Use the spreadsheet that contains the data forProduct A and Product B(available under the 'Assessment' tab on the module website) and help Maria evaluate her product expansion decision by analysing Product B's customer satisfaction scores against the market benchmark of 6.5 ( = 0.05), which she believes her product significantly exceeds. Specifically:

1. discuss the potential impact of Type I and Type II errors in this context
2. calculate and interpret the effect size to determine if it supports Maria's belief.

Based on your findings, provide recommendations for Maria's product expansion decision.

Product A				t-Test: Two-Sample Assuming Unequal Variances
Mean	7.33652174					Variable 1 (Product A)	Variable 2 (Product B)
Standard Error	0.26417207				Mean	7.357777778	7.235185185
Median	7.655				Variance	3.261899495	2.797146191
Mode	4.77				Observations	45	54
Standard Deviation	1.79170213				Hypothesized Mean Difference	0
Sample Variance	3.21019652				df	91
Kurtosis	-0.9243629				t Stat	0.347739255
Skewness	-0.4316492				P(T<=t) one-tail	0.364419534
Range	5.76				t Critical one-tail	1.661771155
Minimum	4.09				P(T<=t) two-tail	0.728839068
Maximum	9.85				t Critical two-tail	1.986377154
Sum	337.48
Count	46
Confidence Level(95.0%)	0.53206986
Upper CI (95%)	7.86859159
Lower CI (95%)	6.80445188
Product B
Mean	7.23518519
Standard Error	0.22759394
Median	7.285
Mode	9.2
Standard Deviation	1.6724671
Sample Variance	2.79714619
Kurtosis	-1.1263032
Skewness	-0.0320238
Range	5.88
Minimum	4.1
Maximum	9.98
Sum	390.7
Count	54
Confidence Level(95.0%)	0.45649564
Upper CI (95%)	7.69168083
Lower (95%)	6.77868954