Question

a. What statistical procedure will solve this problem? A researcher studied two groups to see the effect of cigarette smoking on marathon runners. Participants are randomly selected and assigned to two independent groups. Group one runners smoked cigarettes and group 2 did not smoke cigarettes. Was there a difference between the groups?

Group of answer choices

one sample t

independent t

dependent t

b. What statistical procedure will solve this problem? Suppose that a teacher tests his claim that students who study 8 hours per day during weekends will get better grades in his course than students who only study 4 hours per day during weekends.

Group of answer choices

dependent t

independent t

c. What statistical procedure will solve this problem? A researcher compares iron levels in two samples of young adult women: Sample 1 is instructed to eat mean for one month on a daily basis. Sample 2 is instructed to not eat meat for the same period of time. At the end of the month, the researcher measures iron levels in every participant. Was there a significant difference between the groups?

Group of answer choices

dependent t

independent t

d. What statistical procedure will solve this problem? It was found that a sample of 30 ten-year-olds in the Fontana School District measured an average height of 55 inches. Is this sample significantly taller than the population of 10 year-olds in the U.S. with a population height of u=54.5 inches with a standard deviation of 2 inches?

Group of answer choices

one sample t

one sample z

e. What statistical procedure will solve this problem? The National Transportation Safety Board (NTSB) wants to examine the safety of compact cars, midsize cars, and full-size cars. It collects a sample of three for each of the treatments (car types). Does the data show a significant difference between the groups in the mean pressure applied to the driver's head during a crash. Use alpha = 5%.

Group of answer choices

independent t

1-way ANOVA

dependent t

Pearson r correlations

f. What statistical procedure will solve this problem? Find if there is a significant correlation between the results of IQ test and Test A scores.

Group of answer choices

dependent t

Pearson r correlations

independent t

Answer 1

a.

The research is to test the effect of smoking on marathon runners. One sample is marathon runners who smoke cigarettes and another sample is marathon runners who do not smoke cigarettes. The samples are random and independent. The appropriate test is the independent t.

b.

The research is to test the effect to study hours on grades. One sample is students who study 8 hours per day during weekends and the another sample is students who study 4 hours per day during weekends. The samples are random and independent. The appropriate test is the independent t.

c.

The research is to test the effect to eating meat on iron level in young adult women. One sample is young adult women who eat meat for one month and the another sample of young adult women who do not eat meat for one month. The samples are random and independent. The appropriate test is the independent t.

d.

The research is to test whether the sample of 30 ten-year olds in the Fontana School District provide evidence that they are taller than the population of 10 year-olds in the U.S with a population height of mean 54.5 inches and standard deviation of 2 inches. The population standard deviation is known and the sample size is 30. The sample is single sample and random. So the appropriate test is one sample z.

e.

The research is to test whether ther is significant different between the groups of three types of cars in the mean pressure applied to the driver's head during a crash. The samples are random and independent and the number of samples is greater than 2. The variable of interest is the mean pressure. So the appropriate test is the 1-way ANOVA.

f.

The research is to test whether there is a significant correlation between the results of IQ test and Test A scores. The samples are random and dependent and the variable of interest is the correlation. So the appropriate test is the Pearson r correlations.