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1) Question on the first day questionnaire asked students to rate their response to the question Are you deeply moved by the arts or music?
Assume the population that is sampled is approximately normally distributed.
(a) Using a significance level of 0.05, perform an appropriate t test on the claim that college students have a rating different than from that of a moderate rating of 4 (NOTE: pay attention to your test value). Make sure you write down the null and alternative hypotheses, and indicate the decision on the null hypothesis.
(b) Is the result significant at the 0.01 level? (you do not need to redo the SPSS calculation) 2) For this problem, which gives the responses to question 1, Are you made uncomfortable by loud noises? Students were divided into two groups, those who responded that indicated that they are not a morning person (1-3 rating on question #17) and those who indicated they are a morning person (4-7). Using SPSS, perform a t test on the claim that students who are morning people have a different level of comfort with loud noises than those who are not morning people. Use a significance level of 0.05. Make sure you write down the null and alternative hypotheses, and indicate the decision on the null hypothesis using the language from the In the Literature section of Gravetter and Wallnau (pp332-333).
3) For this problem, Closeness to Parents (data is based on questions 9 and 10). Each row in the table represents scores by the same individual. Using SPSS, perform a t test on the claim that the mean ratings of closeness to mothers and closeness to fathers are different. Use a significance level of 0.05. Make sure you write down the null and alternative hypotheses, and indicate the decision on the null hypothesis. Would the result be significant at the 0.01 level?
Omitted covariates is a term generally found in the connection with regression modelling, where the model has been incompletely specified by not including significant covariates.
This is an attempt to measure the suffering caused by the illness which takes into the account both the years of the potential life lost due to the premature mortality as well as t
Cointegration : The vector of not motionless time sequence is said to be cointegrated if the linear combination of the individual series is stationary. Facilitates suitable testing
The linear component ηi, de?ned just in the traditional way: η i = x' 1 A monotone differentiable link function g that describes how E(Yi) = µi is related to the linear compon
Recurrence risk : Usually the probability that an individual experiences an event of interest given previous experience(s) of the event; for example, the probability of recurrence
Helmert contrast is the contrast often used in analysis of the variance, in which each level of a factor is tested against average of the remaining levels. So, for instance, if th
A subject who withdraws from the study for whatever reason, adverse side effects, noncompliance, moving away from the district, etc. In number of cases the reason may not be known.
High-dimensional data : This term used for data sets which are characterized by the very large number of variables and a much more modest number of the observations. In the 21 st
stationary time series
Pattern recognition is a term for a technology that recognizes and analyses patterns automatically by machine and which has been used successfully in many areas of application inc
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