We will use the same raw data we curated from our midterm project. By the end of this week, you should be familiarized with hypothesis testing. Part A - The average height of a college student in the United States is 69.21 inches. Use our average class height (midterm project) to make a claim about this statement. You are to include in this submission: (1) define the population characteristic of interest (X = ____) (2) the sentence I provided plus your claim. (3) include the given null hypothesis: Ho : μ = 69.21 (4) set up an alternative hypothesis (should align with the null I provided plus the claim you made about it)

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**Hypothesis Testing Exercise**

**Objective:** By the end of this week, you should be familiarized with hypothesis testing.

### Part A - The average height of a college student in the United States is 69.21 inches.
Use our average class height (midterm project) to make a claim about this statement.

**Instructions:**
You are to include in this submission:

1. **Define the population characteristic of interest (X = ____):**
   Define the specific variable you are examining. For example, \( X = \text{height in inches of a college student} \).

2. **Sentence Construction:**
   Use the sentence provided below and add your claim. 
   
   ```
   The average height of a college student in the United States is 69.21 inches. Based on our data, we claim that the average height [is/is not] 69.21 inches.
   ```

3. **Include the given null hypothesis:**
   \[
   H_0 : \mu = 69.21
   \]

4. **Set up an alternative hypothesis:**
   Align this with the null hypothesis provided and the claim you made about it. For example:
   - If you believe the average height is different, your alternative hypothesis might be \( H_A: \mu \neq 69.21 \).
   - If you believe the average height is greater, your alternative hypothesis might be \( H_A: \mu > 69.21 \).
   - If you believe the average height is less, your alternative hypothesis might be \( H_A: \mu < 69.21 \).

Submit your hypothesis testing exercise as per the instructions above.
Transcribed Image Text:**Hypothesis Testing Exercise** **Objective:** By the end of this week, you should be familiarized with hypothesis testing. ### Part A - The average height of a college student in the United States is 69.21 inches. Use our average class height (midterm project) to make a claim about this statement. **Instructions:** You are to include in this submission: 1. **Define the population characteristic of interest (X = ____):** Define the specific variable you are examining. For example, \( X = \text{height in inches of a college student} \). 2. **Sentence Construction:** Use the sentence provided below and add your claim. ``` The average height of a college student in the United States is 69.21 inches. Based on our data, we claim that the average height [is/is not] 69.21 inches. ``` 3. **Include the given null hypothesis:** \[ H_0 : \mu = 69.21 \] 4. **Set up an alternative hypothesis:** Align this with the null hypothesis provided and the claim you made about it. For example: - If you believe the average height is different, your alternative hypothesis might be \( H_A: \mu \neq 69.21 \). - If you believe the average height is greater, your alternative hypothesis might be \( H_A: \mu > 69.21 \). - If you believe the average height is less, your alternative hypothesis might be \( H_A: \mu < 69.21 \). Submit your hypothesis testing exercise as per the instructions above.
The image contains a sequence of numbers organized in a horizontal format. The numbers are as follows:

1, 59, 60, 60, 60, 61, 62, 62, 62, 63, 64, 64, 64, 64, 64, 64, 64, 65, 65, 66, 67, 67, 67, 67, 68, 68, 69, 69, 70, 70, 70, 70, 71, 72, 73

This sequence of numbers could represent a set of data, such as measurements, scores, or other quantitative information. 

For educational purposes, this sequence can be used to demonstrate statistical concepts such as frequency distribution, mean, median, mode, range, and more. Analyzing this data set can provide insights into patterns or trends within the data. 

Given the repeated values, one might infer that some numbers occur more frequently than others, making this sequence ideal for practice with histogram creation or frequency tables. Discussing and exploring this sequence can help students better understand how to organize and interpret data in mathematical and scientific contexts. 

If this data is related to a specific topic, such as test scores or experimental results, students can also explore how different data analysis methods provide varying insights depending on the chosen statistical approach.
Transcribed Image Text:The image contains a sequence of numbers organized in a horizontal format. The numbers are as follows: 1, 59, 60, 60, 60, 61, 62, 62, 62, 63, 64, 64, 64, 64, 64, 64, 64, 65, 65, 66, 67, 67, 67, 67, 68, 68, 69, 69, 70, 70, 70, 70, 71, 72, 73 This sequence of numbers could represent a set of data, such as measurements, scores, or other quantitative information. For educational purposes, this sequence can be used to demonstrate statistical concepts such as frequency distribution, mean, median, mode, range, and more. Analyzing this data set can provide insights into patterns or trends within the data. Given the repeated values, one might infer that some numbers occur more frequently than others, making this sequence ideal for practice with histogram creation or frequency tables. Discussing and exploring this sequence can help students better understand how to organize and interpret data in mathematical and scientific contexts. If this data is related to a specific topic, such as test scores or experimental results, students can also explore how different data analysis methods provide varying insights depending on the chosen statistical approach.
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