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principles of managerial statistics

Questions and Answers of Principles Of Managerial Statistics

=+Task 6: Using the Glastonbury data from Chapter 6(GlastonburyFestival.sav), fit a model to see if the change in hygiene(change) is significant across people with different musical tastes (music).Do
=+Task 5: Mobile phones emit microwaves, and so holding one next to your brain for large parts of the day is a bit like sticking your brain in a microwave oven and pushing the ‘cook until well
=+Task 4: In Chapter 7 (Section 7.6) there are some data looking at whether eating soya meals reduces your sperm count. Analyse these data with a linear model (ANOVA). What’s the difference between
=+Task 3: Children wearing superhero costumes are more likely to harm themselves because of the unrealistic impression of invincibility that these costumes could create. For example, children have
=+Task 2: Compute the effect sizes for Task 1
=+second I encouraged students to discuss things that they found difficult and gave anyone working hard a nice sweet (reward). In the final course I neither punished nor rewarded students’ efforts
=+Task 1: To test how different teaching methods affected students’knowledge I took three statistics modules where I taught the same material. For one module I wandered around with a large cane and
=+17 These are not the actual data from the study, but are simulated to mimic the findings in Table 1 of the original paper.
=+Task 9: Tablets like the iPad are very popular. A company owner was interested in how to make his brand of tablets more desirable. He collected data on how cool people perceived a product’s
=+Task 8: Using the GlastonburyDummy.sav data, for which we have already fitted the model, comment on whether you think the model is reliable and generalizable.
=+Task 7: Repeat the analysis in Task 6 but include animal liking in the first block, and type of animal in the second block. Do your conclusions about the relationship between type of animal and
=+Task 6: In Chapter 4 (Task 6) we looked at data from people who had been forced to marry goats and dogs and measured their life satisfaction as well as how much they like animals (Goat or Dog.sav).
=+Task 5: Repeat the analysis in Task 4 but using the PROCESS tool to estimate the indirect effect and its confidence interval.
=+Task 4: In this chapter we tested a mediation model of infidelity for Lambert et al.’s data using Baron and Kenny’s regressions. Repeat this analysis but using Hook_Ups as the measure of
=+Task 3: McNulty et al. (2008) also found a relationship between a person’s Attractiveness and their relationship Satisfaction among newlyweds. Using the same data as in Tasks 1 and 2, find out if
=+Task 2: Produce the simple slopes graphs for Task 1.
=+Task 1: McNulty et al. (2008) found a relationship between a person’s Attractiveness and how much Support they give their partner among newlyweds. The data are in McNulty et al. (2008).sav. Is
=+Task 4: Repeat the analysis in Task 3 but include the pre-intervention exercise scores (Pre_Exercise) as a covariate. What difference does this make to the results?
=+Task 3: Hill, Abraham, & Wright (2007) examined whether providing 1253 children with a leaflet based on the ‘theory of planned behaviour’increased their exercise. There were four different
=+Task 2: Using our growth model example in this chapter, analyse the data but include Sex as an additional covariate. Does this change your conclusions?
=+Task 1: Using the cosmetic surgery example, run the analysis described in Section 21.6.5 but also including BDI, age and sex as fixed effect predictors. What differences does including these
=+17 I reconstructed the raw data from Figure 1 of the paper, so you will get basically the same values as reported there, but not the exact ones because they also controlled for the age and gender
=+Task 12: In a new study, the musicologist in Task 10 extended her previous one by collecting data from 430 musicians who played their voice (singers), guitar, bass, or drums (Instrument). She
=+Task 11: Which problem associated with logistic regression might we have in the analysis in Task 10?
=+Task 10: At the start of the chapter we looked at whether the type of instrument a person plays is connected to their personality. A musicologist measured Extroversion and Agreeableness in 200
=+Task 9: A female who used a condom in her previous encounter scores 2 on all variables except perceived risk (for which she scores 6). Use the model in Task 6 to estimate the probability that she
=+Task 8: Using the final model from Task 6, what are the probabilities 1184 that participants 12, 53 and 75 will use a condom?
=+Task 7: How reliable is the model in Task 6?
=+1, not used = 0). The predictor variables were mainly scales from the Condom Attitude Scale (CAS) by Sacco, Levine, Reed, & Thompson(1991): Gender; the degree to which the person views their
=+Task 6: An HIV researcher explored the factors that influenced condom use with a new partner (relationship less than 1 month old). The outcome measure was whether a condom was used (Use: condom
=+Task 5: Four hundred and sixty-seven lecturers completed questionnaire measures of Burnout (burnt out or not), Perceived Control (high score= low perceived control), Coping Style (high score = high
=+Task 4: In a second study, Piff et al. (2012) observed the behaviour of drivers and classified social class by the type of car (Vehicle), but the outcome was whether the drivers cut off a
=+Task 3: Piff, Stancato, Côté, Mendoza-Dentona, & Keltner (2012) used the behaviour of drivers to claim that people of a higher social class are more unpleasant. They classified social class by
=+Task 2: Are there any influential cases or outliers in the model for Task 1?
