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One-Sample -Test Formula
The statistic for a one-sample -test is calculated by subtracting the hypothetical population mean () from the sample mean (), and dividing this difference by the sample standard deviation () divided by the square root of the sample size (). The formula is .
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Research Methods in Psychology - 4th American Edition @ KPU
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One-Sample -Test Formula
What is the primary purpose of a one-sample -test?
A clinical psychologist can use a one-sample -test to evaluate whether a sample of patients with a specific disorder has a different average anxiety score than the established national average for the general population.
A clinical psychologist wants to determine if the average sleep duration of 31 patients with a specific diagnosis differs from the general population mean of 7.0 hours. Match each statistical component of the one-sample -test to its correct value or description from this study.
A neuropsychologist is using one-sample -tests to compare cognitive scores from different patient groups to a known population mean. Assuming the sample mean () is higher than the population mean () in all groups, rank the following scenarios from the highest calculated -value (top) to the lowest calculated -value (bottom).
An experimental psychologist is critiquing a research report that mistakenly uses a one-sample -test to compare the average test scores of two separate and independent student groups. The psychologist points out that this is an improper application of the statistic because a one-sample -test is specifically designed to evaluate a single sample mean () against a(n) ______ mean ().
A researcher is evaluating whether the average test score of a sample of students () is significantly different from the district-wide average of . Given that the researcher is comparing a single sample to a fixed value and lacks the population standard deviation, the most appropriate statistical procedure for this evaluation is a(n) ______.
What is the primary purpose of a one-sample -test?
A researcher would use a one-sample -test to determine whether the average memory score of a specific group of participants () significantly differs from a known national average score ().
A social psychologist investigates whether the average level of 'community belonging' among students at a specific college differs from the national average score of 12.0. They survey a sample of 31 students and find a mean () score of 14.5 with a standard deviation () of 2.1. Match each numerical value from this study to its correct statistical role in a one-sample -test.
A psychologist is testing whether the average score on a new 'Resilience Scale' for a group of trauma survivors differs from the established general population mean of 50. Arrange the following steps in the logical order required to conduct and interpret a one-sample -test.
Hypotheses in a One-Sample -Test
Example of a One-Sample -Test
Define the one-sample -test and identify the two specific values that are compared in this statistical procedure.
Based on the researcher's goal to compare the sample's performance to the national standard, explain why a one-sample -test is the appropriate statistical procedure for this scenario. Be sure to identify what values in this scenario correspond to and .
A developmental psychologist wants to evaluate if the average vocabulary size of 5-year-olds in a specific town differs from the known national average of 2,500 words. How should the psychologist use the sample mean () and hypothetical population mean () in a one-sample -test to achieve this goal?
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Which of the following is the correct formula for calculating the statistic in a one-sample -test?
In the one-sample -test formula (), each mathematical component represents a specific concept used in psychological research. Match each term with the concept it quantifies.
Based on the mathematical relationships in the one-sample -test formula , arrange the following research scenarios from the one that results in the smallest absolute value (order 1) to the one that results in the largest absolute value (order 4).
A researcher evaluates two potential modifications to a study design to increase the magnitude of the statistic (). Modification A is to quadruple the sample size (), and Modification B is to double the difference between the sample mean and the population mean (). The researcher concludes that both modifications will have an identical impact on the calculated value, specifically doubling its magnitude. This evaluation is correct.
In the formula for a one-sample -test, the sample mean () is subtracted from the hypothetical population mean () to calculate the numerator.
In the one-sample -test formula , what does the final calculated value represent conceptually?
A cognitive psychologist is testing a new memory-enhancement technique. The average number of words recalled by the general population on a specific test is 15. A sample of 36 students using the new technique recalls an average of 18 words with a sample standard deviation of 9. Using the one-sample -test formula , the statistic for this sample is _____.
A clinical psychology researcher wants to test whether an intervention reduces anxiety scores below the national average. The hypothetical population mean anxiety score is . After the intervention, a sample of participants has a mean anxiety score of with a sample standard deviation of . Using the one-sample -test formula , calculate the statistic. Show your work step-by-step and explain how the numerator and the denominator each contribute to the final calculated value.
Analyze Dr. Smith's error in the calculation. How does failing to take the square root of the sample size () mathematically distort the denominator of the statistic formula, and what impact does this specific error have on the resulting value? Provide the correct calculation to support your analysis.
A researcher is evaluating two strategies to try and increase the absolute value of their statistic in a one-sample -test. Strategy A involves refining their measurement tool to decrease the sample standard deviation (), while Strategy B involves purposefully reducing the sample size () to save money. Evaluate which strategy is mathematically sound for increasing the absolute value of based on the formula , and briefly explain why.