Anova and t test | Information Systems homework help
Given the yearly sales in yearly_sales .csv file, complete the following:Show all the descriptive statistics of sales_total, including its standard deviation and variance. Correlation of number_of_order to sales_total.Plot the scatter graph of number_of_order to sales_total.Perform linear regression of number_of_order to sales_total.Draw the line of best fit (abline) over your graph.Perform T test as shown below and show your conclusion.Perform ANOVA test as shown below and show your conclusion.
This is to test for the mean of one group; here we have sale_total. t.test(sales_total, mu = 249) # R command for t testH0: mu = 249 # null hypothesisH1: mu ≠ 249 # alternative hypothesis
Rejection level = 0.05 (implies 95% confidence level) Do not Reject H0 if p-value is <= 0.05Reject H0 if p-value is > 0.05
ANOVA is used to test the equality of mean for two groups; here we have Male and Female.anova(lm(data = myData, sales_total ~ factor(gender))) # R command for ANOVA test. H0: There is significant difference between Male and Female sales_total.H1: There is no significant difference between Male and Female sales_total.
Rejection level = 0.05 (implies 95% confidence level)