A marker happens to know that his population

A marker happens to know that his population comprises of the following breakdown in terms of preference: 43% of his market lives within the north, 21% of his market lives within the west, 6% of his market lives within the east, and 30% of his market lives within the south. He would like to take a sample of his market to better understand their purchase behaviors. He decides the size of his sample should be 200 individuals. If he seeks to have his sample representative, then:

1- How many respondents within his sample should reside in the south?

30

60

120

None of the above

2- How many respondents within his sample should reside in the north?

43

86

129

None of the above

3-The average number of customers per day which walk into a retail store is 7.43. The manager of the store knows this information from a computer read out and decides to take a sample. She finds that the average number of customers per day is 5.43. With this information, the manager can conclude:

There is bias in her sampling method.

There is error in her sampling method.

She cannot make a conclusion.

None of the above.

4- Which command in R will produce a sample of 100 values which is normally distributed with mean 0 and standard deviation of 3?
1. sample(0:3,100,)
2. rnorm(100, 0,3)

3. rnorm(0,100,3)
4. None of the above

5- A marketer wants to better understand his target market. He takes a sample of 100 consumers by posting fliers around a local town and asking them to go to a website to fill out a survey. The type of sampling method he has undertaken is considered to be:
1. A convenience sample

2. A voluntary response sample 3. A simple random sample
4. None of the above

6- A manager at a large company would like to better understand how well teams work in project performance rather than focusing on individual contribution. The manager decides to take a simple random sample of 50 employees. The manager gains access to the company employee database which has all the information on every employee. The databases currently reports thatthere are 1532 employees. Which command in R will give a simple random sample of 50 employees from this list?

1. rnorm(50,0,1532)
2. sample(1:1532,50,)

3. sample(1:1532,50,)

4. None of the above