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

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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.

4.9%

30.0%

46.7%

50.0%

53.3%

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

26

37

38.5

45

71

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?

20.9%

22.7%

77.3%

78.1%

87.6%

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?

20.9%

48.6%

52.4%

73.3%

Cannot be calculated

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

$49632

$49878

$50004

$51307

$51432

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

35.1%

34.3%

25.8%

25.0%

23.4%

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

H0: µ≥5 and HA: µ≤5

H0: µ≠5 and HA: µ

H0: µ and HA: µ≠5

H0: µ≥5 and HA: µ<5

H0: µ≤5 and HA: µ>5

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 BizPro sammmple are the same results in the following decision:

Reject H0

Reject HA

Accept H0

Do not reject H0

Do not reject HA

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

Accept the null hypothesis

Reject the null hypothesis

Do not reject the null hypothesis

Do not reject the alternative hypothesis

Reject the alternative hypothesis