Exercise 1. The way to distinguish the difference between the explanatory and response variables is by asking, “Which statement makes sense?” Does A cause B? B should be in response to the explanatory A. For example, A researcher wants to examine whether babies fed on breast milk are more or less likely to be ill. Statement 1: Feeding a baby on breast milk causes resistance to disease. Statement 2: Resistance to disease causes a baby to feed on breast milk. Identify which variable is the explanatory (A) and which is the response: presence or absence of breast milk; resistance to disease   Exercise 2. In each part below, identify the explanatory and response variables. (a) An experiment was conducted to test the effects of sleep deprivation on human response times. (b) Researcher Penny Gordon Larson and her associate wanted to determine whether young couples who marry or cohabitate are more likely to gain weight than those who stay single

What statistical test would a researcher use to test the following research hypothesis: Individuals who report less favorable attitudes toward the police are more likely to be sentenced to higher security prisons. Attitudes measured as 1 = very favorable, 2 = somewhat favorable, 3 = somewhat not favorable, and 4 = not at all favorable. Sentences measured as 1 = minimum, 2 = medium, and 3 = maximum.

Need asap please. Just need help with Part b.

I need Help with this question please. Heres what I need: A) Identify the Population and Population parameter of interest B) Decribe the Sample and Sample statistic for the study C) Identify the type of study D) Discuss what additional facts you would want to know before you believed the study or acted on the results of the study.

The hypothesis should revolve around one of the variables collected for all subjects. Your results section should describe the general course of one subject’s response from your individual analysis and then evaluate your hypothesis for a specific collective variable.    Please explain this in plain english. I dont understand the instructions. Here is a reference of the subjects.

Several friends charted a boat for a day's fishing. They caught a total of 51 fish. The table below provides information about the type and number of fish caught. determine the empirical probablity that the next fish caught is a flounder. Grouper - 15 Shark - 17 Flounder - 8 Kingfish - 11

I would like to know if my questions are correctly answered.

A high school track coach wanted to test whether giving the students an energy drink could affect performance during the 100 meter race. The coach split the 26 boys into two equal sized groups, where Group 1 was given the energy drink and Group 2 was not. The 100 meter race times were recorded during practice and shown in the table below. What inference can be made about the results? Group 1 Group 2 12.2 13 12.5 12.3 13.3 12.8 12.9 13 13 13.8 12.1 13 13 13 13 13 12.1 13 13 13 12.1 13 12.8 13 13 12.6     Mean: 12.7 Mean: 13   Since the simulation shows ( many cases or free cases )?  where a mean  difference of ( solve for this answer )   or less occurred when the groups were re-randomized, it can be inferred that the mean difference observed in the study was ( very possibly or very unlikely )  ?due to the random assignment of participants into groups, so the results of the study are (…

Which of the following is not true regarding internal validity and external validity1. It’s OK for a study to have low internal validity, but it’s not OK for a study to have low external validity 2. It’s OK for a study to have low external validity, but it’s not OK for a study to have low internal validity 3. Internal validity is the foundation for external validity4. External validity is the foundation for internal validity

What is the difference between an observational study and an experiment? Choose the correct answer below. O A. In an experiment, a treatment is applied to part of a population and responses are observed. In an observational study, a researcher measures characteristics of interest of a part of a population but does not change existing conditions. O B. In an experiment, a researcher measures characteristics of interest of an entire population but does not change existing conditions. In an observational study, a treatment is applied to an entire population and responses are observed. O C. In an experiment, a treatment is applied to an entire population and responses are observed. In an observational study, a researcher measures characteristics of interest of an entire population but does not change existing conditions. O D. In an experiment, a researcher measures characteristics of interest of a part of a population but does not change existing conditions. In an observational study, a…