3. A researcher wants to count the number of apps people have downloaded on their phones. Here is the data from four cities: San Francisco 48 37 57 42 31 44 45 53 58 41 Los Angeles 25 32 30 25 50 37 25 42 30 33 Chicago 14 35 29 25 23 27 40 32 55 New York 30 22 40 50 30 45 32 35 42 20 Can we say there is significant difference in the number of downloaded apps amongst people in these cities? (Use a = .10) Type of Test: Null Hypothesis: 20

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Chapter10: Statistics
Section10.6: Summarizing Categorical Data
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**Analyzing the Number of Downloaded Apps in Major U.S. Cities**

A researcher aims to analyze the number of apps downloaded by people on their phones across different major cities in the United States. Below is the data collected from four key cities:

- **San Francisco**: 48, 37, 57, 42, 31, 44, 45, 53, 58, 41
- **Los Angeles**: 25, 32, 30, 25, 50, 37, 25, 42, 30, 33
- **Chicago**: 14, 35, 29, 25, 23, 27, 40, 20, 32, 55
- **New York**: 30, 22, 40, 50, 30, 45, 32, 35, 42, 20

**Research Question:**
Can we determine if there is a significant difference in the number of apps downloaded by people across these cities? (Assume a significance level of α = 0.10)

**Hypothesis Testing:**

- **Type of Test:** [Specify the test used, e.g., ANOVA, t-test, etc.]
- **Null Hypothesis:** [Formulate the null hypothesis, usually stating that there is no significant difference in the number of apps downloaded across the cities.]
- **Alternate Hypothesis:** [Formulate the alternative hypothesis, typically indicating that there is a significant difference.]
- **SE (Standard Error):** [Provide the standard error used in the calculations, if applicable.]
- **Test Statistic:** [Specify the calculated test statistic value.]
- **P-value:** [Include the p-value indicating the probability of observing the test results under the null hypothesis.]
- **Decision:** [State whether to reject or not reject the null hypothesis based on the p-value and significance level.]

**Conclusion:**
- **Sentence:** [Conclude whether there is a significant difference in the number of downloaded apps among the people in these cities, based on the hypothesis test results.]

By conducting this analysis, we can gain insights into the variations in app usage patterns among residents in different urban areas.
Transcribed Image Text:**Analyzing the Number of Downloaded Apps in Major U.S. Cities** A researcher aims to analyze the number of apps downloaded by people on their phones across different major cities in the United States. Below is the data collected from four key cities: - **San Francisco**: 48, 37, 57, 42, 31, 44, 45, 53, 58, 41 - **Los Angeles**: 25, 32, 30, 25, 50, 37, 25, 42, 30, 33 - **Chicago**: 14, 35, 29, 25, 23, 27, 40, 20, 32, 55 - **New York**: 30, 22, 40, 50, 30, 45, 32, 35, 42, 20 **Research Question:** Can we determine if there is a significant difference in the number of apps downloaded by people across these cities? (Assume a significance level of α = 0.10) **Hypothesis Testing:** - **Type of Test:** [Specify the test used, e.g., ANOVA, t-test, etc.] - **Null Hypothesis:** [Formulate the null hypothesis, usually stating that there is no significant difference in the number of apps downloaded across the cities.] - **Alternate Hypothesis:** [Formulate the alternative hypothesis, typically indicating that there is a significant difference.] - **SE (Standard Error):** [Provide the standard error used in the calculations, if applicable.] - **Test Statistic:** [Specify the calculated test statistic value.] - **P-value:** [Include the p-value indicating the probability of observing the test results under the null hypothesis.] - **Decision:** [State whether to reject or not reject the null hypothesis based on the p-value and significance level.] **Conclusion:** - **Sentence:** [Conclude whether there is a significant difference in the number of downloaded apps among the people in these cities, based on the hypothesis test results.] By conducting this analysis, we can gain insights into the variations in app usage patterns among residents in different urban areas.
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