In a Leichtman Research Group survey of 850 TV households, 75.1% of them had at least one Internet-connected TV device (for example, Smart TV, standalone streaming device, connected video game console). A marketing executive wants to convey high penetration of Internet-connected TV devices, so he makes the claim that the percentage of all homes with at least one Internet-connected TV device is equal to 78%. Test that claim using a 0.01 significance level. Use the P-value method. Use the normal distribution as an approximation to the binomial distribution. Let p denote the population proportion of all homes with at least one Internet-connected TV device. Identify the null and alternative hypotheses. Ho: P H₁: p ▼ (Type integers or decimals. Do not round.) Identify the test statistic. Z= (Round to two decimal places as needed.) Identify the P-value. P-value= (Round to three decimal places as needed.) State the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. sufficient evidence to the null hypothesis. There one Internet-connected TV device is equal to 78%. the claim that the percentage of all homes with at least

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### Hypothesis Testing for Proportion of Internet-Connected TV Devices

In a Leichtman Research Group survey of 850 TV households, 75.1% had at least one Internet-connected TV device (e.g., Smart TV, standalone streaming device, connected video game console). A marketing executive claims the percentage of all homes with at least one Internet-connected TV device is 78%. This claim is tested using a 0.01 significance level. The normal distribution is used as an approximation to the binomial distribution, and the P-value method is applied.

---

**Steps for Hypothesis Testing**

#### Step 1: Define Hypotheses
- Let \( p \) denote the population proportion of homes with at least one Internet-connected TV device.
- **Null Hypothesis (\( H_0 \))**: \( p = 0.78 \)
- **Alternative Hypothesis (\( H_1 \))**: \( p \neq 0.78 \)

#### Step 2: Identify the Test Statistic
- Calculate the test statistic: \( z \)
  \[
  \text{(Round to two decimal places as needed.)}
  \]

#### Step 3: Calculate the P-value
- Determine the P-value associated with the test statistic.
  \[
  \text{(Round to three decimal places as needed.)}
  \]

#### Step 4: Conclusion
- State the conclusion regarding the null hypothesis:
  \[
  \text{[Reject/Fail to reject]} \quad \text{the null hypothesis.}
  \]
  - There is [sufficient/insufficient] evidence to [support/refute] the claim that the percentage of all homes with at least one Internet-connected TV device is equal to 78%.

### Notes
- When evaluating the claim, a significant difference from 78% would lead to the rejection of the null hypothesis at a 0.01 significance level, indicating sufficient evidence against the claim.

This educational content guides through the process of hypothesis testing for proportions using survey data about Internet-connected TV devices.
Transcribed Image Text:### Hypothesis Testing for Proportion of Internet-Connected TV Devices In a Leichtman Research Group survey of 850 TV households, 75.1% had at least one Internet-connected TV device (e.g., Smart TV, standalone streaming device, connected video game console). A marketing executive claims the percentage of all homes with at least one Internet-connected TV device is 78%. This claim is tested using a 0.01 significance level. The normal distribution is used as an approximation to the binomial distribution, and the P-value method is applied. --- **Steps for Hypothesis Testing** #### Step 1: Define Hypotheses - Let \( p \) denote the population proportion of homes with at least one Internet-connected TV device. - **Null Hypothesis (\( H_0 \))**: \( p = 0.78 \) - **Alternative Hypothesis (\( H_1 \))**: \( p \neq 0.78 \) #### Step 2: Identify the Test Statistic - Calculate the test statistic: \( z \) \[ \text{(Round to two decimal places as needed.)} \] #### Step 3: Calculate the P-value - Determine the P-value associated with the test statistic. \[ \text{(Round to three decimal places as needed.)} \] #### Step 4: Conclusion - State the conclusion regarding the null hypothesis: \[ \text{[Reject/Fail to reject]} \quad \text{the null hypothesis.} \] - There is [sufficient/insufficient] evidence to [support/refute] the claim that the percentage of all homes with at least one Internet-connected TV device is equal to 78%. ### Notes - When evaluating the claim, a significant difference from 78% would lead to the rejection of the null hypothesis at a 0.01 significance level, indicating sufficient evidence against the claim. This educational content guides through the process of hypothesis testing for proportions using survey data about Internet-connected TV devices.
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