Is the average age of government supporters in the low anchor group statistically significantly different from the average age of opposition supporters in the low anchor group? Present the hypothesis test either by carrying it out step-by-step or by relying on a built in function for mean differences. Use anlevel of 0.05. Do conclusions change if you use anlevel of 0.01? Please use two-sided tests.

*To answer the question please help interpret the data below:

mean(opposition_low$age) =55.47399 ,

mean(supporters_low$age)54.2342

Welch Two Sample t-test data:opposition_low$age and supporters_low$age t = 0.69181, df = 381.25, p-value = 0.4895 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval:-2.2838214.763396 sample estimates: mean of x mean of y55.4739954.23420 > t.test(opposition_low$age, supporters_low$age, conf.level = 0.99)

Welch Two Sample t-test data:opposition_low$age and supporters_low$age t = 0.69181, df = 381.25, p-value = 0.4895 alternative hypothesis: true difference in means is not equal to 0 99 percent confidence interval:-3.3995385.879113 sample estimates: mean of x mean of y55.4739954.23420