Use technology to help you test the claim about the population mean, p, at the given level of significance, a, using the given sample statistics. Assume the population is normally distributed. Claim: u> 1280; a = 0.07; o = 196.31. Sample statistics: x= 1308.11, n 200 H: u> 1280 Hµ<1308.11 O D. Ho: us1308.11 OC. Ho: u> 1308.11 H us 1308.11 H p> 1308.11 O E. Ho: u> 1280 ΟΕ Hρ μ2 1280 H3: us 1280 Hu< 1280 Calculate the standardized test statistic. The standardized test statistic is 2,03 (Round to two decimal places as needed.) Determine the P-value. P= (Round to three decimal places as needed.)
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
![**Testing a Claim About the Population Mean**
*Objective:* Use technology to test the claim about the population mean, \( \mu \), at the given level of significance, \( \alpha \), using the given sample statistics. Assume the population is normally distributed.
**Given:**
- Claim: \( \mu > 1280 \)
- Significance level: \( \alpha = 0.07 \)
- Population standard deviation: \( \sigma = 196.31 \)
- Sample statistics:
- Sample mean (\( \bar{x} \)) = 1308.11
- Sample size (\( n \)) = 200
**Hypotheses:**
Choose the correct set of hypotheses from the options:
- **Option C:**
- Null Hypothesis (\( H_0 \)): \( \mu = 1308.11 \)
- Alternative Hypothesis (\( H_a \)): \( \mu > 1308.11 \)
- **Option E:**
- Null Hypothesis (\( H_0 \)): \( \mu \geq 1280 \)
- Alternative Hypothesis (\( H_a \)): \( \mu < 1280 \)
- **Option D:**
- Null Hypothesis (\( H_0 \)): \( \mu \leq 1308.11 \)
- Alternative Hypothesis (\( H_a \)): \( \mu > 1308.11 \)
- **Option F:**
- Null Hypothesis (\( H_0 \)): \( \mu \geq 1280 \)
- Alternative Hypothesis (\( H_a \)): \( \mu < 1280 \)
**Calculations:**
1. **Calculate the Standardized Test Statistic:**
\[
\text{Standardized test statistic} = 2.03
\]
(Round to two decimal places as needed.)
2. **Determine the P-Value:**
\[
P = \underline{\quad}
\]
(Round to three decimal places as needed.)
**Conclusion:**
The interpretation of the P-value and standardized test statistic will indicate whether there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis, based on the claim provided.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6e94605b-9c56-48d8-8e6e-69b162baa2a2%2Fb7ba4d11-a63a-4088-962b-c5161f35dbd4%2Fd3z3qpg_processed.jpeg&w=3840&q=75)
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