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Does adding math to a scientific paper make readers think that it has more value? Eriksson (2012) sent two abstracts of scientific papers to 200 people with postgraduate degrees. For each participant, one of the abstracts was randomly chosen and had a meaningless sentence inserted describing an unrelated mathematical model, while the other had no mathematical addition. The sentence had no conceptual connection to the subject matter of the abstract; it was just meaningless mathematics in that context. Participants were asked to rate the quality of the research in each abstract on a scale from 1 to 100, and the differences between the scores of their two abstracts-score of the abstract with math minus score of abstract without math were recorded. Participants were also asked for the subject matter of their postgraduate degree: math, science, technology (MST); medicine (M): humanities, social science (HS); or other (O). A box plot of the data and summaries of the results for each group are given. Score difference 50- -50 M HS Degree subject Whitlock & Schluter, The Analysis of Biological Data, 3e © 2020 W. H. Freeman and Company M HS 0 P= Degree subject MST MST Mean score difference -1.28 3.06 6.60 13.90 F = 4.312 SD score difference n 19.24 69 15.99 16 Click to download the data in your preferred format. CSV Excel JMP Mac-Text Minitab PC-Text R SPSS TI CrunchIt! 21.15 84 23.31 31 Test whether the subject background of the participants affected how much the added math changed their views of the abstracts on average. Determine the value of the test statistic F and the P-value. Give your answers to three decimal places.

Does adding math to a scientific paper make readers think that it has more value? Eriksson (2012) sent two abstracts of scientific papers to 200 people with postgraduate degrees. For each participant, one of the abstracts was randomly chosen and had a meaningless sentence inserted describing an unrelated mathematical model, while the other had no mathematical addition. The sentence had no conceptual connection to the subject matter of the abstract; it was just meaningless mathematics in that context. Participants were asked to rate the quality of the research in each abstract on a scale from 1 to 100, and the differences between the scores of their two abstracts-score of the abstract with math minus score of abstract without math were recorded. Participants were also asked for the subject matter of their postgraduate degree: math, science, technology (MST); medicine (M): humanities, social science (HS); or other (O). A box plot of the data and summaries of the results for each group are given. Score difference 50- -50 M HS Degree subject Whitlock & