Determine whether the model is useful for predicting

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Reference no: EM133778635

Biostatistics

Learning Outcome 1: Select an appropriate biostatistical methodology to analyse health, biology, and/or environmental data.
Learning Outcome 2: Perform commonly used hypothesis tests as appropriate.
Learning Outcome 3: Conduct statistical analyses using a specialised software package (SPSS).
Learning Outcome 4: Report statistical findings in a scientific manner.

Assignment 2 is an end-of-semester assessment. Brief feedback will be provided via the following mechanisms:

Individual feedback: a comment from your marker about 1 item to focus on in your future practice.

Purpose
This assignment will provide you the opportunity to further develop your skills in linear regression. Chi-square analysis, and non-parametric analysis.

Question 1
In week 9. Kat collected data on M&Ms by distributing 'fun size' packets to all the students who attended class that day and asking them to enter data about the number and colours of M&Ms in the packet. The following distribution of colours of M&Ms was reported:

• Brown - 17%
• Blue - 25%
• Red - 17%
• Green - 14%
• Yellow - 12%
• Orange - 15% UPDATED!

Do these percentages from 'fun size' packets reflect the distribution of M&Ms in the standard 49g packet of M&Ms sold in Perth? Use the data from the 'M&Ms' worksheet in your data file and an alpha of 0.05.

Question 2
A Director of a Public Health program is looking for staff to join their team for a new campaign. As all staff have expressed interest in the role, the Director would like to use the personal characteristics of staff to help the selection by predicting the potential success y at recruiting new participants of each of the candidates. Use the following variables in the model as independent variables and the data from the 'staff* worksheet
• assertiveness
• confidence
• enthusiasm
• communication skills
• initiative

A Determine whether the model is useful for predicting their success at recruiting new participants. and identify which independent variables, if any, contribute significantly to the prediction. Include an interpretation of the 95% CIs for each population parameter coefficient.

B. The Director also like to predict the success of recruiting new participants based on the following personal characteristics:
Assertiveness = 70
Confidence = 87

Enthusiasm = 81
communication skills = 60
initiative = 40

Include all relevant statistical information in your answer.

Question 3

In early 2024. WA media reported that a large international soft drink manufacturer was extracting groundwater from the Perth Hills to produce their bodied still water range of products. After hearing the media report, sampled Perth tap water and bottled water produced in Perth and the concentration of bicarbonates (in mg/I.) provided in the worksheet Water' in your data set Using alpha = 0.05, test the claim that there is no difference in the bicarbonate levels of tap and bottled water in Perth.

Reference no: EM133778635

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