EHRD 391

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...

EHRD 391 CH 3, Questions and answers, 100% Accurate (Exam Review). VERIFIED. Kurtosis - -What is the term associated with how flat or peaked a distribution appears? Maintain the scale in the graph - -which of the following are among the things to remember when creating figures? Skewness - -This is another word for "lopsidedness" of a distribution Frequency Distribution - -When tallying and representing how often certain scores occur, which type of data illustration method is bein...

EHRD 391-Test 1 Questions and answers, 100% Accurate. VERIFIED. Statistics - -A set of tools and techniques that are used for describing, organizing, and interpreting information or data -Making decisions with incomplete data Data - -A RECORD of an observation/event such as a test score, grade in class, or response time Data Set - -A COLLECTION of observations/events such as test scores, grades on a test, or response time Branches Of Statistics - ---- Descriptive Statistics - -...

EHRD 391 Exam 3 (Sandlin), Questions and answers, 100% Accurate, VERIFIED. Probability Theory The analysis and understanding of chance occurrences Probability A specification of how frequently a particular event of interest is likely to occur over a large number of trials Inferential Statistics -Making decisions with incomplete data -Deals with sampling from a population then generalizing the results back to the population -Population vs. sample -sampling error Hypothesis A predic...

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...

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...

EHRD 391- Exam 1 questions and answers, 100% Accurate. VERIFIED. N - -number of people in population n - -number of people in sample statistics - --a set of tools and techniques that is used for describing, organizing, and interpreting info or data -making decisions with incomplete data data - -record of an observation or an event as test score, grade in class, or response time data set - -a collection of observation or events such as test scores, grades on a test, or response ...

EHRD 391 Exam 3 Questions and answers, 100% Accurate, VERIFIED. Inferential Statistics (hypothesis testing) - --making decisions with incomplete data -notion of taking info from small groups to big ones population - -a group of people who have 1 thing in common sample - -a subset of the people sampling error - -the inherent error that comes with samples Null hypothesis - --a statement of equality between two variables -considered the starting point -it is what we accept to ...

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...