My Data Analysis and Machine Learning Portfolio

  QUESTION: Consider the gain in weight of 19 female rats between 28 and 84 days after birth. 12 were fed on high protein diet and 7 on a low protein diet. Using the data given below, test the hypothesis that there is no difference in weight gain between female rats raised on a high-protein diet versus those raised on a low-protein diet. Use a significance level of 𝛼 = 0.05 and assume equal variances.  Weight Gain Measured in Grams: High protein: 134,146,104,119,124,161,107,83,113,129,97,12  Low protein: 70,118,101,85,107,132,94  SOLUTION: The Null Hypothesis here is that there is no weight gain difference between the 2 groups of rats. It will be shown that there is no reason to reject the Null Hypothesis. This will be done using the R code shown below.  #This will be a test involving two population means #mu1 is population mean-of-weight-gain of high protein rats #mu2 is population mean-of-weight-gain of low protein rats # H0: mu1 - mu2 = 0 i.e. no difference ...

This is a project that looks at the data from a company called Citi Bike. It is a bike rental company in New York City that allows clients to pick-up a bike at one of its several locations and leave the bike at another location. The data can be found at Kaggle.com.  I determined the following using Excel's Pivot Tables:  1) the start locations frequented most and least 2) the end locations frequented most and least 3) use of service by age group 4) average duration of trip by age group This info may help Citi Bike determine if some stations should be shut down or determine if more bikes should be placed at certain stations. Citi Bike may also use this information to target certain age groups and neighborhoods in its advertising.  The Excel spreadsheet was imported into Google Docs so that a link to the worksheet could be published here: https://docs.google.com/spreadsheets/d/e/2PACX-1vRhSnt-5l2kQL1gwgSrsDpCU9AYOkjDa9VA-X53IuSnk5gasNFq3wiKzzZE3TnTYA/pubhtml As a Google wor...