For a population comprising 30% males, what is the probabilility of drawing a random sample

For a population comprising 30% males, what is the probabilility of drawing a random sample of 313 and getting exactly 94 males? Hint: use the binomial distribution.

If the variable "Age" were uniformly distributed over the range measured in the sample, the mean would be:

Assume that Pay follows a normal distribution with the parameters measured by the sample. Using this information, what proportion of the population earns more than $45000?

Assume that Pay follows a normal distribution with the parameters measured by the sample. Using this information, what proportion of the population earns between $45000 and $55000?

The lower bound of the 95% confidence interval for the mean of the variable "Pay" is:

The upper limit of the 90% confidence interval for the proportion of males in the sample is:

In order test whether the mean Tenure is more than 5 years, the hypotheses should be set up as follows:

For the equivalent group of employees at Ellion, the mean gross annual remuneration is $51500 with a standard deviation of $7000. At a 1% significance level, testing the hypothesis that the results from the BizProsammmple are the same results in the following decision:

When testing the hypothess that the proportion of males in the sample is 35% at a 1% significance level, the decision is: