Males vs Females and One True Love In Data 2.1 we describe a study in which a random sample of 2625 US adults were asked whether they agree or disagree that there is “only one true love for each person.” The response and gender of the participants is shown in Table 3.6. Use the information in the table to construct and interpret a 95% confidence interval for the difference in the proportion who agree, between males and females, using the fact that the standard error for the difference is 0.018. Is it plausible that there is no difference between males and females in the proportion who agree that each person has only one true love?   Table3.6Is there one true love for each person?                           Male  Female  Total         Agree.    372.     363.      735     Disagree.   807.    1005.     1812  Don't know.   34.      44.         78       Total 1213 1412 2625

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.