Looking at this table, what is the overall gender breakdown of the voiceovers in 2020? Which gender was more represented in the voice-overs? Then, look at the gender breakdown for voice-overs for domestic products and nondomestic products separately. Which relationship in your view, is stronger here: the ones involving voice-overs in ads for domestic products and nondomestic products or the one for products overall?

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.4: Applications
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Looking at this table, what is the overall gender breakdown of the voiceovers in 2020? Which gender was more represented in the voice-overs? Then, look at the gender breakdown for voice-overs for domestic products and nondomestic products separately. Which relationship in your view, is stronger here: the ones involving voice-overs in ads for domestic products and nondomestic products or the one for products overall? 

Table 1. Gender Representation in Commercials for the Years 1976, 1988, 1998, and 2020
Years Commercials Were Coded
1976
1988
1998
2020
Product Representatives
Overall
90 (33%)
181 (67%)
Male
108 (50%)
106 (50%)
113 (49%)
117 (51%)
151 (41%)
216 (59%)
Female
Domestic products
Male
39 (31%)
84 (45%)
102 (55%)
102 (34%)
195 (66%)
51 (26%)
147 (74%)
Female
86 (69%)
Non-Domestic products
Male
69 (78%)
20 (22%)
32 (73%)
12 (27%)
49 (70%)
21 (30%)
39 (53%)
34 (47%)
Female
Voice-Overs
Overall
234 (92%)
20 (8%)
287 (90%)
31 (10%)
432 (71%)
199 (29%)
204 (49%)
209 (51%)
Male
Female
Domestic products
Male
290 (64%)
160 (36%)
89 (37%)
154 (63%)
Female
Non-Domestic products
115 (68%)
55 (32%)
Male
142 (89%)
17 (11%)
Female
Transcribed Image Text:Table 1. Gender Representation in Commercials for the Years 1976, 1988, 1998, and 2020 Years Commercials Were Coded 1976 1988 1998 2020 Product Representatives Overall 90 (33%) 181 (67%) Male 108 (50%) 106 (50%) 113 (49%) 117 (51%) 151 (41%) 216 (59%) Female Domestic products Male 39 (31%) 84 (45%) 102 (55%) 102 (34%) 195 (66%) 51 (26%) 147 (74%) Female 86 (69%) Non-Domestic products Male 69 (78%) 20 (22%) 32 (73%) 12 (27%) 49 (70%) 21 (30%) 39 (53%) 34 (47%) Female Voice-Overs Overall 234 (92%) 20 (8%) 287 (90%) 31 (10%) 432 (71%) 199 (29%) 204 (49%) 209 (51%) Male Female Domestic products Male 290 (64%) 160 (36%) 89 (37%) 154 (63%) Female Non-Domestic products 115 (68%) 55 (32%) Male 142 (89%) 17 (11%) Female
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