To find the p-value for this test, you would need to use a t-distribution table or a statistical software that can calculate p-values. Here are the steps:

1. Identify the degrees of freedom (df). In a t-test, the degrees of freedom is typically the sample size minus 1. So in this case, df = 35 - 1 = 34.

2. Look up the absolute value of your t-score in the t-distribution table under the appropriate degrees of freedom. In this case, you would look up 2.032 under df = 34. If you're using statistical software, you would input these values into the software.

3. The value you find in the table or get from the software is the one-tailed p-value. Because this is a two-tailed test, you need to double this value to get the two-tailed p-value.

Please note that without a t-distribution table or statistical software, I can't provide the exact p-value for this test.

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To find the p-value for this test, you would need to use a t-distribution table or a statistical software that can calculate p-values. Here are the steps:

1. Identify the degrees of freedom (df). In a t-test, the degrees of freedom is typically the sample size minus 1. So in this case, df = 35 - 1 = 34.

2. Look up the absolute value of your t-score in the t-distribution table under the appropriate degrees of freedom. In this case, you would look up 2.032 under df = 34. If you're using statistical software, you would input these values into the software.

3. The value you find in the table or get from the software is the one-tailed p-value. Because this is a two-tailed test, you need to double this value to get the two-tailed p-value.

Please note that without a t-distribution table or statistical software, I can't provide the exact p-value for this test.

Knowee AI · Accepted Answer

To find the p-value for this test, you would need to use a t-distribution table or a statistical software that can calculate p-values. Here are the steps:

1. Identify the degrees of freedom (df). In a t-test, the degrees of freedom is typically the sample size minus 1. So in this case, df = 35 - 1 = 34.

2. Look up the absolute value of your t-score in the t-distribution table under the appropriate degrees of freedom. In this case, you would look up 2.032 under df = 34. If you're using statistical software, you would input these values into the software.

3. The value you find in the table or get from the software is the one-tailed p-value. Because this is a two-tailed test, you need to double this value to get the two-tailed p-value.

Please note that without a t-distribution table or statistical software, I can't provide the exact p-value for this test.

In a two-tailed hypothesis test situation, the test statistic is determined to be t = -2.032. The sample size is 35. The p-value for this test is

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