The well-known psychologist Dr. Elbod has established what he calls his Generalized Anxiety Scale (GAS). The GAS, which is a scale from  0  to  10 , measures the "general anxiety" of an individual, with higher GAS scores corresponding to more anxiety. (Dr. Elbod's assessment of anxiety is based on a variety of measurements, both physiological and psychological.)   We're interested in making predictions about individuals' sleep behavior based on their GAS scores. The bivariate data below give the GAS score (denoted by  x ) and the number of hours of sleep last night (denoted by  y ) for each of the fifteen adults participating in a study. A scatter plot of the data is shown in Figure 1.   GAS score, x Sleep time, y (in hours) 1.7 8.6 6.6 6.0 3.8 8.6 5.9 8.0 0.9 7.3 9.1 5.6 5.0 6.1 6.9 6.2 8.9 6.4 3.9 6.7 2.9 7.0 2.0 8.3 8.1 5.3 7.9 7.2 3.5 7.5        y 5 6 7 8 9 10 x 2 4 6 8 10 0                                    Figure 1     The value of the sample correlation coefficient  r  for these data is approximately  −0.685 .   Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specified below.   What is the value of the slope of the least-squares regression line for these data? Round your answer to at least two decimal places.   What is the value of the y-intercept of the least-squares regression line for these data? Round your answer to at least two decimal places.

Read through this scenario and look at the data that was collected.  State the null and all possible research hypotheses.  Review the results below (I used SPSS) and answer the questions that follow. Scenario:  A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help.  The independent variables are gender, income, and the interaction of gender and income.  The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered.  Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA.  His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect.  The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…

What type of test should be done?

A psychologist has tested 400 people on areas that make up the Sleepiness and Associated Sensations Scale. Each individualis employed in one of four professions (Medical, Legal, Economics and Psychology). Each subject participates in astructured interview, during which the clinical psychologist makes ratings based on fatigue, lethargy, and energy.The data with the results can be found in the sheet labelled “Question 2”.a. Conduct the relevant test to determine if the individual items that make up the Sleepiness and Associated SensationsScale differs based on profession. b. Test the relevant assumptions associated with this test. c. JASP input and output files.

A social worker is interested in examining how people who have higher levels of psychological resiliency respond after a natural disaster. She obtained anxiety scores, which were measured on a scale of 1–12 with higher numbers meaning more anxiety, from eight individuals who had experienced a natural disaster. She collected these scores 3 weeks after the disaster (M=7.13, s=2.03) and 6 months after the disaster (M=3.5, s=1.6). She expected that the anxiety scores at 6 months would be much lower than at 3 weeks. If sD = 1.30 and you use a two-tailed test with an alpha of .05, is there a difference? Perform the 4 steps of hypothesis testing. Anxiety at 3 weeks                                Anxiety at 6 months:  9                                                                          610                                                                        55                                                                          24…

Say Dr. Callahan measures her students' levels of narcissism. Her findings reveal that narcissism rates are higher in her male students versus her female students, a finding that is consistent with previous research. She also finds that the overall class average (11.5 out of 20) is lower than typical undergraduates' levels (15.5). Which of the following statements about this scenario is TRUE? She can conclude that being a SSU student is associated with lower levels of narcissism. She needs to be skeptical of her findings because she did not have a random sample. She needs to be skeptical of her findings because she did not have random assignment. She can conclude that her sample is externally valid because it replicates previous research. She can conclude that being a SSU student causes narcissism to decrease.

You have been hired by a local middle school to teach students about drugs and the harms of drug use. Being the statistician that you are, you want to see how effective your lecture is at increasing knowledge; therefore, you give them a pretest of 10 questions to measure their knowledge of drugs and the harms of drug use. After your lecture, you give the same students a posttest and measure their knowledge of drugs and the harms of drug use. BY HAND, Determine whether the students’ knowledge significantly increased as a result of your lecture. Use an alpha of .05. Pre                Post 3 6 1 4 0 5 4 3 2 9 5 9 3 3 2 7 3 6 4 8

Identify the appropriate test to use for the following scenario: There is a common belief that the phases of the moon have a powerful influence on behavior. In fact, the full-moon effect has been studied by a number of researchers. It is believed that the full moon negatively affects psychological functioning. To study this, a researcher analyzes the number of emergency admissions to psychiatric hospitals during nights when the moon is full. The researcher then analyzes the number of emergency admissions to the same psychiatric hospitals during nights when the moon is not full. The scores represent the number of admissions to each hospital on a random days throughout the year when the moon was full and a random days throughout the year when the moon was not full.  Group of answer choices A) Correlated Groups t-test B) Independent Groups t-test C) Regression D) One sample

Consider that the results of a research study conclude that the “effect of social media use on anxiety depends on gender.” Which statement below is correct based on this conclusion?     a. The research study uncovered a main effect of social media use, but no main effect of gender or interaction between gender and social media use.   b. The research study uncovered a main effect of gender and interaction of gender and social media use, but not main effect of social media use.   c. The research study uncovered an interaction between social media use and gender, but no main effects.   d. The research study uncovered no main effects of gender or social media use, as well as no interaction between gender and social media use.

A cognitive psychologist conducted a study of whether familiarity of words (X) predicts the time it takes (in seconds) to press a button indicating whether the word is singular or plural (Y), with all participants being given the same words. Familiarity with these words was rated at a later time on a 7-point scale (with higher numbers indicating more familiarity). The participants' scores were:                                                  X : 6, 2, 5 ,3 ,7                                                Y : 0.3 , 1.5 , 0.8 , 1.4 ,0.1 a.Figure the correlation coefficient Describe the correlation Figure the linear prediction rule; list the b value, a value and the final formula Predict the time it takes to press a button if the familiarity with the word is 1