A researcher wants to see if gender and/or income affect the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help.  The independent variables are gender, income, and the interaction of gender and income.  The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affect the

If my hypothesis assumes that religious women are more satisfied with life than men, would gender be my dependent variable? Religion and satisfaction with life are both independent? Is that correct?

Omitting a variable from our model that has a causal effect on our dependent variable always leads to omitted variable bias.   a. False   b. True

a.  Is there a main effect of Drug Dose? Explain. b.  Is there a main effect of Sex?  Explain.  c.  Is there an interaction between Sex and Drug Dose?  Explain.

Describe the difference between causation between two variables and a relationship between two variables.

A researcher found that counties with a high rate of passport ownership also have low rates of obesity, and counties with low rates of passport ownership have high rates of obesity. This is an example of what kind of relationship? Positive Negative Spurious Intervening

A drug company claims that an allergy medication causes headaches in 5% of those who take it. A medical researcher believes that more than 5% of those who take the drug actually get headaches. Identify the population. all individuals who take the medication. more than 5% of those who take the drug actually get headaches. the proportion of those who take the drug who get a headache. 5% of those who take the drug actually get headaches. What is the variable being examined for individuals in the population(s)? 5% of those who take the drug actually get headaches. more than 5% of those who take the drug actually get headaches. the proportion of those who take the drug who get a headache. whether or not a person who takes the drug gets a headache. Is it categorical or quantitative? Categorical Quantitative Identify the parameter(s).  whether or not a person who takes the drug gets a headache. the proportion of those who take the drug who get a headache. the mean of those…

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?

Scenario: Album Sales: A study was done to see whether getting radio airtime and spending money on advertisements accurately predicts the number of album copies sold. A random sample of 200 artists’ albums were tracked on the number of times their songs play on the central radio station, how much money (in thousands) they spent on advertisements, as well as the number (in thousands) of album copies were sold. A record company wanted to determine if there was a positive relationship between album sales and the other two variables (money spent on advertisements and number of albums sold)   What is the Null and alternative hypotheses (based on context of study) in symbols and words: