Ehrd 391 exam 2 - Study guides, Class notes & Summaries

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EHRD 391 Exam 2 questions with correct answers|100% verified
  • EHRD 391 Exam 2 questions with correct answers|100% verified

  • Exam (elaborations) • 6 pages • 2024
  • EHRD 391 Exam 2 questions with correct answers bivariate data Answer Data with two variables univariate data Answer data with one variable example of continuous variable Answer hrs studied and test score r Answer strength of associate between variables 4 things that scatter plot tells you Answer -degree of association -directionality -linearity -outliar if outliar is encountered Answer -make sure is not an administrative error -caluculate with and without the association - ...
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EHRD 391 EXAM 2 questions with correct answers|100% verified
  • EHRD 391 EXAM 2 questions with correct answers|100% verified

  • Exam (elaborations) • 5 pages • 2024
  • EHRD 391 EXAM 2 questions with correct answers bivariate Answer 2 variables r Answer -Pearson r -tells you the degree of linear relationship between two continuous variables -has to be a meaningful relationship between the variables will be making scatter plots degree of association Answer what does the circle around the data look like? -tight circle=most related -loose circle=least related directionality Answer where it is moving +/- linearity Answer no curves or randomness ...
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EHRD 391 Exam 2 questions with correct answers
  • EHRD 391 Exam 2 questions with correct answers

  • Exam (elaborations) • 6 pages • 2023
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  • bivariate data Answer Data with two variables univariate data Answer data with one variable example of continuous variable Answer hrs studied and test score r Answer strength of associate between variables 4 things that scatter plot tells you Answer -degree of association -directionality -linearity -outliar if outliar is encountered Answer -make sure is not an administrative error -caluculate with and without the association - check what is going on Pearson's r Answer te...
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EHRD 391 EXAM 2 questions with correct answers
  • EHRD 391 EXAM 2 questions with correct answers

  • Exam (elaborations) • 5 pages • 2023
  • Available in package deal
  • bivariate Answer 2 variables r Answer -Pearson r -tells you the degree of linear relationship between two continuous variables -has to be a meaningful relationship between the variables will be making scatter plots degree of association Answer what does the circle around the data look like? -tight circle=most related -loose circle=least related directionality Answer where it is moving +/- linearity Answer no curves or randomness presence of outliers Answer 1) make sure no ou...
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EHRD 391 - Exam 1 questions with correct answers|100% verified
  • EHRD 391 - Exam 1 questions with correct answers|100% verified

  • Exam (elaborations) • 10 pages • 2024
  • EHRD 391 - Exam 1 questions with correct answers Data is Answer A record of observation / event EX: Test score/ grade Data set is... Answer A collect of observations EX: Test scoreS / GradeS Descriptive Stats Answer 1. Used to organize and describe the characteristics of a collection of data 2. Measures central tendency (CT) and measures of variability Inferential Stats Answer 1. Used to make generalizations from a smaller group of subjects ( a sample) to a larger group of subj...
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EHRD 391 Exam 3... questions with correct answers|100% verified
  • EHRD 391 Exam 3... questions with correct answers|100% verified

  • Exam (elaborations) • 4 pages • 2024
  • EHRD 391 Exam 3... questions with correct answers The Null Hypothesis can be Answer Correct or Incorrect We fail to reject Ho when Answer Data is Correct or between Tc Step 1 Answer State Ho & Ha Step 2 Answer Select "Alpha" Alpha Answer Level of risk or level of significance Step 3 Answer Select Appropriate Test "Dependent or Independent" Step 4 Answer Compute T-o "Do the Math"
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EHRD 391 Exam 2 Questions and answers, rated A+. VERIFIED.
  • EHRD 391 Exam 2 Questions and answers, rated A+. VERIFIED.

  • Exam (elaborations) • 5 pages • 2023
  • EHRD 391 Exam 2 Questions and answers, rated A+. VERIFIED. bivariate data - -Data with two variables univariate data - -data with one variable example of continuous variable - -hrs studied and test score r - -strength of associate between variables 4 things that scatter plot tells you - --degree of association -directionality -linearity -outliar if outliar is encountered - --make sure is not an administrative error -caluculate with and without the association - check wh...
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EHRD 391 - Exam 1 Questions and answers, latest updates. VERIFIED.
  • EHRD 391 - Exam 1 Questions and answers, latest updates. VERIFIED.

  • Exam (elaborations) • 9 pages • 2023
  • EHRD 391 - Exam 1 Questions and answers, latest updates. VERIFIED. Data is - -A record of observation / event EX: Test score/ grade Data set is... - -A collect of observations EX: Test scoreS / GradeS Descriptive Stats - -1. Used to organize and describe the characteristics of a collection of data 2. Measures central tendency (CT) and measures of variability Inferential Stats - -1. Used to make generalizations from a smaller group of subjects ( a sample) to a larger group o...
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EHRD 391 Exam 3. Questions and answers, 100% Accurate. VERIFIED.
  • EHRD 391 Exam 3. Questions and answers, 100% Accurate. VERIFIED.

  • Exam (elaborations) • 3 pages • 2023
  • EHRD 391 Exam 3. Questions and answers, 100% Accurate. VERIFIED. The Null Hypothesis can be - -Correct or Incorrect We fail to reject Ho when - -Data is Correct or between Tc Step 1 - -State Ho & Ha Step 2 - -Select "Alpha" Alpha - -Level of risk or level of significance Step 3 - -Select Appropriate Test "Dependent or Independent" Step 4 - -Compute T-o "Do the Math" Step 5 - -Determine the value to reject the Null "T-c" t-critical How to solve "DF" = Degree...
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EHRD 391 Exam 3- Tamu-Sandlin, Exam Questions and answers, VERIFIED.
  • EHRD 391 Exam 3- Tamu-Sandlin, Exam Questions and answers, VERIFIED.

  • Exam (elaborations) • 3 pages • 2023
  • EHRD 391 Exam 3- Tamu-Sandlin, Exam Questions and answers, VERIFIED. Inferential Statistics - -Making decisions with incomplete data No - -Do you need inferential statistics if you have access to an entire population? IV - -what makes up the group (ex: knowledge) DV - -what is being measured (ex: gender) Null Hypothesis - -Statement of equality (=) Example Null Hypothesis in words - -There is no difference in knowledge between males and females True - -Do we assume the nul...
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