although Huck (2012) notes it does not have to be. The alternative hypothesis contradicts the null hypothesis. Discussion 3: HypothesesHypothesis TestingRefer to your Huck text and the chaptertitled, “Hypothesis Testing” (or some other source) and then provide the following information:Based from the variables you presented in the second discussion write a Null and Alternate hypothesis. Ho: Null Ha: AlternateThe Huck text chapter on hypothesis testing offers many different examples of null and alternate hypothesis. Once you’ve stated your hypotheses, then read the final section of the chapter, The Meaning of Significance. In 3-4 sentences discuss whether or not you think the tests of your hypotheses may be significant in casual everyday language and interms of statistical significance.Be sure to post your original response and then respond to at least one of yourclassmates.HERE IS THE 2ND DISCUSSION YOU DID FOR ME ON JUNE 4, 2021The project assesses the disadvantages of the RTI model in identifying exceptional student education (ESE). In this regard, the first variable is the learning style, assessed through recitationandrecall rate. Secondly, learning disability describes a disorder that adversely affects the capacity to understand, and use spoken or written language. According to Huck (2012), bivariate correlations assess two variables dependent on each other. The study examines how a students learning style, such as visual or spatial, and how it correlates with a learning disability will assist in evaluating RTIs efficacy and possible disadvantages.Based on the assumption that RTI has a higher possibility of classifying all slow learners as having a learning incapacity, the expected outcome is a significant correlation between the two variables. In this regard, a students learning style is anticipated to suggest the individual has a learning disability, a misconstruction, and an error associated with the RTI model. As emphasized, the project aims at identifying the disadvantages of the RTI approach, which is associated with non-representative policymaking. As Huck (2012) states, the correlation does not indicate a cause and effect; hence, the likelihood of error.A positive and high association is expected. As a measure of correlation, Huck (2012) states that a positive and high value suggests a strong relationship between the variables, suggesting the larger variable A is, the larger variable B will be. In such a case. The association will be essential in highlighting one of the cons of the RTI process, owing to an implied but misconstrued cause-and-effect association between the two elements. As indicated, the suggestion is that students with various learning styles or slow learners are likely to be identified as having a disability. The assumption is incorrect.ReferencesHuck, S. W. (2012). Reading statistics and research (6th ed.). Boston: Pearson Education Inc.PLEASE RESPOND TO MY CLASSMATE POST BELOW:CLASSMATE POST-SHORT RESPONSE PLEASEVariable 1: School attendance number of days students attended during the 180 scheduled days of schoolVariable 2: Grades in school cumulative grade point average (GPA) of student at the end of the school yearHo = There is no relationship between school attendance and grades in school.Ha = There is a significant relationship between school attendance and grades in school.H0: p = .00Ha: p ?? .00The null hypothesis can be written as a no relationship between groups statementThe word significance has two different meanings depending on the context. In statistics the meaning is perhaps simpler as it is mathematical and refers to a finding that is not likely to have occurred if H0 is true (Huck, 2012). If the null was rejected and there was a relationship found then in this definition, it would be called significant. On the other hand, there is how the word significance is used in everyday language which focuses more on if the results are truly important. Whether or not the tests of my hypotheses were found to be significant would depend on which definition was used. I would argue that my research question is important, and the information found from it therefore useful to the field therefore significant. The statistical difference on the other hand is more difficult to describe, as Huck (2012) noted it is unfortunately possible to show a statistically significant difference even when that difference is not a meaningful one. The mathematical piece of significance, while objective, can be impacted by other variables (i.e. sample size). When reading research, it is important to proceed with caution to ensure that findings are not being exaggerated.ReferencesHuck, S. W. (2012). Reading statistics and research (6th ed.). Pearson Education. http://www.readingstats.com/Sixth/index.htm
Order Solution Now at a 15% Discount!