Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
1. Intro to Stats and Collecting Data
Intro to Stats
Problem 1.CQQ.6
Textbook Question
Birth Weights For 100 randomly selected births from Bellevue Hospital Center, the birth weights are added and then divided by 100. The result is 3240 g. Is the value of 3240 g a statistic or a parameter?

1
Understand the difference between a statistic and a parameter: A statistic is a numerical value that describes a characteristic of a sample, while a parameter is a numerical value that describes a characteristic of a population.
Identify the sample and the population in the problem: The problem mentions 100 randomly selected births, which constitutes a sample from the larger population of all births at Bellevue Hospital Center.
Determine what the value 3240 g represents: Since the value is derived from the sample of 100 births, it is a measure of the average birth weight for this sample.
Recognize that because 3240 g is calculated from a sample, it is a statistic. A parameter would require data from the entire population of births at the hospital.
Conclude that the value of 3240 g is a statistic because it describes the average birth weight of the sample, not the entire population.

This video solution was recommended by our tutors as helpful for the problem above
Video duration:
2mPlay a video:
Was this helpful?
Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Statistic vs. Parameter
A statistic is a numerical value that describes a characteristic of a sample, while a parameter describes a characteristic of a population. In this context, the birth weights of 100 randomly selected births represent a sample, making the average weight of 3240 g a statistic, not a parameter.
Recommended video:
Guided course
Parameters vs. Statistics
Sample
A sample is a subset of a population selected for analysis. It is used to make inferences about the population without examining every individual. In the question, the 100 randomly selected births from Bellevue Hospital Center constitute a sample of the larger population of all births at the hospital.
Recommended video:
Sampling Distribution of Sample Proportion
Population
A population includes all members of a defined group that is being studied or analyzed. It is the complete set from which a sample is drawn. In this scenario, the population would be all births at Bellevue Hospital Center, while the sample is the 100 selected births.
Recommended video:
Population Standard Deviation Known
Watch next
Master Introduction to Statistics Channel with a bite sized video explanation from Patrick
Start learning