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The null hypothesis states that there is no difference between a proportion and the proportion of the population.

The alternative hypothesis is a population assertion that contradicts itself.

The mean number of years Americans work before retiring is either$34$ or not indicating a not equals sign in the Alternative Hypothesis.

Since at most $60\%$Americans vote in presidential elections indicating that the alternate hypothesis bears a greater than sign.

Since the mean starting salary for San Jose State University graduates is at least $100,000$per year indicating that the alternate hypothesis bears a less than sign.

Since twenty-nine percent of high school seniors get drunk each month it indicates that the alternate hypothesis bears a not-equals sign.

Since fewer than of adults ride the bus to work in Los Angeles indicating that the alternate hypothesis bears a less-than sign.

Since the mean number of cars a person owns in her lifetime is not more than ten a two-tailed test will be done to reject or accept the null hypothesis.

Since about half of Americans prefer to live away from cities, given the choice a two-tailed test will be done to reject or accept the null hypothesis.$H0:\mathrm{μ}=6;Ha:\mathrm{μ}≠6$

Since Europeans have a mean paid vacation each year of six weeks a two-tailed test will be done to reject or accept the null hypothesis. $H0:pâ‰\yen 0.11;Ha:p<0.11$

Since the chance of developing breast cancer is under $11\%$for women indicating that the alternate hypothesis bears a less-than sign. localid="1650385809736" $H0:\mathrm{μ}≤20,000;Ha:\mathrm{μ}>20,000$

Since private universities' mean tuition cost is more than $\$20,000$per year indicating that the alternate hypothesis bears a greater than sign.