Exam 9: Hypothesis Testing and Effect Size: One-Sample Designs

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The Personal Control Questionnaire measures people's sense of the control they have over the events in their lives. The mean score for college students is 51. What do you think about students who are in academic difficulty? Suppose you gave the PC Questionnaire to 12 students who were in academic difficulty. Perform a t test, calculate the effect size index, and write a conclusion about academic difficulty and PC scores.48 , 44 , 53 , 35 , 58 , 42 , 55 , 37 , 50 , 46 , 40 , 32

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The p in p < .05 is the probability

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Data Set 9-2: Scores: 1, 2, 3, 4, 5 -Test the scores in Data Set 9-2 against H0: µ = 1.00. The t value that results is

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If a difference is statistically significant, the null hypothesis was rejected.

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The issue of the amount of difference between a population with an unknown mean (which you sample from) and a null hypothesis population (µ0 = 8) is the issue of

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The t distribution is a sampling distribution based on the assumption that the hypothesis is,.

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The probability figure that is the conventional cut-off for null hypothesis statistical testing is .95.

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The t distribution has a mean equal to

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Critical values are in the rejection region of the t distribution.

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For a one-sample t test, which of the following would be considered a small effect size?

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When statisticians talk about effect size, they are referring to

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The concept of using sample data to tell you whether the sample came from a hypothesized population is called

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A t test value that is smaller than the tabled value of t

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A hypothesis was proposed, an α\alpha level of .05 adopted, data gathered, a mean computed, and a probability figure attached to the mean. Which of the probabilities below are in the rejection region?

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Data Set 9-2: Scores: 1, 2, 3, 4, 5 -Refer to Data Set 9-2. For H0: μ\mu = 1.00, the effect size index is

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The statistic p tells you _______ and the statistic d tells you ________

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Many manufacturers of light bulbs advertise their 100 watt bulbs as having life of 750 hours (about a month). Suppose two electrically minded students wired up 10 bulbs so that the time was recorded when they burned out. The following statistics were obtained. Perform a t test, calculate the effect size index, and write a conclusion about the manufacturers' claim. Σ\Sigma X = 7400 Σ\Sigma X2 = 5,479,600 N = 10

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Using null hypothesis statistical testing, you can conclude that the null hypothesis is

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A null hypothesis is a statement about

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The two opposing hypotheses in null hypothesis statistical testing are the null hypothesis and the derivative hypothesis.

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