Battery life is an important issue for many smartphone owners. Public health studies have examined "low-battery anxiety" and acute anxiety called nomophobia that results when a smartphone user's phone battery charge runs low and then dies.† Battery life between charges for the Samsung Galaxy S9 averages 31 hours when the primary use is talk time and 10 hours when the primary use is Internet applications. Because the mean hours for talk time usage is greater than the mean hours for Internet usage, the question was raised as to whether the variance in hours of usage is also greater when the prim

Early life corresponds to the first bacterial colonization of the digestive tract, creating a microbiome thought to play an important role in human development. What might be the effect of early exposure to antibiotics on children's development? One study followed 11,532 full-term babies all born in the county of Avon, United Kingdom, during 1991 and 1992. Exposures to antibiotics during infancy were recorded, along with measures of body mass at regular intervals over several years. The researchers found that antibiotic exposure during the first six months of life was associated with increased body mass later in childhood.

A warden is motivated to reduce to aggressive interactions between inmates that sometimes occur in common areas like the yard. He tasks you, the prison psychologist, to find out what can be done to reduce aggressive behavior. Having known the prisoners, you hypothesize that there must be a relation between aggressiveness and having something to keep oneself busy. You get 10 volunteer inmates and give them a scale of aggression and then ask how many hours a week on average they spend with a hobby.The data in z-scoresare: C. Your spouse is a teacher at a highschool. You convince them to run the same scales on some of their students and the r value is .42. At ?=.01is that significantly different than for the one for the inmates?

A researcher wanted to study the relationship between coffee drinking and heart problems. She interviewed all patients at several area hospitals and found that patients in the hospital for treatment of heart problems drank an average of 2.7 cups of coffee per day (Margin of error is 1.4 cups) while those patients being treated for other problems averaged only 1.4 cups of coffee per day (Margin of error is 0.8 cups). What conclusion can you draw about coffee as a cause of heart problems from this information?A) Coffee is bad for you.B) Coffee is good for you.C) Heart patients drink more coffee than other patients.D) None, because only patients in hospitals were interviewed.

Your state is going to vote on becoming a "right to work" state in the next, and you wonder if there is there a relationship between salary levels and unionization. You find data on salary from the U.S. Census, which is split into three groups: Low; Moderate/About Average, and; High. To see if salary, measured in this way, is associated with unionization you find a variable in the same dataset called "UNION", which has two categories: the respondent has a unionized job and the respondent does not have a unionized job. Because you want to know if you should favor or oppose becoming a "right to work" state, you test these two variables to see if there is an association between salary level and unionized labor. What type of hypothesis test is most appropriate?

Each year, marketing and information firm J.D. Power and Associates surveys new car owners 90 days after they have purchased their cars. The data collected are used to rate auto brands (Toyota, Ford, and others) on initial quality and initial customer satisfaction. USA Today reported both the number of manufacturing defects per 100 vehicles and a satisfaction score for all 33 brands sold in the United States.+ A research group decides to compare the mean number of defects for 2 specific models of cars, A and B, made this year by taking random samples of 100 cars of each model. USE SALT (a) After collecting the data, the research group calculates a 95% confidence interval to estimate the difference in population means. In this case, what is the population? O the defects O all cars made this year all cars for models A and B that were produced this year O the 100 cars from each model (b) Suppose the calculated confidence interval is (100, 104) number of defects. What is the value of the…

Indicate the dependent and independent variables, the number of levels for each independent variable, and whether each variable is within-subjects or between subjects 1.   Individuals with anorexia and individuals with bulimia take a cognitive distortions test upon entering a treatment program for eating disorders and again three weeks later.

Fish produce a hormone called isotocin, a hormone that is similar to oxytocin in mammals. Both hormones, oxytocin and isotocin, have been linked to social behaviors including the suppression of social anxiety, trust, and attachment. Prior to this study the relationship between isotocin in the bloodstream and the amount of aggression or submission individual cichlid fish display was unknown. The researchers hypothesized that isotocin would suppress aggressive behaviors in cichlids to promote social cohesion as these fish exist in large social groups (schools). To address this hypothesis each of 10 fish were exposed to two treatments 1 week apart. One at a time a fish was randomly selected from the group of 10 and either injected with a saline solution ( that served as the control) or with isotocin. After this injection the fish was returned to its group and the amount of aggressive and submissive behaviors the fish demonstrated was recorded for the next 10 minutes. One week later this…

In predicting the change in blood pressure for someone taking blood pressure medication, identify two possible quantitative predictor variables and two possible qualitative predictor variables.

A psychologist believes that the age of an adolescent will have an impact on the number of phone calls made to the opposite sex (in heterosexual people) over the course of one month. They also suspect that gender of the adolescent will have an impact on the number of phone calls made to the opposite sex. Using the hypothetical data provided below, run your analyses in R to test whether age and gender impacts the number of phone calls an adolescent makes.       Gender (Binary)     Girl Boy Age Young Adolescents (11-14) 7, 2, 3, 5, 3 1, 2, 3, 2, 1 Older Adolescents (15-18) 15, 26, 19, 21, 18 10, 8, 5, 16, 9   ( What kind of statistical analysis do you need to use and why?  State the null and alternative hypotheses.  Check your assumptions. Include screenshots of your R output and explain why each of them are or are not met. Using R, run your analysis and include a screenshot.  Using R, run post-hoc tests and include a screenshot.  What do you…