Answer:
The correct answer is 1 pitcher.
Step-by-step explanation:
Oscar sold 2 pitchers of lemon are from his lemonade stand on Friday.
On Saturday, he sold as much lemonade as on Friday.
The number of pitchers of lemon from the lemonade stand which Oscar sold on Saturday is given by × 2 = 1 pitcher.
Thus Oscar sold 1 pitcher on Saturday which is half of the number of pitchers of lemon he could sell on Friday.
Answer:
a) Independent variable: The manufacturer. It's a categorical and qualitative variable.
b) Dependent variable: time needed to mix the material, and is a quantitative variable
c) On this case since we want to compare the means of different groups of manufacturers on specific 3 manufacturers (A,B and C) the best way to analyze this is with the ANOVA procedure.
d) ANOVA is the correct procedure since this procedure is used to analyze the differences among group means in a sample, and that's what we want to analyze.
The hypothesis for this case are given by
Null hypothesis:
Alternative hypothesis: Not all the means are equal
Step-by-step explanation:
Previous concepts
Analysis of variance (ANOVA) "is used to analyze the differences among group means in a sample".
The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"
Part A
Independent variable: The manufacturer. It's a categorical and qualitative variable.
Part B
Dependent variable: time needed to mix the material, and is a quantitative variable
Part C
On this case since we want to compare the means of different groups of manufacturers on specific 3 manufacturers (A,B and C) the best way to analyze this is with the ANOVA procedure.
Part D
ANOVA is the correct procedure since this procedure is used to analyze the differences among group means in a sample, and that's what we want to analyze.
The hypothesis for this case are given by
Null hypothesis:
Alternative hypothesis: Not all the means are equal
In order to find the mean square between treatments (MSTR), we need to find first the sum of squares and the degrees of freedom.
If we assume that we have groups and on each group from
we have
individuals on each group we can define the following formulas of variation:
And we have this property