=+Task 1: A ‘display rule’ refers to displaying an appropriate emotion in a situation. For example, if you receive a present that you don’t like, you should smile politely and say ‘Thank you,
=+Task 11: On my statistics module students have weekly SPSS classes in a computer laboratory. I’ve noticed that many students are studying Facebook more than the very interesting statistics
=+At the end of August I interviewed these people and I classified the horoscope as having come true, or not, based on how closely their lives had matched the fictitious horoscope. Conduct a
=+Task 10: I was interested in whether horoscopes are tosh. I recruited 1110 2201 people, made a note of their star sign (this variable, obviously, has 12 categories: Capricorn, Aquarius, Pisces,
=+Task 9: Compute and interpret the odds ratio for Task 8.
=+Task 8: Certain editors at Sage like to think they’re great at football(soccer). To see whether they are better than Sussex lecturers and postgraduates we invited employees of Sage to join in our
=+Task 7: Compute and interpret the odds ratio for Task 6.
=+Task 6: I wrote much of the third edition of this book in the Netherlands (I have a soft spot for it). The Dutch travel by bike much more than the English. I noticed that many more Dutch people
=+Task 5: Using the data in Task 2, see whether the type of picture viewed was associated with the participant commenting on their own physical activity.
=+Task 4: Using the data in Task 2, see whether the type of picture viewed was associated with indicating that the athlete was a role model or motivating.
=+Task 3: Using the data in Task 2, see whether the type of picture viewed was associated with indicating admiration or jealousy for the athlete.1109
=+Task 2: Labcoat Leni’s Real Research 19.1 describes a study (Daniels, 2012) that looked at the impact of sexualized images of athletes compared to performance pictures on women’s perceptions of
=+Task 1: Research suggests that people who can switch off from work(Detachment) during off-hours are more satisfied with life and have fewer symptoms of psychological strain (Sonnentag, 2012).
=+Task 4: Zibarras, Port, & Woods (2008) looked at the relationship between personality and creativity. They used the Hogan Development Survey (HDS), which measures 11 dysfunctional dispositions of
=+Task 3: Dr Sian Williams (University of Brighton) devised a questionnaire to measure organizational ability. She predicted five factors to do with organizational ability: (1) preference for
=+Task 2: The University of Sussex constantly seeks to employ the best people possible as lecturers. They wanted to revise the ‘Teaching of Statistics for Scientific Experiments’ (TOSSE)
=+Task 1: Rerun the analysis in this chapter using principal component analysis and compare the results to those in the chapter. (Set the iterations to convergence to 30.)
=+(3) Select contrasts that test the hypothesis that second- and third-years will score higher than first-years on all scales. (4) Select post hoc tests and compare these results to the contrasts.
=+Task 3: I was interested in whether students’ knowledge of different aspects of psychology improved throughout their degree(Psychology.sav). I took a sample of first-years, second-years and
=+Task 2: A news story claimed that children who lie would become successful citizens. I was intrigued because although the article cited a lot of well-conducted work by Dr. Khang Lee that shows that
=+Task 1: A clinical psychologist decided to compare his patients against a normal sample. He observed 10 of his patients as they went through a normal day. He also observed 10 lecturers at the
=+DarkPink, Red) and sexual experience (Johns et al. (2012).sav). Look at page 3 of Johns et al. to see how to report the results
=+Task 7: Labcoat Leni’s Real Research 5.2 described a study by Johns et al. (2012) in which they reasoned that if red was a proxy signal to indicate sexual proceptivity then men should find red
=+Task 6: My wife believes that she has received fewer friend requests from random men on Facebook since she changed her profile picture to a photo of us both. Imagine we took 40 women who had
=+4. The only difference was that the participant’s violent acts in real life were monitored before the study, and after 1 month, 6 months and 12 months. Does playing Angry Birds make people more
=+Task 5: A different study was conducted with the same design as in Task
=+Task 4: Angry Birds is a video game in which you fire birds at pigs. Some daft people think this sort of thing makes people more violent. A(fabricated) study was set up in which people played Angry
=+Task 3: A researcher hypothesized that reality TV show contestants start off with personality disorders that are exacerbated by being forced to spend time with people as attention-seeking as them
=+forbidden from sending text messages for the same period (to ensure adherence, this group were given armbands that administered painful shocks in the presence of a phone signal). The outcome was a
=+Task 2: Text messaging and Twitter encourage communication using abbreviated forms of words (if u no wat I mean). A researcher wanted to see the effect this had on children’s understanding of
=+Task 1: In the previous chapter we looked at an example in which participants viewed videos of different drink products in the context of positive, negative or neutral imagery. Men and women might
=+Task 9: Analyse the data in Task 7 with a robust model. Do children take longer to put their hands in a box that they believe contains an 901 animal about which they have been told nasty things?
