A researcher was interested whether an individual's preference in political party affiliation was influenced by their level of education and gender. A random sample of participants were recruited, and preferences were scored from 0 - 10 (0 meaning no preference, 10 meaning greater preference). The researcher then divided participants by gender (1 = male/2 = female) and then again by level of education (1 = some school/2 = college/3 = university). Assume alpha at 0.05.   Gender Education Level Political Interest 1 2 10 1 1 9 1 2 2 1 3 2 2 1 1 1 2 3 1 1 4 2 3 4 2 1 9 1 3 8    What is the dependent variable?  What is the appropriate type of statistical analysis to run?  What is the conclusion? Please write in APA format.

Do larger universities tend to have more property crime? University crime statistics are affected by a variety of factors. The surrounding community, accessibility given to outside visitors, and many other factors influence crime rate. Let x be a variable that represents student enrollment (in thousands) on a university campus, and let y be a variable that represents the number of burglaries in a year on the university campus. A random sample of n = 8 universities in California gave the following information about enrollments and annual burglary incidents.x  12.3 28.6  24.5 14.3  7.5   27.7 16.2 20.1y   23   72     39      23    15    30    15    25   a) Compute r. (Round your answer to four decimal places.)

Do larger universities tend to have more property crime? University crime statistics are affected by a variety of factors. The surrounding community, accessibility given to outside visitors, and many other factors influence crime rate. Let x be a variable that represents student enrollment (in thousands) on a university campus, and let y be a variable that represents the number of burglaries in a year on the university campus. A random sample of n = 8 universities in California gave the following information about enrollments and annual burglary incidents. x 10.9 30.4 24.5 14.3 7.5 27.7 16.2 20.1 y 23 76 39 23 15 30 15 25   (a) Make a scatter diagram of the data. Then visualize the line you think best fits the data. A scatter diagram has a horizontal axis labeled "x (student enrollment (in thousands))" with values from 7.5 to 30.4 and a vertical axis labeled "y (annual number of burglaries)" with values from 15 to 76. The scatter diagram has 8 points. A pattern goes up and…

his question refers to excavations at a national monument. One question the archaeologists asked was: Is raw material used by prehistoric Indians for stone tool manufacture independent of the archaeological excavation site? Two different excavation sites gave the information in the following table. Use a chi-square test with 5% level of significance to test the claim that raw material used for construction of stone tools and excavation site are independent.   Excavation Site   Material Site A Site B Row Total Basalt 756 559 1315 Obsidian 92 103 195 Pedernal chert 514 521 1035 Other 88 91 179 Column Total 1450 1274 2724 (a) What is the level of significance?   (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.)