Question

In a study of monthly salary distribution of residents in Paris conducted in year 2015, it was found that the salaries had an average of €2200 (EURO) and a standard deviation of €550. Assume that the salaries were normally distributed.

Question 1: Consider sampling with sample size 64 on the above population. Compute the mean of the sampling distribution of the mean (?̅).

Question 2: Compute the standard deviation of the sampling distribution of the mean in Question 1 above.

Question 3: A random sample of 64 salaries (sample 1) was selected from the above population. What is the probability that the average of the selected salaries is above €2330?

Question 4: Would the calculation you performed in Question 3 still be valid if the monthly salaries were NOT normally distributed? Why?

In another study conducted in the same year (2015), the average monthly salary of residents in Bordeaux was found to be about €2353. And the standard deviation of the monthly salaries was €420. A random sample of 81 salaries (sample 2) was selected from this population.

Set 1 = Paris (2015); 2 = Bordeaux (2015)

Question 5: Compute the mean of ?̅ 1 − ?̅ 2.

Question 6: Compute the standard deviation of ?̅ 1 − ?̅ 2.

Question 7: What is the probability that the average of the salaries in the sample 1 is less than the average of the salaries in sample 2?

In 2017, a study on the salary distribution of Paris residents was conducted. Assume that the salaries were normally distributed. A random sample of 10 salaries was selected and the data are listed below: 3200 3500 3000 2100 2950 2050 2440 3100 3500 2500

Question 8: Assume that the standard deviation of the salaries was still the same as in 2015. Estimate the average salary (in 2017) with 95% confidence.

Question 9: The assumption made in Question 8 was certainly unrealistic. Estimate the average salary (in 2017) with 95% confidence again assuming that the standard deviation had changed from 2015.

Question 10: Estimate the variance of monthly salaries of Paris residents (in 2017) based on the sample provided above at a 95% confidence level.

Question 11: How would you interpret the result in Question 10 above?

A similar study was conducted on salary distribution of Paris residents in 2019. The research team aimed to estimate the average salary. They chose the 98% confidence and assumed that the population standard deviation was the same as in 2015. Assume again that those salaries were normally distributed.

Question 12: If they would like the (margin of) error to be no more than €60, how large a sample would they need to select?

Answer #1

Que.1

Mean of

Que.2

Standard devition of =

Que.3

Que.4

Calculations performed in que.3 are valid even though monthly salaries were not normally distributed. This is according t central limit theorem, which says that distribution of sample mean always follows normal distribution regardless of its parent population but sample size need to be sufficiently large.

Here sample size is 64 which is sufficiently large.

In a study of monthly salary distribution of residents in Paris
conducted in year 2015, it was found that the salaries had an
average of €2200 (EURO) and a standard deviation of €550.
One years later (in 2016), it was suspected that the average
salary had increased. A hypothesis test was conducted at a
significance level of 5% to test the suspicion. A random sample of
size 64 was chosen with mean of €2385 and standard deviation of
€650.
Question...

(d) A similar study was conducted on salary distribution of
Paris residents in 2019. The research team aimed to estimate the
average salary. They chose the 98% confidence and assumed that the
population standard deviation was the same as in 2015 (68.75).
Assume again that those salaries were normally distributed.
If they would like the (margin of) error to be no more than €60,
how large a sample would they need to select?

In a study of monthly salary distribution of residents in Paris
conducted in year 2015, it was found that the salaries had an
average of €2200 (EURO) and a standard deviation of €550. One years
later (in 2016), it was suspected that the average salary had
increased. A hypothesis test was conducted at a significance level
of 5% to test the suspicion. A random sample of size 64 was chosen
with mean of €2385 and standard deviation of €650.
Question...

A similar study was conducted on salary distribution of Paris
residents in 2019. The research team aimed to estimate the average
salary. They chose the 98% confidence and assumed that the
population standard deviation was the same as in 2015. Assume again
that those salaries were normally distributed. If they would like
the (margin of) error to be no more than €60, how large a sample
would they need to select? (That is, find the minimum sample
size.)
Select one:...

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