A software development company created a new app for fitness, and they want to determine if using the app can lead to weight loss and increased strength in customers. Should they run an observational study or experiment?
Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically2h 8m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables3h 28m
- 6. Normal Distribution & Continuous Random Variables2h 21m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 37m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals22m
- Confidence Intervals for Population Mean1h 26m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 33m
- 9. Hypothesis Testing for One Sample3h 32m
- 10. Hypothesis Testing for Two Samples4h 49m
- Two Proportions1h 12m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 2m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 59m
- 13. Chi-Square Tests & Goodness of Fit2h 31m
- 14. ANOVA2h 1m
1. Introduction to Statistics
Intro to Collecting Data
Struggling with Statistics for Business?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
An office manager wants to determine how employees feel about their personal growth and professional achievement in the last quarter. Should they run an observational study or experiment?
A
Experiment
B
Observational study
C
Neither
D
Both
Verified step by step guidance1
Understand the difference between an observational study and an experiment: An observational study involves observing and collecting data without manipulating any variables, while an experiment involves actively manipulating one or more variables to observe their effect on an outcome.
Identify the goal of the office manager: The manager wants to determine how employees feel about their personal growth and professional achievement, which involves collecting subjective opinions or perceptions.
Determine whether manipulation of variables is necessary: Since the manager is only interested in gathering employees' feelings and not testing the effect of any intervention or change, no variables need to be manipulated.
Conclude that this situation aligns with an observational study: The manager would likely conduct surveys, interviews, or other methods to observe and record employees' responses without interference.
Verify that an experiment is not appropriate: An experiment would require introducing a specific change or treatment to measure its impact, which is not the case here. Therefore, the correct approach is an observational study.
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