Attached are data containing the two variables, COLLEGE and INCOME, for 40 adults.  COLLEGE is operationalized as number of years of college completed and INCOME is operationalized as gross annual income in $1,000.  The data are to be used as specified in the questions. 1.    a)  For INCOME, construct a frequency distribution with an interval width of 20 and 19   as the minimum income limit of the lowest interval.   b)  Construct a histogram of the above (i.e., 1a) frequency distribution.   c)   What are the characteristics of this distribution (i.e., 1c)? 2.   For INCOME, what are the range, mode, and median? 3.   a)   Convert INCOME to standard scores.   b)  Calculate the mean and standard deviation for the above (question 3a) standard scores. 4.   In a normal distribution, what proportion of the cases fall between:     a)  z = -1.50 and z = +1.50?   b)   z = -2.28 and z = O?   c)  z = -0.80 and z = -1.60?   The mean age of your sample is 39 with a standard deviation of 5.    d)   What percent of the persons are between 40 and 50? 5.   a)  Construct a scatterplot showing the relationship between COLLEGE and INCOME.   b)   Describe the relationship between COLLEGE and INCOME based on the above scatterplot   (i.e., question 5a).   c)   For COLLEGE and INCOME, calculate the Pearson coefficient of correlation.   d)   Describe the relationship between COLLEGE and INCOME based on the Pearson   coefficient of correlation. 6.   a)   For COLLEGE and INCOME compute the intercept and slope for the Y-on-X regression equation; state the regression equation. Based on the findings from question 6a: b)   Compute the standard error of the mean.  c)  For 5 years of college, what would the predicted income be? d)   What would income be if college = 8? 7.   Studies have found that the national average of hours worked per week for college students is 20.  For a sample of UGF students, the hours worked per week are as follows: 18, 20, 25, 26, and 31.  You would like to determine whether UGF students tend to work more hours per week than the national average.   a)  State the null and alternative hypotheses in text form.   b)  Calculate the test statistic (determine which test you should use).   c)  Determine the critical value (t.05).   d)   Make decision on the null hypothesis and draw conclusions. 8.   Formulate an applicable research (i.e., substantive) question that would use a one-way (simple) analysis of variance.  In describing your research question specify the following.   a)   the dependent variable;   b)   the independent variable and the treatment conditions or the populations   c)   the null and alternative hypotheses in text form. 9.   The Office of Institutional Research at UGF would like to examine the age distribution of the student population.  The office would like to determine whether the distribution of ages for a sample is different from the distribution of ages for the student population.  A sample of students is selected and the relative frequencies for the age categories are as follows for the sample (observed frequency) and the population (expected frequency):   Age group:   18-20  21-24  25-29  Over 30   Sample:    33      42    18    7   Population:    27    30    26    17   a)   State the null and alternative hypotheses in text form.   b)   Compute the Chi-square.   c)   Draw conclusions at the 0.05 level of significance. CASE COLLEGE INCOME 1 4 72 2 1 59 3 0 26 4 12 83 5 3 28 6 10 97 7 2 45 8 1 33 9 0 28 10 12 82 11 1 35 12 21 83 13 1 29 14 2 25 15 1 52 16 2 19 17 3 66 18 2 70 19 16 93 20 15 88 21 18 242 22 0 240 23 0 35 24 17 93 25 1 42 26 21 98 27 7 55 28 15 69 29 4 63 30 4 58 31 1 25 32 3 65 33 2 33 34 5 66 35 12 71 36 6 78 37 26 311 38 0 27 39 20 132 40 11 56

Due: 01/30/2019 Twelve-step groups are the foundation and most widely recognized of nearly all addiction recovery programs. Twelve-step groups include Alcoholics Anonymous, Narcotics Anonymous, and Gamblers Anonymous. Although the primary focus of twelve-step groups is addiction recovery, group support allows individuals to share their strengths, experiences, and hopes with each other. The twelve-step recovery process is a set of principles—known as steps—that are used toward addiction recovery. For example, the steps include abstinence from addictive substances or behavior, positive social relationships, positive physical and emotional health, and improved spiritual strength (Mejta, Naylor, & Maslar, 1994). Twelve-step groups are spiritually based—meaning while they acknowledge a "Higher Power" —they are not associated with any organized religion or dogma (Alcoholics Anonymous, 2012). In addition, during and after treatment, the twelve-step community is available for ongoing support. For this Assignment, review this week's resources, including the "Twelve-Step Groups" document, and consider your assumptions prior to and after attending a twelve-step meeting. Explore insights from attending the meeting and consider how this experience might be helpful as an addiction professional. Support your response with references to the resources and current literature. For this Assignment, attend at least one open twelve-step meeting of your choice in your community (AA, NA, Al-anon, GA, or OA for example). Please use subheadings for responses be very detailed in responses and use 4 peer reviewed references. Submit a 1- to 2-page paperthat addresses the following: Describe your initial assumptions before attending the meeting.Explain any insights you gained from attending the meeting.Explain how this experience might inform your future work as an addiction professional.ReferencesCapuzzi, D., & Stauffer, M. D. (2016). Foundations of addictions counseling (3rd ed.). New York, NY: Pearson Education, Inc.Chapter 16, "Substance Abuse Prevention Programs Across the Lifespan" (pp. 353-382)Kelly, J. F., Stout, R. L., Magill, M., Tonigan, J. S., & Pagano, M. E. (2010). Mechanisms of behavior change in alcoholics anonymous: Does Alcoholics Anonymous lead to better alcohol use outcomes by reducing depression symptoms? Addiction, 105(4), 626–636. Note: Retrieved from the Walden Library databases.