ANOVA? Sum of Model Squares df Mean Square F Sig. 1 Regression 17.141 3.428 2.957 .015b Residual 134.498 116 1.159 Total 151.639 121 a. Dependent Variable: Average of items in Ought Measure b. Predictors: (Constant), How would you describe your political attitudes?, education, Average of items in Belief in Just World Scale, Number of correct items on Raven's Progressive Matrices, Average of items from Inherence Bias Measure Coefficientsa Standardized Coefficients Unstandardized Coefficients Model Std. Error Beta Sig. 1 (Constant) 4.660 .849 5.488 .000 Average of items from Inherence Bias Measure .299 .091 .306 3.270 .001 Average of items in Belief in Just World Scale -.123 .133 -.088 -.925 .357 Number of correct items -.012 .051 -.022 -.245 .807 on Raven's Progressive Matrices education -.089 .112 -.072 -.800 .425 How would you describe your political attitudes? .055 .048 .102 1.137 .258 a. Dependent Variable: Average of items in Ought Measure

Bullying,” according to noted expert Dan Olweus, “poisons the educational environment and affects the learning of every child.” Bullying and victimization are evident as early as preschool, with the problem peaking in middle school. Suppose you are interested in the emotional well-being of not only the victims but also bystanders, bullies, and those who bully but who are also victims (bully-victims). You decide to measure anxiety in a group of bullies and a group of victims using an 18-item, 5-point anxiety scale. Assume scores on the anxiety scale are normally distributed and that the variances of the anxiety scores are the same among bullies and victims. The group of 23 bullies scored an average of 40.1 with a sample standard deviation of 10 on the anxiety scale. The group of 28 victims scored an average of 46.8 with a sample standard deviation of 11 on the same scale. You do not have any presupposed assumptions about whether bullies or victims will be more anxious, so you formulate…

Study 2: Pill Appearance and Perceived Pain.    Does the shape or color of a pain pill influence its effectiveness?  Although logically it shouldn’t, whether we believe a drug will work does have a powerful effect on our perceptions (e.g., placebo effect).  In this experiment, 4 groups of adult patients were given the same amount of Advil after dental surgery for pain relief, but the color and shape of the pill varied.  Researchers hypothesized that an unusual shape or color would lead people to believe the pills were new and special and thus would expect them to be more effective than common round, white pills. Researchers also wanted to know if there is an interaction between shape and color Data Labels ShapePill {1=Round; 2=Diamond} ColorPill {1=White; 2=BlueGreen} Gender {0=Woman; 1=Man; 2=Nonbinary person) Descriptions of the Variables and Descriptive Statistics: Referring to the JASP output, and using sentences, present the descriptive statistics of each group: for example:…

Which of the following variables is not a qualitative or categorical variable? Species: Warbler, Wren, Owl, etc. Moth Type: 1 = Peppered, 2 = Melanic Moth Type: 1 = Peppered, 2 = Melanic Age at Death: 0-116

What social media tools do marketers commonly use? The “2015 Social Media Marketing Industry Report” by Social Media Examiner (socialmediaexaminer.com) surveyed marketers who commonly use an indicated social media tool.  Surveyed marketers who commonly use an indicated social media tool.  Surveyed were both B2B marketers, marketers that primarily target consumers.  Suppose the survey was based on 500B2B marketers and 500 B2C marketers and yielded the results in the following table below:   SOCIAL MEDIA TOOL BUSINESS FOCUS (B2B) (%) BUSINESS FOCUS (B2C) (%) FACEBOOK 88 96 TWITTER 83 77   For each social media tool, at the 0.05 level of significance, determine whether there is a difference between B2B marketers and B2C marketers in the proportion who used each social media tool. State the complete hypotheses (hypothesis null and hypothesis alternative for question (a) above

Education influences attitude and lifestyle. Differences in education are a big factor in the "generation gap." Is the younger generation really better educated? Large surveys of people age 65 and older were taken in n1 = 38 U.S. cities. The sample mean for these cities showed that x1 = 15.2% of the older adults had attended college. Large surveys of young adults (age 25 - 34) were taken in n2 = 37 U.S. cities. The sample mean for these cities showed that x2 = 18.1% of the young adults had attended college. From previous studies, it is known that ?1 = 6.4% and ?2 = 4.8%. Does this information indicate that the population mean percentage of young adults who attended college is higher? Use ? = 0.05. (c) Find (or estimate) the P-value. (Round your answer to four decimal places.) A random sample of n1 = 12 winter days in Denver gave a sample mean pollution index x1 = 43. Previous studies show that ?1 = 15. For Englewood (a suburb of Denver), a random sample of n2 = 16 winter days gave a…

A researcher is studying the effects of choices made by students entering middle school on future SAT outcomes. The researcher records the math course that the student enrolls in upon entering the sixth grade. The researcher uses SAT data for the same group of students, grouping students by college readiness. The data is displayed below.   College+Ready Likely+College+Ready Not+College+Ready Grade-level 20 96 85 Honors 48 134 101 Accelerated 8 23 16 Do the data suggest that sixth grade math enrollment and SAT college readiness are related? Use a 5% level of significance. a. Calculate the p-value (Rounded to 4 or more decimal places):____________ b. If the two variables were independent, what is the expected number of students who entered sixth grade in an honors math class and who obtained college ready designation based on the SAT?______________Rounded to 2 decimal places) c. What is the contribution to the chi-squared test statistic for this cell (from part…

The personality characteristics of business leaders (e.g., CEOS) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership. Among a sample of n = 16 managers, the sample mean of the openness to experiences dimension of personality was M = 4.50. Assuming that u = 4.24 and o = 1.05 (Cobb-Clark & Schurer, 2012), use a two-tailed hypothesis test with a = .05 to test the hypothesis that this company's business leaders' openness to experience is different from the population. Standard Normal Distribution Mean - 0.0 Standard Deviation 1.0 .7198 .1401 .1401 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 -1.08 1.08 Step 1. Ho: ; H;: a = .05. Step 2. The critical region consists of Step 3. For these data the standard error is and…

K The concerns about the impact of technology on our lives are growing. There have been recent research reports about the negative impact of digital technology usage on stress, work productivity, happiness, and overall well-being. In light of these concems, a polling organization asked technology experts about their opinion on our digital life and found that 28% of the experts believe that in the future our lives will be more harmed than helped by their digital environment. In an effort to confirm these results, a local tech company decides to ask 210 randomly selected customers their opinions about their digital life. Answer parts a through c below. a. What is the probability that 35 or more people from this sample are concerned about the digital environment? The probability is (Round to four decimal places as needed.) his View an example Get more help - p = 0.566 a).b), hope ith... Clear all N Check answer KS S YOU NS VE