Factory A produced 1000 units and 95 were defective. Factory B produced 900 units and 90 were defective. Using a 95 percent confidence level, is there a statistically significant difference in the defect rates?
A. P-value = 0.05, therefore Reject the null hypothesis. There is no statistically significant difference in defect rates.
B. P value = 0.714, therefore Reject the null hypothesis. There is a statistically significant difference in defect rates.
C. P-value = 0.714, therefore Fail to reject the null hypothesis. There is no significant difference in defect rates.
D. P-value = 0.95, therefore Fail to reject the null hypothesis. There is no statistically significant difference in defect rates.
Let’s say you use the Scatterplot to draw a correlation between age (X-axis) and brain development (Y-axis) for individuals between the ages of 5 to 25. The points on the scatterplot gradually increase diagonally from left (age 5) to right (age 25). How will you know if there is a positive correlation between age and brain development on a scatterplot?
A. You cannot draw a correlation from a scatterplot chart; therefore, you need to use another chart.
B. The points demonstrate the number of participants that took part in the research.
C. The diagonal points on the chart indicate the downward spiral of brain development since it is sloping.
D. The points on the graph is growing upward diagonally indicating that as age increases, the brain development increases. This representation signifies a positive correlation.
Suppose you own two pottery stores in your city. You want to find the number of two particular vase colors (color) sold in both stores (location) each week (for each week). You are not interested in the sum total. Which bar graph should you select to compare the data between both stores?
A. Simple Bar Chart
B. Cluster Bar Chart
C. Stacked Bar Chart
D. Boxplot Chart
What is confidence level?
A. Beta
B. (1 – Beta)
C. Alpha
D. (1 – Alpha)
