State the molecular geometry of the following molecules (more matching provided than needed):  IF5 NH4+ (ammonium ion) SF2

Using options in the Table of Molecular Geometries below, state the molecular geometry of the following three molecules. Note: Write ONLY the letter that is in the column on the left of the Molecular Geometries table in the answer field next to each molecule.  (There are more geometries than needed.)      Molecular Geometries Molecule Geometry SiF4   BrF5     BF3       Table of Molecular Geometries Table of Molecular Geometries A octahedral B linear C tetrahedral D square pyramidal E trigonal bipyramidal F T-shaped G square planar H see-saw  I trigonal planar

State the molecular geometry of the following molecules (more matching provided than needed):  BF3 IBr5  SeBr3+   (selenium tribromide ion)

Tell when to use each type of ANOVA, the possible research hypotheses for this statistical model, and when ANOVA can be used to test each type of Research Hypothesis (attributive, associative and causal). 

A student proposes the following Lewis structure for the azide (N3-) ion. Assign a formal charge to each atom in the student’s Lewis structure. atom formal charge left N central N right N

A researcher investigated whether attending a voter workshop influences whether students plan to vote. Which research hypothesis best matches this study?

“Students self-selected into the workshop. Based on this design, causal conclusions are:”

Reading condition and confidence in voting decisions. What is the most appropriate statistical test?

A researcher examined whether exposure to different campaign messages influences trust in local government. Participants were randomly assigned to read either a message emphasizing government transparency reforms or a message emphasizing government inefficiency. After reading the message, participants completed a 10-point scale measuring trust in local government.Results:Transparency message mean = 5.1Inefficiency message mean = 6.7F = 7.44p = .011

Compare and contrast the “interesting pairs” of the four bivariate data analysis models we are working with.