Fill in the blank: The count of all the objects, people, or things in the entire population
Fill in the blank: The count of all the objects, people, or things in the entire population
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Fill in the blank: The count of all the objects, people, or things in the entire population.
![**Educational Website Transcript**
**Statistical Terms Explained for Data Analysis**
As a data analyst, you might present to a company's board of advisors and need to explain statistical terms in simple language. Here is a list to help match each term with its definition effectively:
1. **Population**
- *Definition*: The set of data for ALL individuals or items of interest, e.g., everyone in the world, the entire state of Texas, or all of our customers.
2. **Sample**
- *Definition*: Data you take randomly from the population because it’s too costly or not feasible to measure the entire population. A subset of the population.
3. **[Select]**
- *Definition*: The count of ALL the objects, people, or things in the entire population.
4. **Term Options:**
- Alpha
- Alternative Hypothesis
- Degrees of Freedom
- Hypothesized Mean
- Null Hypothesis
- P-value
- **Population** (already defined)
- Population Mean
5. **Population Mean**
- *Definition*: The true average of the entire population, which is rarely known. However, the sample mean can be used as a close substitute for that of the entire population’s. The symbol for this term is useful when writing the null and alternative hypotheses to remind us why we use statistics: to infer about the population from random samples.
**Interface Description**
- The image shows a spreadsheet layout with columns for "Term" and "Definition."
- A drop-down menu is visible with several statistical terms.
- The interface is used to match terms with their respective definitions in an educational setting, illustrating practical usage in data analysis presentations.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F68cc5e62-1f1e-447e-86e2-72966307f0c4%2F85be9cad-f7b9-4c23-ae83-80618b00ef7f%2Fmutcvdq_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Educational Website Transcript**
**Statistical Terms Explained for Data Analysis**
As a data analyst, you might present to a company's board of advisors and need to explain statistical terms in simple language. Here is a list to help match each term with its definition effectively:
1. **Population**
- *Definition*: The set of data for ALL individuals or items of interest, e.g., everyone in the world, the entire state of Texas, or all of our customers.
2. **Sample**
- *Definition*: Data you take randomly from the population because it’s too costly or not feasible to measure the entire population. A subset of the population.
3. **[Select]**
- *Definition*: The count of ALL the objects, people, or things in the entire population.
4. **Term Options:**
- Alpha
- Alternative Hypothesis
- Degrees of Freedom
- Hypothesized Mean
- Null Hypothesis
- P-value
- **Population** (already defined)
- Population Mean
5. **Population Mean**
- *Definition*: The true average of the entire population, which is rarely known. However, the sample mean can be used as a close substitute for that of the entire population’s. The symbol for this term is useful when writing the null and alternative hypotheses to remind us why we use statistics: to infer about the population from random samples.
**Interface Description**
- The image shows a spreadsheet layout with columns for "Term" and "Definition."
- A drop-down menu is visible with several statistical terms.
- The interface is used to match terms with their respective definitions in an educational setting, illustrating practical usage in data analysis presentations.
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