conduct a research study to see whether the new bonus plan increases sSales volume. To collect data one-month period. plan, sample of sales personnel will be allowed to sell under (a) Develop the null and alternative hypotheses most appropriate for this situation. Ho: H 2 14 HaiH< 14 Ho: H = 14 Hg:H # 14 H3:H > 14 Ho:H > 14 HaiHS 14 DI 5 H :°H o Ho: H < 14 HgiHZ 14 (b) Comment on the conclusion when Ho cannot be rejected. We can conclude that there is not statistical evidence that the new bonus plan increases the mean monthly sales volume. We can conclude that there is statistical evidence that the new bonus plan increases the mean monthly sales volume. (c) Comment on the conclusion when Ho can be rejected. We can conclude that there is not statistical evidence that the new bonus plan increases the mean monthly sales volume. O We can conclude that there is statistical evidence that the new bonus plan increases the mean monthly sales volume.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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