Exam 16: A: Statistical Testing of Differences and Relationships

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In a beer consumption study,a researcher makes an assumption that males will consume more beer per week than females;this can be stated in a:

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What is the typical (rule of thumb)alpha level used in hypothesis testing?

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A p value of .285 would be acceptable for a research analyst to reject the null hypothesis.

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ANOVA is a statistical technique that permits the researcher to determine whether the variability among or across the independent sample means is greater than expected because of sampling error.

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The ANOVA technique requires two pieces of information from the researcher.Describe these two pieces of information and the level of measurement associated with each.

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Hypotheses are stated in two basic forms: __________ & _____________.

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When do you say the difference between two numbers is statistically significant?

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In most statistical software packages, the t-test is often substituted for which test statistic?

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The exact probability of getting a computed test statistic that was largely due to chance is referred to as the______________.

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A market researcher is trying to determine whether males differ from females with regard to the following question: Do you drink soft drinks? Which of the following tests would be most appropriate?

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A researcher is interested in comparing product rating scores between males and females.By drawing a sample of males and a sample of females,the researcher needs to find a statistical test that applies to____________.

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Researchers must be careful to distinguish statistical significance from:

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In testing a hypothesis from a random sample involving three or more means,the appropriate test would be a one-way ANOVA.

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Samples in which the measurement of a variable in one population may influence the measurement of the variable in the other are called:

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There are fewer statistics available for analyzing nominal data than there are for analyzing metric data.

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If the alternative hypothesis is supported,the researcher concludes there are significant differences in the phenomenon being measured.

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Researchers very rarely know the population mean.

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