This assignment requires conducting interviews with real people to gather information about the pain points related to a chosen startup guess and summarizing the critical findings and potential pivots for the next steps.

Get started on the “pain probing” stage of lean validation for one of your startup guesses. Part 1) Choose the startup guess that you want to attempt to validate. Begin…

Continue ReadingThis assignment requires conducting interviews with real people to gather information about the pain points related to a chosen startup guess and summarizing the critical findings and potential pivots for the next steps.

TASK 1 : 70 % HLTHIR403C Work effectively with culturally diverse clients and co workers

Acknowledgements: The following scenarios and activities in this Workbook have been adopted and modified from the HLTHIR403C ‘Work Effectively with Culturally Diverse Clients and Co-Workers’, Learning Guide, developed by the…

Continue ReadingTASK 1 : 70 % HLTHIR403C Work effectively with culturally diverse clients and co workers

ethnographic data. For the paper, you must choose THREE themes/topics from the list below* and

Final Paper (all 3 pages important!) The purpose of this assignment is to demonstrate your ability to apply core concepts that we’ve learned in this class to real, brand new,…

Continue Readingethnographic data. For the paper, you must choose THREE themes/topics from the list below* and

This assignment requires opening an excel file, sampling 50 rows, documenting the context, checking for missing data, classifying variables, visualizing and describing their distributions, identifying and describing outliers, and analyzing the relationship between two quantitative variables using regression options

1. Open the excel attached. 2. Sample 50 rows following the instruction in the video (https://toptipbio.com/random-sampling-excel/) start at the 3 minute mark – using Method 2). You are to sample…

Continue ReadingThis assignment requires opening an excel file, sampling 50 rows, documenting the context, checking for missing data, classifying variables, visualizing and describing their distributions, identifying and describing outliers, and analyzing the relationship between two quantitative variables using regression options