Hello here is my report part B and example of the poster. can you help me to do with this assignment

thanks

o TN 12:27 o T @) Using the data collected in Part A of this Report and using EXCEL, answer the following questions. QUESTION 1 [10 marks] (a) Which graphical chart should be used if the researcher is interested in comparing data from different categories? Explain the reason for the selection of this graphical chart. Construct the chart and describe what you can observe. 5 marks Answer: The graphical chart that should be used when comparing data from different categories is a histogram. The reason for this is because histograms are used to show the distributions. As you can see below, you can see the distributions between Jan-Dec 2018, and Jan-Dec 2019. Jan-Dec 2018/Number of incidents and Jan-Dec 2019/Number of incidents e 2,500 2,000 Domastic violence related Non-domestic violence Sexual assault assault related assault Blacktown Local Government Area/Offence type (b) Which graphical technique or chart should be used if the researcher is interested in describing the proportion of one categorical variable in your data? Explain the reason for the selection of this graphical chart. Construct the chart and describe what you can observe about the proportion. 5 Marks The graphical chart that should be used in describing the proportion of one categorical variable is a circle graph. The reason this graph would be well used is that it can be used to easily show the results of an investigation in a proportional manner, as well as being able to visualise information and data. As you can see below, you are able to compare for example the number of sexual assaults in comparison to attempted murder. WSUIC 2024.1 Statistics for Academic Purposes Report Page 3 of 7 ____ Attempted murder Attempted murder i - "2 ,__ Domestic violenc.. ~___Non-domestic viol. .. Malicious damag. .. y - ' Sexual assault Fraud f Steal from person Robbery without... Steal from dweiling Stoal from retail s... _Robberywitha w... $bdlmmww.. - Bmakwden!m Moor vahicle theft Broak and enter ... QUESTION 2 [6 marks] A researcher wishes to use graphical descriptive methods to present a summary of the data. (@) Consider one column with a numerical variable in your dataset. How many observations do you have in this column? The researcher then suggests using 6 class intervals to construct a histogram for this var/SSEEEGEGEEETEIREEESIEEER dccided on the number of 5.0% 5.0% Motor vehicle theft Break and enter n... 12:28 QUESTION 2 [6 marks] A researcher wishes to use graphical descriptive methods to present a summary of the data. (a) Consider one column with a numerical variable in your dataset. How many observations do you have in this column? The researcher then suggests using 6 class intervals to construct a histogram for this variable. Explain how the researcher would have decided on the number of class intervals as 6. 2 marks Answer: There are 20 observations in the column. The reason as to why you should use 6 class intervals is because if you use fewer than 5 classes, you risk losing too much information, and if you use more than 15 classes then the data may not be sufficiently summarised. (b) The researcher suggests using 6 classes for the numerical variable selected in part a). Explain how the researcher would have decided the class. 1 mark Answer: The researcher would have needed to calculate the class width to determine how much you need to increase for each class by. (c) Draw a histogram for this variable using appropriate BIN values from part (b) and comment on the shape of the distributions. 3 Marks The shape of the distribution is a bimodal distribution. WSUIC 2024.1 Statistics for Academic Purposes - Report Page 4 of 7 NSW Recorded Crime Statistics 2019 Frequency 9.5-30.5 30.5-51.5 51.5-72.5 72.5-93.5 93.5-114.5 114.5-135.5 No. of Incidents QUESTION 3 [4 marks] The researcher wishes to use numerical descriptive measures to summarize the data. a) Prepare a numerical summary report for the one variable in your data set by including summary measures such as mean, median, range, variance, standard deviation, smallest and largest values and the three quartiles, for each variable. 2 marks Answer: Summary Report Mean 53.6 Median 56 Mode 71 Range 117.00 Variance 1,177.83 Standard Deviation 34.32 Smallest Value 10 Largest Value 127.00 Q1 20.25 Q2 56.00 Q3 82.75 IQR 62.50 Upper Fence 176.50 Lower Fence 5 of 7 -73.50 b) Comment on the descriptive statistics. 2 marks Answer: The Measures of Central skewed-left. As forWUCD1IUN O [4 1TIdIKS] . o N The 'rkga*%ishes to use numerical descriptive measures to summarizathe datae - ) a) Prepare a numerical summary report for the one variable in your data set by including summary measures such as mean, median, range, variance, standard deviation, smallest and largest values and the three quartiles, for each variable. 2 marks Answer: Summary Report Mean 53.6 Median 56 Mode 7 Range 117.00 Variance 1,177.83 Standard Deviation 34.32 Smallest Value 10 Largest Value 127.00 l 20.25 Q2 56.00 Q3 82.75 IQR 62.50 Upper Fence 176.50 Lower Fence -73.50 b) Comment on the descriptive statistics. 2 marks Answer: The Measures of Central Tendency shows that the distribution is skewed-left. As for the Measures of Variability, it can be seen that the middle half of the data has a spread of 62 incidents. After constructing a scatter diagram, the conclusion that was drawn was that there is no linear relation. WSUIC 2024.1 Statistics for Academic Purposes Report Page 50f 7 QUESTION 4 [5 marks] Write a statistical report. This report should include: * What question you had in mind Description of your data set Statistical results obtained in Excel. (descriptive statistics, tables or figures supporting your conclusions) * Conclusion (Whether or not you were successful in answering your research question) Answer: The dataset presented can help determine whether or not there is a relationship between the number of incidents to the offence type. The data that was used throughout this report is from the NSW Recorded Crime Statistics 2019. The data presented is the number of incidents in relation to their offence type. By using this data set | was able to draw statistical results from the descriptive statistics, as well as histograms, a circle graph and scatter diagram to determine whether or not there is a relationship between the number of incidents to the offence type. From the histogram of the number of incidents, it was shown that it was a typical bimodal histogram, which meant that we were dealing with sampling 2 or more different populations. This meant that because there is a number of different populations, there would other factors that contributed to the way this question should be answered. With this, | was able to find out the Measures of Central Tendency, which showed that the distribution was skewed-left. Lastly, the last determining statistical result obtained was from constructing a scatter diagram, which drew the conclusion that there was no linear relation amongst the points. This meant that there is no relation between the number of incidents from 2019 to the offence type. 12:33 D edge://external-file 4 of 4 EXAMPLE OF A POSTER: GUIDELINES AND RESOURCES WSUIC- 2024.1 Statistics for Academic Purposes - Report Part C Page 3 of 4 1. You need not to use complete sentences throughout your poster. Remember that you are summarising your work. A mixture of short sentences and bullet point phrases will allow viewers to quickly read your content. 2. If you are having difficulty or you want feedback on your ideas-in-progress contact your teacher. 3. An example of a poster is shown below: Southern Flounder Exhibit Temperature-Dependent Sex Determination J. Adam Luckenbach". John Godwin and Russell Borski Department of Zoology. Box 7617. North Carolina State University, Raleigh, NC 27695 Introduction Growth Does Not Differ by Sex Southern flounder (Paralichthys lethostigma) Temperature Affects Sex Determination Support variate manenes and show great promise -female grow faster and reach larger adult sizes than males Therefore, information on sex determination that might increase the ratio of female flounder is important for aquaculture. Body Weight (9) Objective % Females This study was conducted to determine whether southern flounder exhibit temperature-dependent sex determination (TSD), and if growth is affected by rearing temperature." Temperature ("C) Methods Results Temperature ("C) Southern flounder broodstock were strip Sex was discernible in most fish greater than 120 mm long spawned to collect eggs and sperm for in "P