Online shopping statistics are routinely reported by www.shop.org. Of interest to many online retailers are gender-based differences in shopping preferences and behaviors. The summary data of monthly online expenditures for a sample of male and female online shoppers are shown in the following table:. Find 95% confidence intervals for the mean monthly online expenditures for male and female online shoppers (use 2 decimal places in your answers; do not round intermediate calculations).________ lower bound of male interval (use 2 decimal places in your answer).________ upper bound of male interval (use 2 decimal places in your answer).________ lower bound of female interval (use 2 decimal places in your answer).________ upper bound of female interval (use 2 decimal places in your answer).. The confidence intervals in question 1 overlap. What does this suggest about any gender-based differences in online expenditures? Pick oneThe overlap suggests that there is no significant difference between the mean online expenditures of males and females.Even though there is overlap, the sample mean for males is greater so it is certain that the mean online expenditures for all males who shop online is greater than the mean online expenditures for all females who shop online.. Find the 95% confidence interval for thein mean monthly online expenditures between males and females. Use 85 degrees of freedom.________ lower bound of confidence interval (use 2 decimal places in your answer).________ upper bound of confidence interval (use 2 decimal places in your answer).. The results in questions 1 and 3 seem contradictory. Which method is correct: doing two-sample inference as in question 3, or doing one-sample inference twice as in question 1?two-sample inferenceone-sample inference twice
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