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By: Thu-Anh Le, Lily Han & Samantha Haber

Who Spends More Time Grooming?. By: Thu-Anh Le, Lily Han & Samantha Haber. Introduction. Typically, in society, when it comes to physical appearances and looks, it is believed that females spend more time grooming than males

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By: Thu-Anh Le, Lily Han & Samantha Haber

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  1. Who Spends More Time Grooming? By: Thu-Anh Le, Lily Han & Samantha Haber

  2. Introduction • Typically, in society, when it comes to physical appearances and looks, it is believed that females spend more time grooming than males • In addition, females are believed to sleep more than males in order to maintain their beauty sleep

  3. Overview of our project • Since this tends to be society’s belief, we were interested in finding out how true these statements were when applied to the UOP campus. • Therefore, our project is testing to see if: • The mean minutes that females spend grooming in the morning is greater than the mean minutes that males spend grooming in the morning. • The mean hours of sleep that females get a day is greater than the mean hours of sleep that males get a day

  4. Our Questions • Do females spend more time than males grooming in the morning? • Do females get more hours of sleep a day than males? • Example of our Survey

  5. How Statistics Can Help Us Find an Answer? • The different data that we have collected on the amount of time spent on grooming and sleeping of college students was used to find out if there is a difference in amount of time spent grooming in the morning and sleeping for different genders • A independent analysis was used to determine whether or not the stereotype is true that females spend more time grooming and sleeping than males • A Z distribution was used since we had a sample size of more than 30

  6. Females Brushing Teeth Combing Hair Hair spraying Washing Face Shaving Applying Makeup Applying Lotion Showering Males Applying Cologne Shaving Brushing Teeth Combing Hair Gel Hair Washing Face Showering Applying Aftershave What is Considered Grooming?

  7. Defining our Parameters • Collected data from 38 females and 32 males in the library and on our online survey site. • Defining the sample means as: µ1= mean minutes that females spend grooming in the morning µ2= mean minutes that males spend grooming in the morning • The null and alternative hypothesis are as follows: Ho: µ1 = µ2; µ1–µ2 = 0 Ha: µ1> µ2; µ1 – µ2 > 0 • We predict that females spend more time grooming than males

  8. Defining our Parameters • We collected data from 38 females and 32 males in the library and on our online survey site. • Defining the sample means as: µ1= mean hours of sleep that females get a day µ2= mean hours of sleep that males get a day • The null and alternative hypothesis are as follows: Ho: µ1 = µ2; µ1–µ2 = 0 Ha: µ1> µ2; µ1 – µ2 > 0 • We predict that females get more hours of sleep a day

  9. Data for Females

  10. Data for Males

  11. Calculations • Two-Sample Z-Test: Minutes Spent Grooming, Gender • Two-sample Z for Minutes Spent Grooming • Gender N Mean StDev • F 38 29.31579 20.50195 • M 32 20.31250 17.48075 • Difference = mu (F) - mu (M) • Rejection Region: Z > 1.645 • Z Test of difference = 0 (vs >): Z-Value = 1.98 • P-Value = 0.0239 • 95% Confidence Interval: (0.105, 17.901).

  12. Calculations • Two-Sample Z-Test: Hours Spent Sleeping, Gender • Two-sample Z for Hours Spent Sleeping • Gender N Mean StDev • F 38 6.513158 1.205207 • M 32 6.21875 1.106706 • Difference = mu (F) - mu (M) • Rejection Region: Z > 1.645 • Z Test of difference = 0 (vs >): Z-Value = 1.06 • P-Value = 0.1446 • 95% Confidence Interval: (-0.248, 0.837).

  13. Data for Minutes of Grooming

  14. Data for Hour Spent Sleeping

  15. Conclusion for Minutes Spent Grooming • Since the observed Z of 1.98 falls within the rejection region of Z > 1.645, we reject the Ho, therefore females do spend more time grooming than males. • Since the p-value of 0.0239 is less than the 0.05 level of significance, we reject the Ho. • We are 95% confident that (µ1 - µ2) will be in the interval (0.105, 17.901).

  16. Conclusion for Hours Spent Sleeping • Since the observed Z of 1.06 doesn’t fall within the rejection region of Z > 1.645 we fail to reject the Ho. Therefore, there isn’t a significant difference between the hours of sleep that males & females get. • Since the p-value of 0.1446 is greater than the 0.05 level of significance, we fail to reject the Ho. • We are 95% confident that (µ1 -µ2) will be in the interval (-0.248, 0.837). • Since 0 is a possible value in the interval (-0.248, 0.837), (µ1 -µ2) may be equal to 0, meaning that µ1 may be equal to µ2, therefore we fail to reject the Ho and there isn’t a significant difference between the hours of sleep that male and females get.

  17. Conclusion For Grooming

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