broken image
broken image
  • Home
  • Who We Are 
    • Our Story
    • Our Board & Advisory Board
    • Our Students
    • Annual Reports
    • Media
  • Our Programs 
    • English Program
    • Women in Tech (WiT)
    • Professional Skills Development
    • Legacy
  • Get Involved 
    • Students
    • Volunteers
    • Support Us
    • Career
  • Partner With Us
  • Blog
  • …  
    • Home
    • Who We Are 
      • Our Story
      • Our Board & Advisory Board
      • Our Students
      • Annual Reports
      • Media
    • Our Programs 
      • English Program
      • Women in Tech (WiT)
      • Professional Skills Development
      • Legacy
    • Get Involved 
      • Students
      • Volunteers
      • Support Us
      • Career
    • Partner With Us
    • Blog
    DONATE
    broken image
    broken image
    • Home
    • Who We Are 
      • Our Story
      • Our Board & Advisory Board
      • Our Students
      • Annual Reports
      • Media
    • Our Programs 
      • English Program
      • Women in Tech (WiT)
      • Professional Skills Development
      • Legacy
    • Get Involved 
      • Students
      • Volunteers
      • Support Us
      • Career
    • Partner With Us
    • Blog
    • …  
      • Home
      • Who We Are 
        • Our Story
        • Our Board & Advisory Board
        • Our Students
        • Annual Reports
        • Media
      • Our Programs 
        • English Program
        • Women in Tech (WiT)
        • Professional Skills Development
        • Legacy
      • Get Involved 
        • Students
        • Volunteers
        • Support Us
        • Career
      • Partner With Us
      • Blog
      DONATE
      broken image

      Mujeeba Haj Najeeb, (SPSS Course- Spring 2023)

      A Rigorous Analysis of Factors Influencing Sleep Duration and Efficiency using Kaggle Data and SPSS Analytics

      In this project, a thorough examination of factors influencing sleep duration and efficiency is undertaken, leveraging a dataset sourced from Kaggle. The researcher diligently prepares the data for analysis, employing statistical methodologies including Descriptive Statistics, Multiple Linear Regression, and ANOVA. The overarching goal is to glean insights into the diverse elements that exert an influence on sleep patterns. The analytical capabilities of SPSS are harnessed to extract meaningful conclusions from the meticulously gathered data.

      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image
      broken image

       

       

      Subscribe
      Previous
      Rana Al-Madhoun,(Business Analytics Course -Spring 2023)
      Next
      Dema Saad Aldeen (Python Course - Fall 2023)
       Return to site
      Profile picture
      Cancel
      Cookie Use
      We use cookies to improve browsing experience, security, and data collection. By accepting, you agree to the use of cookies for advertising and analytics. You can change your cookie settings at any time. Learn More
      Accept all
      Settings
      Decline All
      Cookie Settings
      Necessary Cookies
      These cookies enable core functionality such as security, network management, and accessibility. These cookies can’t be switched off.
      Analytics Cookies
      These cookies help us better understand how visitors interact with our website and help us discover errors.
      Preferences Cookies
      These cookies allow the website to remember choices you've made to provide enhanced functionality and personalization.
      Save