The data in the table can be used to describe a high level of female empowerment for which of the following countries? Mexico
Answer A: Mexico
A

India
Answer B: India
B

Nigeria
Answer C: Nigeria
C

France
Answer D: France
D

Egypt
Answer D: Egypt
E

Generate a research topic/hypothesis, for example some type of old's wives tale or cliche. identify the population of interest. how will you will randomly select in order to get a representative sample? how you will randomly assign the sample into the experimental and control group? what variable(s) will each group receive? identify the independent and dependent variables. explain how you will control for outside/confounding variables. the following is an example: example: topic: does more time spent studying lead to better grades on exams in college students. population of interest: all students enrolled at college random selection: access database with the names of all students and every 5th student will be involved in study. random assignment: every other student gets sent to the experimental group. experimental group: studies for two hours per night 5 days a week. control group: studies for less than 2 hours per night 5 days a week. independent variable: time spent studying dependent variable: exam scores control for: all students study on same nights, have same instructor, take same posttest, study same material, take exam at same time, etc. everything should be the same between the two groups except the amount of time spent !

This is science by the way which of the following is an example of an environmental pressure a. the air pressure in the atmosphere b. a lake that is gradually running out of water c. a fight between two members of the same species d. breeding between two members of the same species

Researchers pose the question: can shoe size be predicted from a woman's height? a random sample of 18 females and their shoe size versus height (in inches) gives the regression results shown in the table. predictor coeff se coeff t ratio p-value constant -45.74 32.58 -2.57 0.147 height 0.5943 0.2984 1.99 0.042 s = 3.2178 r-sq. = 18.9% r-sq. (adj) = 12.4% is there statistical evidence of a linear relationship between shoe size and height? no, because r2, the coefficient of determination, is too small no, because 0.147 is above any reasonable significance level yes, there is evidence at the 5% significance level yes, because, by any reasonable observation, taller women tend to have a larger shoe size