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What are the best practices for reporting your descriptive statistics findings?

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Understanding the nuances of descriptive statistics is crucial for any professional tasked with interpreting data. Descriptive statistics provide a summary of the central tendencies, dispersion, and shape of a dataset's distribution, without making conclusions about the population from which the sample was drawn. They offer a way to turn raw data into information that can be understood and communicated. When reporting these findings, it's essential to adhere to best practices to ensure clarity, accuracy, and relevance. This article delves into the key strategies for effectively conveying your descriptive statistics results, ensuring that your audience can easily grasp the insights derived from your data analysis.

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Rahul Sangwan

Private Equity | Investor Reporting | Wipro | Ex- Incedo | Ex- Infosys
Joao Victor Thomé

Indicadores | Data Analytics | Data Thinking |Power BI | Microsoft Power Platform | Performance |Desenvolvedor…
Taghogho Apochi

Clinical Trial Manager, research and data manager.

1 Clarity Counts

When you present descriptive statistics, clarity should be your top priority. Avoid jargon and technical language unless it is essential and commonly understood by your audience. Use simple terms to explain measures like mean, median, and mode. For variability, discuss range, interquartile range, variance, and standard deviation in a way that relates to the practical implications of the data. Visual aids like graphs and charts can be invaluable for helping your audience visualize the distribution and key metrics of your dataset. Always label these visuals clearly and ensure that they complement the narrative of your findings rather than replace it.

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Guillaume OLIVERES

Responsable commercial agence Immobilière Laforêt
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Lors d'une réunion, j'ai présenté des statistiques de vente avec trop de jargon. Tout le monde était perdu. J'ai alors simplifié mon langage et utilisé des graphiques clairs. Depuis, je rappelle toujours : "La clarté compte plus que tout."

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2 Be Precise

Precision in reporting statistics means providing exact values when necessary and appropriate. This includes specifying the measures of central tendency and dispersion with their respective values. For example, report the mean (average) or median (middle value) to reflect the central tendency, and use standard deviation or range to express how much the values in your dataset vary. If you mention percentages, make sure they add up to 100% to avoid confusion. Remember, precise reporting not only enhances credibility but also provides a clear picture of your data's characteristics.

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Guillaume OLIVERES

Responsable commercial agence Immobilière Laforêt
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Lors d'une réunion cruciale, j'ai partagé une le?on précieuse sur la communication des statistiques. En simplifiant mes rapports de vente, j'ai réalisé l'importance de la précision. J'ai commencé à spécifier les mesures clés comme la moyenne et l'écart-type pour une meilleure compréhension. J'ai également veillé à ce que tous les pourcentages totalisent 100 % pour éviter toute confusion. Cette approche a non seulement renforcé la crédibilité de mes rapports, mais a également offert une vue claire de nos données de vente. Depuis lors, je répète toujours à mon équipe : "La précision dans les statistiques est essentielle."

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3 Context Matters

Always provide context for your statistics to help your audience understand why these numbers matter. Explain how your findings relate to the bigger picture or to real-world applications. For instance, if you're reporting on customer satisfaction scores, discuss what the average score means for customer experience and business outcomes. By framing your statistics within a relevant context, you enable your audience to grasp the implications of the data and its potential impact on decision-making processes.

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Joao Victor Thomé

Indicadores | Data Analytics | Data Thinking |Power BI | Microsoft Power Platform | Performance |Desenvolvedor PowerApps
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é importante apresentar um bom Storytelling. Fazer com que a outra parte entenda o contexto é uma parte crucial e o Storytelling é de grande valia nesta etapa

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4 Consistency Is Key

Maintain consistency in your reporting to prevent misunderstandings. Use the same units of measurement throughout your report and stick to a single format when presenting your findings. If you start with a bar chart, consider using similar charts for comparable data sets to make it easier for your audience to draw comparisons. Consistent use of terminology is also important; if you begin by referring to 'average', do not switch to 'mean' halfway through unless you've explained that they are synonymous.

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Guillaume OLIVERES

Responsable commercial agence Immobilière Laforêt
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En tant qu'animateur formateur en immobilier, j'ai appris qu'une communication cohérente est essentielle pour des rapports clairs. J'ai constaté que l'utilisation uniforme des unités de mesure et de formats de présentation simplifie la compréhension des résultats. Par exemple, j'ai maintenu la même méthodologie graphique pour des ensembles de données similaires, facilitant ainsi les comparaisons pour mes apprenants. De plus, j'ai souligné l'importance de la terminologie cohérente pour éviter toute confusion. En commen?ant par des termes spécifiques tels que "moyenne", j'ai veillé à ne pas changer de terminologie sans explication, garantissant ainsi une communication claire et compréhensible pour tous

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5 Transparency Triumphs

Transparency in reporting involves disclosing all relevant aspects of your statistical analysis. This includes mentioning any limitations of the data, such as small sample sizes or potential biases that might affect the results. If you've excluded any data points, explain why and how this decision might influence the findings. Being transparent builds trust with your audience and allows them to critically assess the validity and reliability of your results.

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Guillaume OLIVERES

Responsable commercial agence Immobilière Laforêt
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La transparence dans les rapports commerciaux signifie divulguer tous les aspects pertinents de l'analyse statistique, y compris les limites des données. Cela renforce la confiance avec les clients en leur permettant d'évaluer la validité des résultats.

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6 Engage Effectively

Lastly, engage with your audience by anticipating their questions and concerns. Consider what they might want to know about the data and its analysis, and address these points proactively in your report. Use a tone that is professional yet approachable, and invite feedback on your presentation of the statistics. Effective engagement means not only presenting data but also fostering a dialogue around it, which can lead to more meaningful insights and actions based on your findings.

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Rahul Sangwan

Private Equity | Investor Reporting | Wipro | Ex- Incedo | Ex- Infosys
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Knowing your audience is the first step in presenting statistical data effectively. You need to understand their background, their level of knowledge about the topic, and what they expect from your presentation. This understanding will guide you in choosing the right statistical data and the best way to present it.

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Guillaume OLIVERES

Responsable commercial agence Immobilière Laforêt
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Je pense qu'engager efficacement les clients est crucial dans la vente. Cela crée des relations solides, favorisant la fidélisation et la satisfaction. En anticipant leurs besoins, en utilisant un langage accessible et en les encourageant à participer, on renforce la confiance et la compréhension mutuelle. Cet engagement conduit à des décisions éclairées et à des relations durables, bénéfiques tant pour les clients que pour l'entreprise.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Taghogho Apochi

Clinical Trial Manager, research and data manager.
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As a clinical data manager and clinical scientist, I enhance my descriptive statistical skills by: 1. First, fulling understanding my clinical studies and how descriptive statistics is used to enhance my work. 2. I work with well established clinical trial dataset 3. Shape up my proficiency in R, SAS, SPSS, or Python through more training. 4. Engage in critical analysis and creating visualizations with tools like Excel, ggplot2 and Tableau. 5. Collaborating with peers and engaging in peer review. 6. Continue in career development 7. Develop reports and SOPs. 8. Making my contribution a vital.part of the whole work. By combining theory with practice and using appropriate tools, I continuously improve my descriptive statistical skills.

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What are the best practices for reporting your descriptive statistics findings?

1

2

3

4

5

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1 Clarity Counts

2 Be Precise

3 Context Matters

4 Consistency Is Key

5 Transparency Triumphs

6 Engage Effectively

7 Here’s what else to consider

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