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1. [2.5 points]. Run a thorough univariate and bivariate graphical and statistical
examination of your data. Do you notice any irregularities in your data? How does your
data look like? Normal, skewed?
Tips. Make sure to number and label each table and graph. (e.g., Table 1. Summary
statistics for HBA missing data set).
Provide a title and a detailed interpretation of each chart.
Remember the rule of thumb: for any table and/or graph, you can have at most 3
genuine findings. If you have more, you have probably made them up (����).
2. [2.0 points]. Missing values analysis. Do you have any missing values in your data? If
yes, determine the extent of missing values per variable and case. Are there any
variables/cases that you need to delete? Use ≥ 30% of missing values as the threshold
for deletion.
a. After deleting variables and/or cases with ≥ 30% missing data, construct a
summary statistic for your data. Do you still observe any missing values? If yes,
decide on how to impute these missing values. Limit your imputation
technique to mean or median substitution. Justify your choice.
3. [2.0 points]. Detection and treatment of outliers.
Math and Statistics for Analytics Nov 2020
3
Are there any univariate outliers in your dataset? Use both the Tukey´s fences and z
score approach (with z threshold set at 2.5 since you have a small sample size) to
identify them. Do you notice any discrepancy between the two methods? Explain.
How many values were detected as outliers? Will you keep these outliers or delete
them? Justify your decision. Discuss impact of your decision on remaining data
analysis.
4. [2.5 points]. After treating missing values and outliers, construct a summary statistic of
your data. Compare and contrast your results with question 1. Develop two
hypothetical questions that you can answer using graphical and/or empirical
5. [1.0 point]. In the case that you did not treat missing values and/or outliers, what
would be the impact on subsequent data analysis.
Dataset: HBAT Industries Dataset – HBAT missing. (You can access the dataset in Additional
Documentation / Assignment 1)
Context: HBAT is a manufacturer of paper products. Hypothetical dataset based on surveys of
HBAT customers completed on a secure web site managed by an established marketing
research company.
Sample size: 70 observations on 14 separate variables based on a market segmentation study
of HBAT customers: newsprints industry and the magazine industry.
Categories of data:
• Numerical variables: V1 to V9.
• Categorical variable: V10 to V14.
Additional information related to the variables is available in the excel file (HBAT missing) in
Pre-requisite: before working on this assignment, you need to watch the series of videos: Data
examination – Excel (Campus Online / Additional Documentation / Module 2 / Recorded
Videos)
For detecting outliers, you are already familiar with the boxplot method as well as the Tukey´s
fences (video), you can also use the z score approach, to calculate the z value for each
observation, you can use Excel built-in function (STANDARDIZE).
For missing value analysis, you can use the COUNT function to count the numbers of cells
containing data in a range that contains numbers and use it to determine the extent of missing
values per case and per variable.
Introduction to data analysis in Excel: https://www.youtube.com/watch?v=Rs4082ewxgA
Math and Statistics for Analytics Nov 2020

Compelling correspondence is essential to the achievement all things considered but since of the changing idea of the present working environments, successful correspondence turns out to be more troublesome, and because of the numerous impediments that will permit beneficiaries to acknowledge the plan of the sender It is restricted. Misguided judgments.In spite of the fact that correspondence inside the association is rarely completely open, numerous straightforward arrangements can be executed to advance the effect of these hindrances.

Concerning specific contextual analysis, two significant correspondence standards, correspondence channel determination and commotion are self-evident. This course presents the standards of correspondence, the act of general correspondence, and different speculations to all the more likely comprehend the correspondence exchanges experienced in regular daily existence. The standards and practices that you learn in this course give the premise to additionally learning and correspondence.

This course starts with an outline of the correspondence cycle, the method of reasoning and hypothesis. In resulting modules of the course, we will look at explicit use of relational connections in close to home and expert life. These incorporate relational correspondence, bunch correspondence and dynamic, authoritative correspondence in the work environment or relational correspondence. Rule of Business Communication In request to make correspondence viable, it is important to follow a few rules and standards. Seven of them are fundamental and applicable, and these are clear, finished, brief, obliging, right, thought to be, concrete. These standards are frequently called 7C for business correspondence. The subtleties of these correspondence standards are examined underneath: Politeness Principle: When conveying, we should build up a cordial relationship with every individual who sends data to us.

To be inviting and polite is indistinguishable, and politeness requires an insightful and amicable activity against others. Axioms are notable that gracious “pay of graciousness is the main thing to win everything”. Correspondence staff ought to consistently remember this. The accompanying standards may assist with improving courtesy:Preliminary considering correspondence with family All glad families have the mystery of progress. This achievement originates from a strong establishment of closeness and closeness. Indeed, through private correspondence these cozy family connections become all the more intently. Correspondence is the foundation of different affiliations, building solid partners of obedient devotion, improving family way of life, and assisting with accomplishing satisfaction (Gosche, p. 1). In any case, so as to keep up an amicable relationship, a few families experienced tumultuous encounters. Correspondence in the family is an intricate and alluring marvel. Correspondence between families isn’t restricted to single messages between families or verbal correspondence.

It is a unique cycle that oversees force, closeness and limits, cohesiveness and flexibility of route frameworks, and makes pictures, topics, stories, ceremonies, rules, jobs, making implications, making a feeling of family life An intelligent cycle that makes a model. This model has passed ages. Notwithstanding the view as a family and family automatic framework, one of the greatest exploration establishments in between family correspondence centers around a family correspondence model. Family correspondence model (FCP) hypothesis clarifies why families impart in their own specific manner dependent on one another ‘s psychological direction. Early FCP research established in media research is keen on how families handle broad communications data. Family correspondence was perceived as an exceptional scholastic exploration field by the National Communications Association in 1989. Family correspondence researchers were at first impacted by family research, social brain science, and relational hypothesis, before long built up the hypothesis and began research in a family framework zeroed in on a significant job. Until 2001, the primary issue of the Family Communication Research Journal, Family Communication Magazine, was given. Family correspondence is more than the field of correspondence analysts in the family. Examination on family correspondence is normally done by individuals in brain science, humanism, and family research, to give some examples models. However, as the popular family correspondence researcher Leslie Baxter stated, it is the focal point of this intelligent semantic creation measure making the grant of family correspondence special. In the field of in-home correspondence, correspondence is normally not founded on autonomous messages from one sender to one beneficiary, yet dependent on the dynamic interdependency of data shared among families It is conceptualized. The focal point of this methodology is on the shared trait of semantic development inside family frameworks. As such, producing doesn’t happen in vacuum, however it happens in a wide scope of ages and social exchange.

Standards are rules end up being followed when performing work to agree to a given objective. Hierarchical achievement relies significantly upon compelling correspondence. So as to successfully impart, it is important to follow a few standards and rules. Coming up next are rules to guarantee powerful correspondence: clearness: lucidity of data is a significant guideline of correspondence. For beneficiaries to know the message plainly, the messages ought to be sorted out in a basic language. To guarantee that beneficiaries can without much of a stretch comprehend the importance of the message, the sender needs to impart unmistakably and unhesitatingly so the beneficiary can plainly and unquestionably comprehend the data.>