#1-2.9 Directions:Locate the data set “Drinks.sav” and open it with SPSS. Follow the steps in section 2.11 Learning Activity as written. Answer questions 1-3 in the activity based on your observations of the SPSS output.

1.Create standardized scores for all scale variables (price through alcohol). Which beverages have positive standardized scores on every variable? Reduced Calories What does this mean?

2. What is the most extreme z-score on each variable? The most extreme score on each variable would be the mean. What is the most extreme z-score

across all variables?

3. What beverage is most typical of all beverages, that is, has z-score values closest to 0 for these variables?

#2–3.9 Directions: Run the Frequencies procedure on the following variables: sex, wrkstat (Labor Force Status), paeduc (Father’s highest degree), and satjob (Job or Housework).

1. What is the scale of measurement for each?

2. For which of these variables is it appropriate to use the median?

3. What percent of respondents have a bachelor’s degree, or higher? 9.2% of the respondents have a bachelor’s degree and 5.5% have a graduate degree or higher. What percent of respondents are working?

4. How might you combine some of the categories of wrkstat to insure that there are a sufficient number of respondents in each category?

#3-4.18 Directions: Locate the data set “Drinks.sav” and open it with SPSS. Follow the steps in section 4.18 Learning Activity as written. Answer questions 1-6 in the activity based on your observations of the SPSS output.Type your answers into a Word document.

1.Run Frequencies on the variable alcohol, requesting the summary statistics median and mean, plus a histogram with a superimposed normal curve. Suppress the display of the frequency table.

2. What is the value of value of alcohol that splits the distribution in half? Is the median the same as the mean? Which value is lower? What does that tell you about the shape of the distribution of alcohol?

3. Does the histogram verify your description of the distribution of alcohol? How does it differ from a normal distribution?

4. Run Descriptives to obtain default statistics for price and calories. On which variable is there more dispersion?

Is it even realistic to compare these two variables since they are on different scales?

5. Continuing your analysis of price and calories, run the Explore procedure for these two variables. Request a histogram in addition to the defaults.

6. Does the standard error of each variable help you better determine which variable has more dispersion?

#1-2.9 Directions:Locate the data set “Drinks.sav” and open it with SPSS. Follow the steps in section 2.11 Learning Activity as written. Answer questions 1-3 in the activity based on your observations of the SPSS output.

1.Create standardized scores for all scale variables (price through alcohol). Which beverages have positive standardized scores on every variable? Reduced Calories What does this mean?

2. What is the most extreme z-score on each variable? The most extreme score on each variable would be the mean. What is the most extreme z-score

across all variables?

3. What beverage is most typical of all beverages, that is, has z-score values closest to 0 for these variables?

#2–3.9 Directions: Run the Frequencies procedure on the following variables: sex, wrkstat (Labor Force Status), paeduc (Father’s highest degree), and satjob (Job or Housework).

1. What is the scale of measurement for each?

2. For which of these variables is it appropriate to use the median?

3. What percent of respondents have a bachelor’s degree, or higher? 9.2% of the respondents have a bachelor’s degree and 5.5% have a graduate degree or higher. What percent of respondents are working?

4. How might you combine some of the categories of wrkstat to insure that there are a sufficient number of respondents in each category?

#3-4.18 Directions: Locate the data set “Drinks.sav” and open it with SPSS. Follow the steps in section 4.18 Learning Activity as written. Answer questions 1-6 in the activity based on your observations of the SPSS output.Type your answers into a Word document.

1.Run Frequencies on the variable alcohol, requesting the summary statistics median and mean, plus a histogram with a superimposed normal curve. Suppress the display of the frequency table.

2. What is the value of value of alcohol that splits the distribution in half? Is the median the same as the mean? Which value is lower? What does that tell you about the shape of the distribution of alcohol?

3. Does the histogram verify your description of the distribution of alcohol? How does it differ from a normal distribution?

4. Run Descriptives to obtain default statistics for price and calories. On which variable is there more dispersion?

Is it even realistic to compare these two variables since they are on different scales?

5. Continuing your analysis of price and calories, run the Explore procedure for these two variables. Request a histogram in addition to the defaults.

