ests. Suppose you would like finding. From a random sample of 130 students on campus, you find that 70 said the number one thing they're looking for in a date or partner is common interests. Using a = 0.05, complete parts a and b. 1 institut ine daung sites say the thing they re lOki for in a date or parther operiorm a nypothesis test to chaimenge this a. Based on this sample, can we conclude that the proportion of students who said the number one thing they're looking for in a date or partner is common interests, is similar to the research institute survey? Determine the null and alternative hypotheses. Choose the correct answer below. O A. Ho: ps0.62 H:p>0.62 O B. Ho: p=0.62 H,:p#0.62 O D. Ho: p20.62 OC. Ho: p>0.62 H,:ps0.62 H:p<0.62

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A recent survey by the research institute showed that

62​%

of users of online dating sites say the number one thing​ they're looking for in a date or partner is common interests. Suppose you would like to perform a hypothesis test to challenge this finding. From a random sample of

130

students on​ campus, you find that

70

said the number one thing​ they're looking for in a date or partner is common interests. Using a​ =

0.05​,

complete parts a and b. 

**Educational Text for Hypothesis Testing**

---

**Context:**

A recent survey conducted by a research institute found that 62% of users of online dating sites state that the primary characteristic they seek in a date or partner is having common interests. Suppose you conduct a hypothesis test to verify this finding. In a random sample of 130 students on campus, 70 students reported that common interests are what they primarily look for in a date or partner. Using a significance level of α = 0.05, analyze parts a and b.

**Task a:**

Based on this sample, we need to determine whether the proportion of students who said the number one thing they're looking for in a date or partner is common interests is similar to the research institute's survey findings.

**Determine the Null and Alternative Hypotheses:**

Choose the correct formulation:

- **A.** \( H_0: p \geq 0.62 \)   
   \( H_1: p > 0.62 \)

- **B.** \( H_0: p = 0.62 \)  
   \( H_1: p \neq 0.62 \)

- **C.** \( H_0: p > 0.62 \)  
   \( H_1: p \le 0.62 \)

- **D.** \( H_0: p \ge 0.62 \)  
   \( H_1: p < 0.62 \)

**Explanation:**

The objective is to test whether the sample proportion differs significantly from 0.62 as per the original survey findings. The null hypothesis (\(H_0\)) represents the assumption that any deviation from the original survey result is due to random chance, while the alternative hypothesis (\(H_1\)) considers the possibility of a significant difference. Select the option that correctly sets up these hypotheses for the hypothesis test at the 5% significance level.

---

By analyzing these hypotheses, students can engage in understanding and applying statistical principles to real-world data, honing their skills on formulating and testing hypothesis in statistics.
Transcribed Image Text:**Educational Text for Hypothesis Testing** --- **Context:** A recent survey conducted by a research institute found that 62% of users of online dating sites state that the primary characteristic they seek in a date or partner is having common interests. Suppose you conduct a hypothesis test to verify this finding. In a random sample of 130 students on campus, 70 students reported that common interests are what they primarily look for in a date or partner. Using a significance level of α = 0.05, analyze parts a and b. **Task a:** Based on this sample, we need to determine whether the proportion of students who said the number one thing they're looking for in a date or partner is common interests is similar to the research institute's survey findings. **Determine the Null and Alternative Hypotheses:** Choose the correct formulation: - **A.** \( H_0: p \geq 0.62 \) \( H_1: p > 0.62 \) - **B.** \( H_0: p = 0.62 \) \( H_1: p \neq 0.62 \) - **C.** \( H_0: p > 0.62 \) \( H_1: p \le 0.62 \) - **D.** \( H_0: p \ge 0.62 \) \( H_1: p < 0.62 \) **Explanation:** The objective is to test whether the sample proportion differs significantly from 0.62 as per the original survey findings. The null hypothesis (\(H_0\)) represents the assumption that any deviation from the original survey result is due to random chance, while the alternative hypothesis (\(H_1\)) considers the possibility of a significant difference. Select the option that correctly sets up these hypotheses for the hypothesis test at the 5% significance level. --- By analyzing these hypotheses, students can engage in understanding and applying statistical principles to real-world data, honing their skills on formulating and testing hypothesis in statistics.
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