Create a table based on the following data. Compute the percentage of each figure given. Show the percentages only in your table, not the whole numbers given.
Last January 2020, a survey was conducted among 75 men and 75 women in the Philippines. The survey aims to know the patterns of Internet use among men and women 18 years old and above. Men and women are equally likely to use the Internet. Age is a strong predictor of Internet use, such that Internet use is highest among the youth and it decreases with age. Sixty-one youth aged 18-24 are Internet users where 29 are males and 32 are females, compared to only 37 among those aged 25-34 where 18 are males and 19 are females. Twenty-seven among those aged 35-44 are internet users where 15 are males and 12 are females while those aged 45-54 have 9 male Internet users and 7 female users. Four male users of Internet and 5 female users are aged 55 and above.
Create a Table 1 and a title that generally illustrates the data above.
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- The British Department of Transportation studied to see if people avoid driving on Friday the 13th. They did a traffic count on a Friday and then again on a Friday the 13th at the same two locations. The data for each location on the two different dates is in the table. Estimate the mean difference in traffic count between the 6th and the 13th using a 95% level. Round to the nearest whole number. Traffic Count Dates 1990, July 1990, July 6th 13th 124843 122766 122384 122909 1991, September 124255 122340 1991, September 123125 120366 1991, December 1991, December 127873 128871 118840 115788 135754 133695 1992, March 1992, March 131116 128582 1992, November 133042 130642 1992, November 126159 127110 With 95 count between the 6th and the 13th is between O % confidence, it can be said that the true mean difference in traffic andarrow_forwardExplain HOUSING STATISTICS?arrow_forwardWhich statistic would you use if you are interested in comparing the mean number of hours worked by sex.arrow_forward
- should have the right to marry. (The 2014 data were collected before the 2015 U.S. C2. GSS 2014 and GSS 2018 respondents were asked their opinion on whether homosexuals 30 measured on a 5-point scale from strongly agree (1) to strongly disagree (5). Supreme Court decision granting same-sex couples the right to marry. Responses wer measured on a 5-point scale from strongly agree (1) to strong!y aisagiee (2). Cumulative Percentage Homosexuals Should Have Right to Marry (2014) Percentage Frequency 32.5 32.5 Strongly agree 251 57.5 25.2 Agree 195 67.3 Neither agree nor disagree 9.6 74 79.2 Disagree 92 11.9 100.0 Strongly disagree 161 20.8 Total 773 100.0 Homosexuals Should Have Cumulative Right to Marry (2018) Frequency Percentage Percentage Strongly agree 293 39.5 39.5 Agree 200 27.0 66.5 Neither agree nor disagree 70 9.4 75.9 Disagree 67 9.0 84.9 Strongly disagree 111 15.0 99.9 Total 741 99.9 a. What is the level of measurement for this variable? b. What is the mode for 2014? For 2018?arrow_forwardGiven the following data set: $1.42, $1.27, $1.28, $1.48, $1.36, $1.44, $1.46, $1.32, $1.33, $1.33 $1.23, $1.38, $1.43, $1.28, $1.43, $1.49, $1.37, $1.26, $1.26, $1.38 Determine the frequencies of gasoline prices for each given class. Frequency Relative Frequency Class < $1.25 $1.25 < $1.30 $1.30 $1.35 $1.35 $1.40 $1.40 < $1.45 $1.45 CHECK ANSWERarrow_forwardYou are given the following set of observations: 98, 77, 26, 33, 88, 90, 79, 81. What would be the mean for this distribution?arrow_forward
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