State whether each of the following is nominal, ordinal, interval or ratio 1. Color of the eyes of 10 foreigners     2. The scent of perfume     3. The decision of the court judge     4. Prizes in the competition     5. Places in the contest     answer? -State whether each of the following is quantitative or qualitative 1. Number of participants in the seminar     2. Percentage of alcohol of 10 local wines     answer? -State whether each of the following situation / condition talks about descriptive or inferential statistics  1. Comparison of shopper’s behavior by their income level     2. The effect of oil price hike to the customers     3. Gender in relation to the productivity of employees     answer?

1. A report in a national magazine estimated that 39 percent of American husbands do not know the color of their wives' eyes. Bill Cornett is a marriage counselor in a clinic in New Orleans. He feels the figure is higher for husbands in the greater New Orleans area. A sample of 264 husbands in this area yielded 111 who did not know the true color of their wives' eyes. a. Conduct a test of significance to determine whether the value of 0.39 can be rejected as too low for husbands in New Orleans. Be sure to state your hypotheses, all relevant statistics, a list of technical conditions, and a conclusion to your test. b. Produce a relevant confidence interval designed to capture the true proportion of American husbands who do not know the color of their wives' eyes. Explain how your interval backs up the result of your test of significance from part a.

3. You would like to determine if there is a statistical relationship between the amount of caffein in a cup of coffee and their sales at their coffee franchises. The data is included in the set "Coffee by the Cup". Here is information about the variables. Variable Caffeine Cups Sold Measurement Amount of caffeine in one cup Number of cups of the coffee Units Milligrams Cups sold sold at all of the franchises a. Which variable is the explanatory variable and which variable is the response variable? b. Construct a scatterplot of the data. Based upon the scatterplot is there a linear relationship between the amount of caffeine in one cup of the coffee and the number of cups of coffee sold? Justify your reasoning using the scatterplot. c. Run a t-test for correlation using technology. Make sure you include the p-value and the printout. According to the t-test, is there a statistical relationship between the amount of caffeine in a cup of coffee and the number of cups sold? Justify your…

On the following pages you are presented with five problems. Your job is to examine the output and discuss whether there is a statistically significant relationship between the two variables, the pattern or direction of the relationship if the relationship is significant, and the strength of the relationship if the relationship is significant. AS you discuss the strength of the relationship, you will rely on an appropriate measure of association from those that have been given. For that determination, you will need to appropriately determine the level of measurement of each of the variables being examined. Please use the Measures of Association Chart I provided to help you with your determination. You may write your responses on a separate document or next to the problems on this one.