2. A criminal profiler is seeking to create a profile and notes that a suspect liked to watch the fire trucks arrive at the fires that he set. What is this an example of? Antecedent

"Tech D" has collected data concerning their 622 employees: 305 are married; 332 are over 40 years old; 311 are female; 196 are married and over 40; 181 are married and female; 235 are over 40 and female; 126 are married, over 40, and female. How many employees are over 40 and not married? You may want to draw a Venn Diagram to illustrate this situation.

pls answer no.9 on paper

We are interested in looking at the effect of a baseball player’s free agent status on their salary. We look at 337 baseball players and categorize them as either having a high salary (above 2 million) or not, and as either being free agents or not. ------------------------------ You also wonder if having a high batting average affects the salary of baseball players. You classify all 370 baseball players as having a high batting average if it is over .300. 1. What is the conditional distribution of high salary when looking only at those who have high batting averages? 2. What is the marginal distribution of high salary? 3. Give the four expected counts.

A researcher is interested in the affects that a person’s avatar (i.e. visual representation of oneself) has on the number of profile views on Facebook.com.  The average number of individual personal profile views is known to be 230 views per day (excluding bands, artists, etc.).  The researcher creates 36 fictitious profiles that contain roughly the same information but the picture (avatar) is an animated .gif of a smiling face (36 faces randomly selected from a compilation of faces judged to be of average attractiveness).  The results showed that of the 36 profiles the average number of views was 250 with a standard deviation of 60.  Test the hypothesis that the average number of views for a smiling face gif is significantly different than the usual number of personal profile views.

Multiple Comparisons Dependent Variable: RAPEMYTH Tukey HSD Mean Difference (- J) 95% Confidence Interval () MOST WOMEN FIND ME UNATTRACTIVE (J) MOST WOMEN FIND ME UNATTRACTIVE Agree somewhat Std. Error Sig. Lower Bound Upper Bound Agree strongly 2.69258 .56229 .000 1.2458 4.1393 Disagree somewhat 3.10941" .53686 .000 1.7281 4.4907 Disagree strongly 3.85225 .52543 .000 2.5003 5.2042 Agree somewhat Agree strongly -2.69258 .56229 .000 -4.1393 -1.2458 Disagree somewhat .41684 .32901 .584 -.4297 1.2634 Disagree strongly 1.15967" .31001 .001 .3620 1.9573 Disagree somewhat Agree strongly -3.10941 .53686 .000 -4.4907 -1.7281 Agree somewhat -.41684 .32901 .584 -1.2634 .4297 Disagree strongly .74283 .26107 .023 .0711 1.4146 Disagree strongly -3.85225 -1.15967 -74283 Agree strongly .52543 .000 -5.2042 -2.5003 Agree somewhat 31001 .001 -1.9573 -.3620 Disagree somewhat *. The mean difference is significant at the 0.05 level. .26107 .023 -1.4146 -.0711 RAPEMYTH Tukey HSD*. Subset for alpha = 0.05…

We discuss how to test for an association between two categorical variables in Section 6.8. A marine research team records the number of fish from 3 species that they find at different depth categories in the ocean.   They are interested in assessing whether or not there is a relationship between the depth category (close to surface, mid-level, ocean floor) and the fish species found (species A, species B, species C). A two-way table showing the classification of a sample of 150 observations is given below.   If the variables for the ocean depth category and the species are independent, how would you calculate the expected number of fish that are at the mid-level and from species C? Expected number =

We are interested in looking at the effect of a baseball player’s free agent status on their salary. We look at 337 baseball players and categorize them as either having a high salary (above 2 million) or not, and as either being free agents or not. ------------------------------ You also wonder if having a high batting average affects the salary of baseball players. You classify all 370 baseball players as having a high batting average if it is over .300.   1. The given χ2test table gives many test statistics. The row we want to look at is labeled Pearson Chi-Square. Give the test statistic, the degrees of freedom, and the p-value. 2. At a significance level of .05, what can you conclude in the context of this problem?

An appropriate measure of association for wondering whether gender (male =1, female =2) has an effect on happiness( not too happy =1, pretty happy =2, and very happy =3) would be?

Given the following table summarize the responses of 270 people