with the sample in 2) estimate the population mean with a Confidence interval of 80%, 95% and 99.9%. (20 points).
Determine the relationship between the hours of study and the grade. (30 points)
Plotting a scatter diagram of the data, what does this suggest?
Calculate the linear regression equation that best fits the data and explain the independent and dependent variables.
Calculate the correlation coefficient and what does it mean.
Estimate the grade if the time of study is 4.5 hours/week.
Wordcount: 1000-1500 words.
Cover, Table of Contents, References and Appendix are excluded of the total wordcount.
Font: Arial 12,5 pts.
Text alignment: Justified.
The in-text References and the Bibliography have to be in Harvard’s citation style.
Week 13 – Via Moodle (Turnitin).
Deadline: 9th May 2020 at 23:59 CEST.
This task is a 40% of total grade for this subject.
It assesses the following
On successful completion of this course, students will be able to:
Design and explain statistical models, perform analysis and solve real-world problems.
Understand concepts, formulas, and techniques of statistics through applied examples.
Understand statistical language and develop statistical thinking.
Interpret results of statistical analysis.
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