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PYC3714-25-EX10
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Which of the following illustrates the classical approach to probability?
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One-sample t-tests are used to test if the mean score of a sample significantly differs from a specific value. The specific value may be any value chosen for scientific reasons; it could be a population mean, a standard value of interest or a mean that has been gathered from previous studies. For instance, we can conduct a one-sample t-test if we are interested in testing the level of self-esteem in a sample of engineering students against a particular value. If self-esteem is measured on a 7-point Likert scale and values above four are regarded as higher self-esteem, whereas values below 4 are regarded as lower self-esteem, then we can test if the mean is significantly different from 4. In one sample t-test, the degrees of freedom = n - - - - -.
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Data has been collected from 40 Clinical psychologists. The sample mean was calculated to be 55 with a standard deviation of 6. You want to determine whether this difference is significant, and start by determining the z-score for the sample mean. Which z-score is correct?
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Nominal scale is often described as a qualitative variable. Why is this the reason?
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See the standard normal distribution curve below and answer the following question.
What can you conclude about the area between -1 and 1?
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Which of the following is CORRECT regarding the Pearson chi-square test of independence?
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Which is a Type II error in statistical significance testing?
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What potential limitations arise in a study when the sample is not selected randomly?
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A researcher wants to determine the effectiveness of an assertiveness training course. She tests a sample of 200 participants before and after the workshop on a scale that measures assertiveness, and finds sample mean scores of M= 4.5 before and M= 5.7 after the training. The paired samples t-test revealed that this difference is statistically significant. The scores are, however, fairly close, and she is concerned that the result may be due to the relatively large sample size. What can she do to check whether the result is also fairly important in practical terms? She should-- - - - -.
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A researcher interested in investigating the effect of Anxiety on teenagers’ academic performance divides a sample of teenagers into subgroups of 13-14, 15-16, and 17-19. Then randomly selects teenagers from these subgroups. This is an example of - - - - - sampling.
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