survey conducted in 2011 asked employed adults from age 25 to 70 if they plan to keep a foot in the working world after retirement. Thirty-three percent of the respondents answered very likely . A random sample of 75 adults from this age group was asked the same question. Using the normal approximation to the binomial distribution, what is the probability that 20, 21, 22, or 23 adults from this sample would very likely plan to keep a foot in the working world after retirement?
- survey conducted last year asked employed adults from age 25 to 70 if
- Biddle and Hamermesh (1990) built a multiple regression model to study the tradeoff between time spent in sleeping and working and to look at other factors affecting sleep: Sleep = β0 + β1 totwrk + β2 educ + β3 age + ε where sleep and totwrk (total work) are measured in minutes per week and educ and age are measured in years. Suppose the following equation is estimated: Sleep = 3500 – 0.15 totwrk – 11.20 educ + 2.29 age + ε Discuss what would happen to someone’s sleep if they choose to work more. Analyze whether the factors of totwrk, educ, and age are enough factors to explain the variation in sleep. Explain which additional factors should be explored in order to explain the variation in sleep. Provide your reasoning.
- Question: Q: Chapter Chapter 11 of Mertler and Vannata; answer exercises on pages 306 and 307: This exercise utilizes the SPSS data setprofile-e.sav, which can be downloaded from this Web site: www.Pvrczak.com/data Conduct a Forward: LR logistic regression analysis with the following variables: IV—age, educ, hrsl, sibs, rincom91, life2 (categorical) DV—satjob2 Note: The variable Iife2 is categorical such that dull = 1, routine/exciting = 2, and all other values are system missing. Develop a research question for the following scenario. Conduct a preliminary Linear Regression to identify outliers and evaluate multicollinearity among the five continuous variables . Complete the following: a. Using the Chi-Square table in Appendix B, identify the critical value atp< .001 for identifying outliers. Use Explore to determine if there are outliers. Which cases should be eliminated? b. Is multicollinearity a problem among the five continuous variables? Conduct Binary Logistic Regression using the Forward: LR method. IV—age, educ, hrsl, sibs, rincom91, life2 (categorical; last is the reference category) DV—satjob2 Note: Make sure that any outliers identified in Exercise 2a are removed from data before running the logistic regression. Also, designating life2 as a categorical covariate with the last category as the reference, essentially makes "routine/exciting" = 0 and "dull" = 1, so interpret the results accordingly. a. Which variables were entered into the model? b. To what degree does the model fit the data? Explain. c. Is the generated model significantly different from the constant-only model? d. How accurate is the model in predicting job satisfaction? e. What are the odds ratios for the model variables? Explain. Module 14 – Multi-level linear analyses: When do you use multi-level linear analyzes? Chapter 8 of Cronk (chapter below I wasn’t sure what was being asked) and answer all practice exercises; post your results here:
- Describe a time you were asked to conform in the work place and the decision you ultimately made when asked. What physical or psychological factors should be considered when deciding whether or not to conform to a group?
- Conflict Resolution and Nonviolent Crisis Prevention 4 PAGES Students will reflect on their work experience and identify a child/teen who was challenging. They will provide insight into what made the student challenging and reflect on course curriculum on Nonviolent Crisis Intervention. Students will also be asked to reflect on the required reading of Crucial Conversations (book: Crucial Conversations, Tools for Talking When Stakes are High, 2nd ed) and reflect on what tools and strategies could have helped in their overall communication and relationship development with the child. Students are encouraged to reflect on their life experiences and background. How do those experiences different from the child in their classroom? And how can educators bridge connections to better understand their students? I work as a Sub. teacher so I have dealt with many children but only on a short-term basis. I work with inner-city children that have a lot going on in their home lives. So if you can picture mini adults not wanting to be told what to do and their skills are very low. I can relate to the children because I grew up only a few blocks from some of them. My grandmother raised me. Mother was a drug addict and father was gone for 15 years of my life. This is the life of most of the children. Difference today is respect. Even though I hardly ever saw either of my parents until high school I never acted out in class. No throwing chairs, no calling my peers or the teachers bad words.
- Conduct appropriate hypothesis tests for the data on a survey conducted. The hypothesis tests should address relevant and interesting questions, and should include one-sample and two-sample tests, and ANOVA and/or Chi-Square tests as appropriate
- Middle Age Crisis Middle age is a period that is often associated with
- Sex and Age (sexual issue with age)