Math Problem Statement

A random sample of 10 observations was drawn from a large normally distributed population. The data set is below. Test to determine if we can infer at the 3% significance level that the population mean is not equal to 22, filling in the requested information below. 

Hint: You can enter the data into list L1 on your calculator using Stat -> Edit, and then do a t-test with Inpt: Data to use the data you entered in the list. (Freq, the frequency of each data point, should be 1.)A. The p-value is B. Your decision for the hypothesis test: 

 A. Do Not Reject .  B. Reject .  C. Reject .  D. Do Not Reject .

Solution

In order to perform the hypothesis test, we need the dataset of 10 observations, which you've mentioned but did not provide. Could you please share the 10 observations so that I can assist you with the calculation?

However, I can guide you through the general steps to conduct the hypothesis test:

1. Formulate Hypotheses:

  • Null Hypothesis (H₀): The population mean is equal to 22. (µ = 22)
  • Alternative Hypothesis (H₁): The population mean is not equal to 22. (µ ≠ 22)

2. Set the Significance Level:

  • The significance level (α) is given as 3% (0.03).

3. Perform the t-Test:

  • Since the population standard deviation is unknown and the sample size is small (n = 10), we will use a t-test for a single sample.
  • Using your calculator or software, enter the data points into L1, then perform a t-test:
    • Test Type: Two-Sample t-Test (since the alternative hypothesis is not equal to 22).
    • Input: Data (select the data from L1).
    • You will then receive a t-statistic, degrees of freedom (df), and a p-value.

4. Decision Rule:

  • If the p-value ≤ 0.03, reject the null hypothesis (H₀).
  • If the p-value > 0.03, do not reject the null hypothesis.

Once you provide the data, I can walk through the calculations and provide the correct answer for the p-value and the decision on whether to reject or fail to reject the null hypothesis.

Feel free to upload the dataset or provide the data points directly!

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Math Problem Analysis

Mathematical Concepts

Hypothesis Testing
T-test
Significance Levels

Formulas

t-statistic formula: t = (x̄ - μ) / (s / √n)
Degrees of freedom: df = n - 1

Theorems

Student's t-distribution
Hypothesis testing procedure

Suitable Grade Level

Grades 11-12