A researcher performs a hypothesis test at the 0.05 level of significance. The null hypothesis is p = 0.85and the alternative hypothesis is p is not equal to 0.85. The reaearcher calculates the sample proportion to be 0.88 and the test statistic to be z* = 2.59 and the p-value to be 0.0096. Based on these results, the researcher correctly decides to reject the null hypothesis. Which statement correctly interprets the results of this hypothesis test.
A) The researcher has proven that the population proportion is 0.85.
B) The researcher has proven that the population proportion is different from 0.85.
C) Evidence suggests that the population proportion is 0.85.
D) Evidence suggests that the population proportion is different from 0.85