According to the document Consumer Expenditures, a publication of the Bureau of Labor Statistics, the average consumer spent $1736 on apparel and services in the last year. A researcher believes that consumers in the Northeast spent more on average. The researcher sampled 25 consumers in the Northeast and recorded the amount they spent on apparel and services in the last year. The data is listed below: 1279 1457 2020 1682 1273 2223 2233 2192 1611 1734 2688 2029 2166 1860 2444 1844 1765 2267 1522 2012 1990 1751 2113 2202 1712 At the 0.05 level of significance, does the data provide evidence to suggest that consumers in the Northeast spend more on average than the national average reported in the Bureau of Labor Statistics? What is the correct conclusion for this test?
According to the document Consumer Expenditures, a publication of the Bureau of Labor Statistics, the average consumer spent $1736 on apparel and services in the last year. A researcher believes that consumers in the Northeast spent more on average. The researcher sampled 25 consumers in the Northeast and recorded the amount they spent on apparel and services in the last year. The data is listed below:
1279 | 1457 | 2020 | 1682 | 1273 |
2223 | 2233 | 2192 | 1611 | 1734 |
2688 | 2029 | 2166 | 1860 | 2444 |
1844 | 1765 | 2267 | 1522 | 2012 |
1990 | 1751 | 2113 | 2202 | 1712 |
At the 0.05 level of significance, does the data provide evidence to suggest that consumers in the Northeast spend more on average than the national average reported in the Bureau of Labor Statistics?
What is the correct conclusion for this test?
Question 9 options:
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Fail to reject the null hypothesis because the p-value is less than the level of significance. |
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Fail to reject the null hypothesis because the p-value is greater than the level of significance. |
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Reject the null hypothesis because the p-value is less than the level of significance. |
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Reject the null because the p-value is greater than the level of significance. |
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