=+Task 8: Log-transform the scores in Task 7 and repeat the normality tests.
=+Task 7: Early in my career I looked at the effect of giving children information about animals. In one study (Field, 2006), I used three novel animals (the quoll, quokka and cuscus), and children
=+Task 6: Using SPSS Tip 15.3, change the syntax in SimpleEffectsAttitude.sps to look at the effect of drink at different levels of imagery.
=+Task 5: In the previous chapter we came across the beer-goggles effect. In that chapter, we saw that the beer-goggles effect was stronger for unattractive faces. We took a follow-up sample of 26
=+Task 4: The ‘roving eye’ effect is the propensity of people in relationships to ‘eye up’ people other than their current partner. I fitted 20 people with incredibly sophisticated glasses
=+Task 3: Calculate the effect sizes for the analysis in Task 1.
=+Task 2: Repeat the analysis for Task 1 using SPSS Statistics and interpret the results.
=+Task 1: It is common that lecturers obtain reputations for being ‘hard’ or‘light’ markers (or, to use the students’ terminology, ‘evil manifestations from Beelzebub’s bowels’ and
=+6 A less well-known country musician not to be confused with anyone who has a similar name and produces music that makes you want to barf.
=+Task 10: A researcher was interested in what factors contributed to injuries resulting from game console use. She tested 40 participants who were randomly assigned to either an active or static
=+Task 9: There are reports of increases in injuries related to playing Nintendo Wii (http://ow.ly/ceWPj). These injuries were attributed mainly to muscle and tendon strains. A researcher
=+Task 8: Using SPSS Tip 14.1, change the syntax in GogglesSimpleEffects.sps to look at the effect of alcohol at different 836 levels of type of face.
=+Task 7: Compute omega squared for the effects in Task 6 and report the results of the analysis.
=+Task 6: At the start of this chapter I described a way of empirically researching whether I wrote better songs than my old bandmate Malcolm, and whether this depended on the type of song (a
=+Task 5: In Chapter 4 we used some data that related to learning in men and women when either reinforcement or punishment was used in teaching (Method Of Teaching.sav). Analyse these data to see
=+Task 4: Compute omega squared for the effects in Task 3 and report the results of the analysis.
=+Task 3: In Chapter 5 we used some data that related to male and female arousal levels when watching The Notebook or a documentary about notebooks (Notebook.sav). Fit a model to test whether men and
=+Task 2: Compute omega squared for the effects in Task 1 and report the results of the analysis.
=+(liking) on a scale ranging from +100 (this is sick) through 0(indifference) to −100 (I’m going to be sick). Fit a model to test my idea(Fugazi.sav).
=+Task 1: I’ve wondered whether musical taste changes as you get older:my parents, for example, after years of listening to relatively cool music when I was a kid, hit their mid-forties and
=+Task 8: In Chapter 10 we compared the number of mischievous acts(mischief2) in people who had invisibility cloaks to those without(cloak). Imagine we also had information about the baseline number
=+Task 7: Compare your results for Task 6 to those for the corresponding task in Chapter 11. What differences do you notice and why?
=+Task 6: In Chapter 4 (Task 6) we looked at data from people who had been forced to marry goats and dogs and measured their life satisfaction and also how much they like animals (Goat or Dog.sav).
=+Task 5: The highlight of the elephant calendar is the annual elephant soccer event in Nepal (google search it). A heated argument burns between the African and Asian elephants. In 2010, the
=+Task 4: Compute effect sizes for Task 3 and report the results.
=+Task 3: A marketing manager tested the benefit of soft drinks for curing hangovers. He took 15 people and got them drunk. The next morning as they awoke, dehydrated and feeling as though they’d
=+Task 2: Compute effect sizes for Task 1 and report the results.
=+Task 1: A few years back I was stalked. You’d think they could have found someone a bit more interesting to stalk, but apparently times were hard. It could have been a lot worse, but it wasn’t
=+Task 9: A sociologist wanted to compare murder rates (Murder) each month in a year at three high-profile locations in London (Street). Fit a model with bootstrapping on the post hoc tests to see in
=+Task 8: Repeat the analysis in Task 7 but using copulatory efficiency as the outcome.
=+Task 7: Labcoat Leni’s Real Research 7.2 describes an experiment(Çetinkaya & Domjan, 2006) on quails with fetishes for terrycloth objects. There were two outcome variables (time spent near the
=+Do a simple contrast to compare each group against the no affiliation group. Compare the results to those described in Section 11.5.
=+Task 6: Using the Glastonbury data from Chapter 6(GlastonburyFestival.sav), fit a model to see if the change in hygiene(change) is significant across people with different musical tastes (music).
=+Task 5: Mobile phones emit microwaves, and so holding one next to your brain for large parts of the day is a bit like sticking your brain in a microwave oven and pushing the ‘cook until well

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