A two-way analysis of variance experiment with interaction was conducted. Factor A had three levels (columns), factor B had five levels (rows), and six observations were obtained for each combination. The results include the following sum of squares terms: SST = 1558 SSA = 1008 SSB = 400 SSAB = 30 a. Construct an ANOVA table. (Round Intermedlate calculations to at least 4 decimal places. Round "MS" to 4 decimal places and "P to 3 decimal places.) ANOVA Source of Variation df MS p-value Rows 0.000 Columns 0.000 Interaction 0.028 Error Total b. At the 1% significance level, can you conciude that there is interaction between factor A and factor 5? O Yes, since the p-value associated with interaction is less than significance level. O Yes, since the p-value associated with interaction is greater than significance level. O No. since the p-value associated with interaction is less than significance level. O No, since the p-value associated with interaction is greater than significance level. c. At the 1% significance level, can you conclude that the factor A means differ? O Yes, since the p-value for factor A is less than significance level. O Yes, since the p-value for factor A is greater than significance level. O No, since the p-value for factor A is less than significance level. O No, since the p-value for factor A is greater than significance level.

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Unitary Method

The word “unitary” comes from the word “unit”, which means a single and complete entity. In this method, we find the value of a unit product from the given number of products, and then we solve for the other number of products. 

Speed, Time, and Distance

Imagine you and 3 of your friends are planning to go to the playground at 6 in the evening. Your house is one mile away from the playground and one of your friends named Jim must start at 5 pm to reach the playground by walk. The other two friends are 3 miles away.

Profit and Loss

The amount earned or lost on the sale of one or more items is referred to as the profit or loss on that item.

Units and Measurements

Measurements and comparisons are the foundation of science and engineering. We, therefore, need rules that tell us how things are measured and compared. For these measurements and comparisons, we perform certain experiments, and we will need the experiments to set up the devices.