What is the population A) The 16 tourists selected B) Moscow attractions C) Moscow tourists What is the variable of interest? and is this variable Quantitative or Qualitative? A) one-day travel expense, quantitative B) success = visit Moscow, quantitative C) one-day travel expense, qualitative D) success = visit Moscow, qualitative
What is the population A) The 16 tourists selected B) Moscow attractions C) Moscow tourists What is the variable of interest? and is this variable Quantitative or Qualitative? A) one-day travel expense, quantitative B) success = visit Moscow, quantitative C) one-day travel expense, qualitative D) success = visit Moscow, qualitative
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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Question
What is the population
A) The 16 tourists selected
B) Moscow attractions
C) Moscow tourists
What is the variable of interest? and is this variable Quantitative or Qualitative?
A) one-day travel expense, quantitative
B) success = visit Moscow, quantitative
C) one-day travel expense, qualitative
D) success = visit Moscow, qualitative
![### Testing the Mean One-Day Travel Expense for Tourists in Moscow
It is suggested that the **mean one-day travel expense by tourists in Moscow is $500** (assume all one-day travel expenses in Moscow are approximately normally distributed). In **a random sample of 16 Moscow tourists**, the sample mean one-day travel expense was **$482 with a sample standard deviation s = 22.5**. Our goal is to **test whether or not the mean one-day travel expense is $500 or not**.
**Questions:**
1. **What is the population?**
```
[ Select ]
```
2. **What is the variable of interest and is this variable Quantitative or Qualitative?**
```
[ Select ]
```
**In other words:** What is the one piece of information we care about for each individual in the population? Is it a quantitative measurement? Or do we determine if each individual belongs to a certain category (referred to as success) or not (failure)?
### Graphs and Diagrams
There are no graphs or diagrams present in this section. The explanation provided is conceptual and involves selecting options for the given questions about population and variable characteristics.
---
**Note:** This content aims to introduce hypothesis testing for means, involving population and sample statistics. Users are encouraged to think critically about the nature of variable measurements in statistical analysis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2084241c-bd3f-4e80-9668-8ab2ad0edb7d%2Fb3686a36-7328-4e81-9844-e2675fda7fb2%2F5lspg6s_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Testing the Mean One-Day Travel Expense for Tourists in Moscow
It is suggested that the **mean one-day travel expense by tourists in Moscow is $500** (assume all one-day travel expenses in Moscow are approximately normally distributed). In **a random sample of 16 Moscow tourists**, the sample mean one-day travel expense was **$482 with a sample standard deviation s = 22.5**. Our goal is to **test whether or not the mean one-day travel expense is $500 or not**.
**Questions:**
1. **What is the population?**
```
[ Select ]
```
2. **What is the variable of interest and is this variable Quantitative or Qualitative?**
```
[ Select ]
```
**In other words:** What is the one piece of information we care about for each individual in the population? Is it a quantitative measurement? Or do we determine if each individual belongs to a certain category (referred to as success) or not (failure)?
### Graphs and Diagrams
There are no graphs or diagrams present in this section. The explanation provided is conceptual and involves selecting options for the given questions about population and variable characteristics.
---
**Note:** This content aims to introduce hypothesis testing for means, involving population and sample statistics. Users are encouraged to think critically about the nature of variable measurements in statistical analysis.
![### Statistical Analysis: Understanding Mean Travel Expenses
Consider a situation where we want to test a hypothesis regarding travel expenses. In a given study, a sample size of \( n = 137 \) travelers is used. The mean one-day travel expense is found to be \$482 with a sample standard deviation \( s = 22.5 \). Our goal is to test whether or not the mean one-day travel expense is \$500 or not.
#### Questions and Thought Process:
**1. What is the population?**
- [Dropdown Menu for Selection]
**2. What is the variable of interest and is this variable Quantitative or Qualitative?**
- [Dropdown Menu for Selection]
**Explanation (In other words):**
- What is the one piece of information we care about for each individual in the population? Is it a quantitative measurement? Or do we determine if each individual belongs to a certain category (referred to as success) or not (failure)?
- If it is a quantitative measurement, then the population is filled with numbers. Otherwise, the population is filled with words.
To answer these questions, you need to understand the nature of your data and the specific information you are trying to analyze. Quantitative variables are numerical and can be measured, whereas qualitative variables describe categories or groups. Identifying whether your variable of interest is quantitative or qualitative is crucial in choosing the correct statistical method for analysis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2084241c-bd3f-4e80-9668-8ab2ad0edb7d%2Fb3686a36-7328-4e81-9844-e2675fda7fb2%2Fytend3_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Statistical Analysis: Understanding Mean Travel Expenses
Consider a situation where we want to test a hypothesis regarding travel expenses. In a given study, a sample size of \( n = 137 \) travelers is used. The mean one-day travel expense is found to be \$482 with a sample standard deviation \( s = 22.5 \). Our goal is to test whether or not the mean one-day travel expense is \$500 or not.
#### Questions and Thought Process:
**1. What is the population?**
- [Dropdown Menu for Selection]
**2. What is the variable of interest and is this variable Quantitative or Qualitative?**
- [Dropdown Menu for Selection]
**Explanation (In other words):**
- What is the one piece of information we care about for each individual in the population? Is it a quantitative measurement? Or do we determine if each individual belongs to a certain category (referred to as success) or not (failure)?
- If it is a quantitative measurement, then the population is filled with numbers. Otherwise, the population is filled with words.
To answer these questions, you need to understand the nature of your data and the specific information you are trying to analyze. Quantitative variables are numerical and can be measured, whereas qualitative variables describe categories or groups. Identifying whether your variable of interest is quantitative or qualitative is crucial in choosing the correct statistical method for analysis.
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