mathematics question, need the process not just a result. thanks. plz find file attached.
1. Understand the pitfalls and benefits of statistics
2. Distinguish between the different survey sampling methods
3. Summarise numerical data and present it both by means of tables and charts
4. Be able to calculate and interpret descriptive summary measures
5. Develop simple regression models and interpret the regression coefficients
6. Understand basic probability concepts
7. Understand when to apply different distributions, their properties and how to calculate
associated probabilities
8. Develop confidence interval estimates for the mean and the proportion
9. Perform Hypothesis Tests and interpret the results
Assessment Task – Tutorial Questions Assignment 1
Unit Name: Applied Quantitative Methods
Assignment: Tutorial Questions Assessment 1
Purpose: This assignment is designed to assess your level of knowledge of the key topics covered in this unit
The questions to be answered are:
Based on the following table, calculate the three (3) measures of central locations and briefly discuss what each statistic tells you.
| 23 | 30 | 25 | 28 | 36 | 26 | 38 | 45 | 52 | 22 |
| 33 | 24 | 29 | 41 | 39 | 38 | 48 | 55 | 44 | 19 |
| 18 | 31 | 34 | 45 | 75 | 61 | 72 | 29 | 27 | 55 |
Refer to the table below. Consider the relationship between the number of houses sold (Y) and the mortgage rate (X). The values of X and Y for twelve (12) months are shown in the table below.
| M-Rates | 8 | 9.5 | 7.5 | 11 | 8.5 | 10 | 10.5 | 7 | 7.5 | 11 | 9 | 8 |
| Houses sold | 188 | 145 | 181 | 137 | 157 | 148 | 140 | 203 | 188 | 144 | 150 | 166 |
Based on that,
In seeking to determine how influential advertising is, the management of a recently established retail chain collected data on sales revenue and advertising expenditure from its’ stores over the last ten
(10) weeks. The table below shows the data collected:
| Advertising Expenditure ($ 000) | 3 | 5 | 7 | 6 | 3.5 | 4 | 4.5 | 7 | 7.5 | 8.5 |
| Sales ($ 000) | 50 | 250 | 700 | 450 | 75 | 150 | 200 | 750 | 800 | 1,100 |
A retail shop manager analyzed the relationship between sales and the method of payments. Based on his analysis, he has produced the following joint probability table, as shown below:
| Size of purchase | Method of payment | ||
| Cash | Credit card | Debit Card | |
| Under $20 | 0.09 | 0.03 | 0.04 |
| $20 -$100 | 0.05 | 0.21 | 0.18 |
| Over $100 | 0.03 | 0.23 | 0.14 |
Explain your answer. (4 marks)
P(Ā) =0.1
P(B/A) =0.4 P (B/ Ā) =0.7
(4 marks)
(6 marks)
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