The US energy information administration claim that United States residential customers use an average of 10951 kW hours of electricity this year. A local power company believes that residents in their area use more electricity on average then EIA's reported average. To test their claim the company chooses a random sample of a 184 of their customers and calculate that these customers use an average of 11162 kW hours of electricity last year. Assuming that the population standard deviation is 1263 kWh,is there sufficient evidence to support the power company's claim at the 0.05 level of significance? Draw a conclusion and interpret the decision. A. We fail to reject the noble hypothesis and conclude that there is insufficient evidence at 0.05 level of significance to support the power company's claim that the mean amount of electricity to their residents is more than a national average. B. We fail to reject the null hypothesis and conclude that there are sufficient evidence at 0.05 level of significance to support the power company's claim that the mean amount of electricity for their residents is more than the national average. C. We reject the null hypothesis and conclude that there is sufficient evidence at a 0.05 level of significance to support the power company's claim that the mean amount of electricity for the residents is more than the national average. D. We reject the knoll hypothesis and conclude that there is insufficient evidence at a 0.05 level of significance to support the power company's claim that the mean amount of electricity for their residents is more than the national average

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 13PPS

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The US energy information administration claim that United States residential customers use an average of 10951 kW hours of electricity this year. A local power company believes that residents in their area use more electricity on average then EIA's reported average. To test their claim the company chooses a random sample of a 184 of their customers and calculate that these customers use an average of 11162 kW hours of electricity last year. Assuming that the population standard deviation is 1263 kWh,is there sufficient evidence to support the power company's claim at the 0.05 level of significance? Draw a conclusion and interpret the decision. A. We fail to reject the noble hypothesis and conclude that there is insufficient evidence at 0.05 level of significance to support the power company's claim that the mean amount of electricity to their residents is more than a national average. B. We fail to reject the null hypothesis and conclude that there are sufficient evidence at 0.05 level of significance to support the power company's claim that the mean amount of electricity for their residents is more than the national average. C. We reject the null hypothesis and conclude that there is sufficient evidence at a 0.05 level of significance to support the power company's claim that the mean amount of electricity for the residents is more than the national average. D. We reject the knoll hypothesis and conclude that there is insufficient evidence at a 0.05 level of significance to support the power company's claim that the mean amount of electricity for their residents is more than the national average

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