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The Moisture in a Wet Mix of Cement Was Considered

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The moisture in a wet mix of cement was considered to have an effect on the denseness of the finished product.The moisture of the mix was controlled at various levels,and the denseness of the finished product was measured.The data were entered into SPSS,and the following output was generated. The moisture in a wet mix of cement was considered to have an effect on the denseness of the finished product.The moisture of the mix was controlled at various levels,and the denseness of the finished product was measured.The data were entered into SPSS,and the following output was generated. Suppose we wish to test if denseness increases with the moisture in the cement mix: H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = 0 versus H<sub>a</sub>: <font face= symbol ></font><sub>1</sub>> 0.Do we reject the null hypothesis at the 1% significance level?Include the value of the t statistic and the corresponding P-value in your answer. The moisture in a wet mix of cement was considered to have an effect on the denseness of the finished product.The moisture of the mix was controlled at various levels,and the denseness of the finished product was measured.The data were entered into SPSS,and the following output was generated. Suppose we wish to test if denseness increases with the moisture in the cement mix: H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = 0 versus H<sub>a</sub>: <font face= symbol ></font><sub>1</sub>> 0.Do we reject the null hypothesis at the 1% significance level?Include the value of the t statistic and the corresponding P-value in your answer. The moisture in a wet mix of cement was considered to have an effect on the denseness of the finished product.The moisture of the mix was controlled at various levels,and the denseness of the finished product was measured.The data were entered into SPSS,and the following output was generated. Suppose we wish to test if denseness increases with the moisture in the cement mix: H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = 0 versus H<sub>a</sub>: <font face= symbol ></font><sub>1</sub>> 0.Do we reject the null hypothesis at the 1% significance level?Include the value of the t statistic and the corresponding P-value in your answer. The moisture in a wet mix of cement was considered to have an effect on the denseness of the finished product.The moisture of the mix was controlled at various levels,and the denseness of the finished product was measured.The data were entered into SPSS,and the following output was generated. Suppose we wish to test if denseness increases with the moisture in the cement mix: H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = 0 versus H<sub>a</sub>: <font face= symbol ></font><sub>1</sub>> 0.Do we reject the null hypothesis at the 1% significance level?Include the value of the t statistic and the corresponding P-value in your answer. The moisture in a wet mix of cement was considered to have an effect on the denseness of the finished product.The moisture of the mix was controlled at various levels,and the denseness of the finished product was measured.The data were entered into SPSS,and the following output was generated. Suppose we wish to test if denseness increases with the moisture in the cement mix: H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = 0 versus H<sub>a</sub>: <font face= symbol ></font><sub>1</sub>> 0.Do we reject the null hypothesis at the 1% significance level?Include the value of the t statistic and the corresponding P-value in your answer. Suppose we wish to test if denseness increases with the moisture in the cement mix: H0: 1 = 0 versus Ha: 1> 0.Do we reject the null hypothesis at the 1% significance level?Include the value of the t statistic and the corresponding P-value in your answer.

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