University:
University of the People
Course:
HS 4510 | Biostatistics
Academic year:

2024
Views:

333

Pages:

3
Author:

amrinderjeet kaur

HS 4241 - 01 Psychopathology and Mental Health - UNIT 7 Written Assignment Instructor: Pankaj Mehrotra Date: 17/03/2025 Q1: Indicate the following: ● Target Population: Male long-distance runners. ● Sampling Frame: The national list of all registered male and female long-distance runners. ● Sampling Method: Probability sampling. ● Type of Sampling Method: Simple random sampling, as the researcher randomly selected 30 male long-distance runners from the national list. Q2: Write a Null and an Alternative Hypothesis for this trial ● Null Hypothesis (H₀): There is no significant difference in muscle relaxation effect between the two drug concentrations (μH = μL). ● Alternative Hypothesis (H₁): There is a significant difference in muscle relaxation effect between the two drug concentrations (μH ≠ μL). Q3: Calculate the Difference in Means of the Two Samples Mean difference = Mean of high concentration group - Mean of low concentration group = 14 mm - 9.5 mm = 4.5 mm Q4: Calculate the Standard Error for the Difference of Means Formula for standard error (SE): Q5: Calculate the 95% Confidence Interval for the Difference in Means Formula: Using a Z-value of 1.96 for a 95% confidence level: Q6: Conclude Your Findings Since there is no zero in the confidence interval (4.034 mm, 4.966 mm), the null hypothesis is rejected. This implies that the effects of the two medication concentrations on muscular relaxation varied statistically significantly. It seems that the drug's higher concentration relaxes the muscle more than its lower concentration. Q7: Can the Researcher Apply the Results on Female Long-Distance Runners? No, the researcher is unable to extrapolate these findings to long-distance female runners. Due to physiological variations between male and female athletes (such as muscle mass, hormone levels, and medication sensitivity), the study only included male participants. To ascertain the impact on women, a different study involving female participants would be necessary. REFERENCES: ● Illowsky, B. and Dean, S. (2017). Introductory Statistics. OpenStax Rice University. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).