In order to determine whether factors influence or interact with each other, a researcher must use two experiments. a factorial design. a between-subjects design. a mixed design.
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- Research study comparing alcohol use for college students in the United States and Canada reports that more Canadian students drink but American students drink more. Is this study an example of an experiment? Answer yes or no and why or why not. Write two answers for this question. If one answer is wrong, the entire answer is wrong?Dr. Jarry applies for a research grant to examine whether electrolyte-enriched water affects athletic performance. They propose enrolling 50 college distance runners who will consume 28 ounces of water or 28 ounces of an electrolyte-enriched solution 30 minutes before running a timed 5000 meter race. Dr. Jarry states that runners will be randomly assigned to the control group (distilled water) or the treatment group (electrolyte- enriched water). Both the electrolyte solution and the distilled water will be provided to the runners in unlabeled opaque bottles. The electrolyte solution is identical in appearance and taste to distilled water. Unfortunately, the funding agency rejects the proposal due to inadequate blinding procedures. Which of the following might have been a reason for the funding agency to reject the proposal? It is not clear whether the researcher is blinded It is not clear whether the subjects are blinded It is not clear whether either the researcher or the subjects…Answer true or false to each of the following statements and explain your answers. a. In a two-way ANOVA, if there is an interaction between Factor A and Factor B, then there must be a main effect due to at least one of the factors.b. In a two-way ANOVA, if there is no Factor A main effect and no Factor B main effect, then there can be no interaction effect between Factor A and Factor B.
- A researcher wants to conduct an experimental study on the effect of learning strategies (cooperative and conventional) and learning interest (low, medium, and high) on learning outcomes. The total number of research samples is 90 students and each cell is 15 students. You determine the research data on the learning outcomes yourself. Interpret the results of the research data analysis.In this study, the college instructor aims to know whether there are differences in the performance of students among the three classroom environments. We consider the _______________. as the factor variable. Also, the response variable is the _____________. which is in the ___________________. level of measurement. The students were independently and randomly assigned to each of the three classroom environments: Mozart piece, relaxation music, and silence. The p-values obtained from the Shapiro-Wilk test indicate that the assumption of ________________. was ___________________. Further, results obtained from the Levene’s test indicate that the assumption of _______________ was ________________. Considering the variable of interest and the results of the test for the assumptions, the appropriate test procedure to analyze the given data is the ________________ The appropriate set of hypotheses to test the given objective is Ho: _____________and Ha: _________________. The test yield…According to a Gallup poll in October 2015, having young children at home greatly influences whether women in the U.S. prefer to stay at home or work outside of it. More than half of women, 56%, who have a child younger than 18 would ideally like to stay home and care for their house and family, while 58% of those without young children would rather work outside the home. Having young children makes little difference in men's preferences, with close to three-quarters preferring to work regardless of their parenting status. Gallup states that their method has a margin of error of 0.031.(a) Give a point estimate for the proportion of all US women with a child under 18 that would like to stay at home.(b) Give an interval estimate for the proportion of all US women with a child under 18 that would like to stay at home. Use three decimal places in your answer.( , )(c) What is the difference between a point estimate and an interval estimate?
- 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 total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables affected total help if he rejects the null hypothesis. Is there significance for either gender or income?Camille for her part wants to assess the impact of an awareness campaign aimed at reducing the amount of household food waste. The campaign is taking place in a subset of neighborhoods of Ville de Montréal. Camille’s objective is to compare the average amount of food waste produced in those neighborhoods, with that in neighborhoods not targeted by the campaign. Therefore, she randomly chooses five neighborhoods targeted by the campaign and five neighborhoods where the campaign does not take place. In each of the 10 neighborhoods, she monitors the weekly amount of food waste (kg) for each of a number of households, and calculates amounts on a per household basis; see below. Is the amount of food waste per household in the neighborhoods targeted by the campaign lower, on average, than in those not targeted by the campaign? Use α= 0.05.A student researcher wants to test the hypothesis that an individual’s sex and education levels affect one’s political views. They examine males and females among three different education levels: high school, undergraduate, and graduate. Analysis: Ho: