Big Data Analytics

Hypothesis testing is used in business to test assumptions and theories. These assumptions are tested against evidence provided by actual, observed data. A statistical hypothesis is a statement about the value of a population parameter that we are interested in. Hypothesis testing is a process followed to arrive at a decision between 2 competing, mutually exclusive, collective exhaustive statements about the parameter’s value.

Consider the following scenario: An industrial seller of grass seeds packages its product in 50-pound bags. A customer has recently filed a complained alleging that the bags are underfilled. A production manager randomly samples a batch and measures the following weights:

Weight, (lbs)

45.6 49.5

47.7 46.7

47.6 48.8

50.5 48.6

50.2 51.5

46.9 50.2

47.8 49.9

49.3 49.8

53.1 49.3

49.5 50.1

To determine whether the bags are indeed being underfilled by the machinery, the manager must conduct a test of mean with a significance level α = 0.05.

In a minimum of 175 words, respond to the following:

State appropriate null (Ho) and alternative (H1) hypotheses.
What is the critical value if we work with a significant level α = 0.05?
What is the decision rule?
Calculate the test statistic.
Are the bags indeed being underfilled?
Should machinery be recalibrated?
Globalization and Information Research Assignment

Purpose

This assignment is intended to give you an opportunity to strengthen your skills in gathering and analyzing business-related information. It provides a deeper understanding of how companies can look at globalization as part of their strategic and operational plans. The assignment has two parts: one focused on information research and analysis, and the other is on applied analytics.

Resources:

Microsoft Excel®
“How Netflix Expanded to 190 Countries in 7 Years” (https://hbr.org/2018/10/how-netflix-expanded-to-190-countries-in-7-years) from Harvard Business Review
CallCenterWaitingTime.xlsx file
Part 1: Globalization and Information Research

Context: Companies that perform well in their country of origin usually consider expanding operations in new international markets. Deciding where, how, and when to expand is not an easy task, though.

Many issues need to be considered before crafting an expansion strategy and investing significant resources to this end, including:

the level of demand to be expected for the company’s products/services
presence of local competitors
the regulatory, economic, demographic, and political environments
Carefully researching and analyzing these and other factors can help mitigate the inherent risk associated with an overseas expansion strategy, thus increasing the likelihood of success.

As a data analyst in your company’s business development department, you’ve been tasked with the responsibility of recommending countries for international expansion. You’ll write a report to the company’s executive team with your research, analysis, and recommendations.