6. Does the standard error of each variable help you better determine which variable has more dispersion?

#1-2.9 Directions:Locate the data set “Drinks.sav” and open it with SPSS. Follow the steps in section 2.11 Learning Activity as written. Answer questions 1-3 in the activity based on your observations of the SPSS output.

1.Create standardized scores for all scale variables (price through alcohol). Which beverages have positive standardized scores on every variable? Reduced Calories What does this mean?

2. What is the most extreme z-score on each variable? The most extreme score on each variable would be the mean. What is the most extreme z-score

across all variables?

3. What beverage is most typical of all beverages, that is, has z-score values closest to 0 for these variables?

#2–3.9 Directions: Run the Frequencies procedure on the following variables: sex, wrkstat (Labor Force Status), paeduc (Father’s highest degree), and satjob (Job or Housework).

1. What is the scale of measurement for each?

2. For which of these variables is it appropriate to use the median?

3. What percent of respondents have a bachelor’s degree, or higher? 9.2% of the respondents have a bachelor’s degree and 5.5% have a graduate degree or higher. What percent of respondents are working?

4. How might you combine some of the categories of wrkstat to insure that there are a sufficient number of respondents in each category?

#3-4.18 Directions: Locate the data set “Drinks.sav” and open it with SPSS. Follow the steps in section 4.18 Learning Activity as written. Answer questions 1-6 in the activity based on your observations of the SPSS output.Type your answers into a Word document.

1.Run Frequencies on the variable alcohol, requesting the summary statistics median and mean, plus a histogram with a superimposed normal curve. Suppress the display of the frequency table.

2. What is the value of value of alcohol that splits the distribution in half? Is the median the same as the mean? Which value is lower? What does that tell you about the shape of the distribution of alcohol?

3. Does the histogram verify your description of the distribution of alcohol? How does it differ from a normal distribution?

4. Run Descriptives to obtain default statistics for price and calories. On which variable is there more dispersion?

Is it even realistic to compare these two variables since they are on different scales?

5. Continuing your analysis of price and calories, run the Explore procedure for these two variables. Request a histogram in addition to the defaults.

6. Does the standard error of each variable help you better determine which variable has more dispersion?

1.Create standardized scores for all scale variables (price through alcohol). Which beverages have positive standardized scores on every variable? Reduced Calories What does this mean?1.Create standardized scores for all scale variables (price through alcohol). Which beverages have positive standardized scores on every variable? Reduced Calories What does this mean?

across all variables?

across all variables?

3. What beverage is most typical of all beverages, that is, has z-score values closest to 0 for these variables? 3. What beverage is most typical of all beverages, that is, has z-score values closest to 0 for these variables?

1. What is the scale of measurement for each?

1. What is the scale of measurement for each?

2. For which of these variables is it appropriate to use the median?

2. For which of these variables is it appropriate to use the median?

1.Run Frequencies on the variable alcohol, requesting the summary statistics median and mean, plus a histogram with a superimposed normal curve. Suppress the display of the frequency table.1.Run Frequencies on the variable alcohol, requesting the summary statistics median and mean, plus a histogram with a superimposed normal curve. Suppress the display of the frequency table.

2. What is the value of value of alcohol that splits the distribution in half? Is the median the same as the mean? Which value is lower? What does that tell you about the shape of the distribution of alcohol? 2. What is the value of value of alcohol that splits the distribution in half? Is the median the same as the mean? Which value is lower? What does that tell you about the shape of the distribution of alcohol?

3. Does the histogram verify your description of the distribution of alcohol? How does it differ from a normal distribution? differ from a normal distribution?

4. Run Descriptives to obtain default statistics for price and calories. On which variable is there more dispersion? 4. Run Descriptives to obtain default statistics for price and calories. On which variable is there more dispersion?

Is it even realistic to compare these two variables since they are on different scales?

Is it even realistic to compare these two variables since they are on different scales?

5. Continuing your analysis of price and calories, run the Explore procedure for these two variables. Request a histogram in addition to the defaults.5. Continuing your analysis of price and calories, run the Explore procedure for these two variables. Request a histogram in addition to the defaults.

6. Does the standard error of each variable help you better determine which variable has more dispersion? 6. Does the standard error of each variable help you better determine which variable has more dispersion?