Refer to the descriptions of these sampling methods in the lecture if needed. 1. Simple Random...

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Refer to the descriptions of these sampling methods in the lecture if needed. 1. Simple Random Sample Choose a way to count the restaurants. (One way is to go down the first column and continue at the top of the second column, etc.) Use a random number generator to pick 15 restaurants. List the names of the 15 selected restaurants. 2. Systematic Sample Use a random number generator to pick a starting restaurant. Then systematically pick 15 more restaurants. List the names of the 16 selected restaurants. 3. Stratified Sample by Price Randomly pick 20 restaurants with equal representation from each price stratum. To do this, randomly pick the same number from each price group. List the names of the 20 selected restaurants. 4. Stratified Sample by Neighborhood Randomly pick 21 restaurants with equal representation from each neighborhood stratum. How many neighborhoods are there? So how many restaurants will be chosen from each? Also, change the way the restaurants are counted in order to randomly select from each neighborhood. List the names of the 21 selected restaurants. 5. Cluster Sample Randomly pick two of the neighborhoods to be clusters. List the names of all restaurants in these two clusters. The number of restaurants will vary for this method. Refer to the descriptions of these sampling methods in the lecture if needed. 1. Simple Random Sample Choose a way to count the restaurants. (One way is to go down the first column and continue at the top of the second column, etc.) Use a random number generator to pick 15 restaurants. List the names of the 15 selected restaurants. 2. Systematic Sample Use a random number generator to pick a starting restaurant. Then systematically pick 15 more restaurants. List the names of the 16 selected restaurants. 3. Stratified Sample by Price Randomly pick 20 restaurants with equal representation from each price stratum. To do this, randomly pick the same number from each price group. List the names of the 20 selected restaurants. 4. Stratified Sample by Neighborhood Randomly pick 21 restaurants with equal representation from each neighborhood stratum. How many neighborhoods are there? So how many restaurants will be chosen from each? Also, change the way the restaurants are counted in order to randomly select from each neighborhood. List the names of the 21 selected restaurants. 5. Cluster Sample Randomly pick two of the neighborhoods to be clusters. List the names of all restaurants in these two clusters. The number of restaurants will vary for this method.