For your Signature Assignment, you will create a PowerPoint presentation suitable to use for a lecture in an introductory statistics class. You should include the following in your presentation: A description of why knowledge of statistics is important in careers in psychology as well as in everyday life. A description of the difference between descriptive and inferential statistics. A description of the inferential tests discussed during this class. You should discuss the types of data that are appropriate for each test (i.e., nominal, ordinal, interval, or ratio). You should create a specific research example that would yield data appropriate for each of the tests that you mention. You should describe each of the variables involved in your research question and how that variable will be measured. A discussion of any ethical concerns that need to be considered for each of the research examples. At least one graph demonstrating how the results of the statistical test should be presented. Incorporate speaker notes, appropriate animations, transitions, and graphics as well as speaker notes for each slide. The speaker notes may be comprised of brief paragraphs or bulleted lists. Support your presentation with at least three scholarly resources. In addition to these specified resources, other appropriate scholarly resources may be included.

Using the topic Gun Control and the Gun Control codebook complete the following tasks:Develop a theory.Develop a corresponding hypothesisIdentify the independent (IV) and dependent (DV) variables in your hypothesisOperationalize your independent and dependent variables.Hint: What are the attributes (categories) of your variable?Identify the level of measurement (LOM) of the independent and dependent variables in your hypothesis.Part 2: Using the Gun Control dataset complete the following tasks:Run frequencies on the variables:Religion.Education.OwnGun.CauseViolence.AmericanOwn.ConcealedWeapons.Summarize your findings.Part 3: Using the Gun Control dataset complete the following tasks:Run the measures of central tendency (MOCT) that correspond with each of the following variables’ levels of measurement (LOM):Religion.Education.OwnGun.CauseViolence.AmericanOwn.ConcealedWeapons.Summarize your findings.Part 4: Using the Gun Control dataset complete the following tasks:Run the measures of variability (MOV) that correspond with each of the following variables’ LOM:Religion.Education.OwnGun.CauseViolence.AmericanOwn.ConcealedWeapons.Summarize your findings.

You will choose ONE State and use its data file to predict household income (HINCP) using other variables in the data set. Your final model should have a reasonable r squared and an overall “significant” p-value. ( Do not use FINCP as a predictor! FINCP is family income and saying that we can predict a household's income if we know the family's income is very nearly a circular argument. For the vast majority of Americans, family income and household income are the same thing.) If any of your predictors have large p-values, be sure to justify why you are including them.To really impress, make a prediction for a particular household with a given set of predictor variables.Your report must include:1) Model, including output including ANOVA and coefficient tables (5 Points).2) 1-4 complete sentences describing your model (5 Points).3) Graph. Remember your principles of data viz! (5 Points).4) Comment on outliers, patterns (this exploration should also include a scatterplot matrix for your predictor variables) (5 Points).5) R squared better than 25% (partial credit for getting close) (5 Points).6) Describe each independent variable (what is it?) (5 Points).7) For each independent variable, speculate on its sign (why is it positive/negative?) (5 Points).This is the link for the datahttps://drive.google.com/drive/folders/1eafsJWJj3w...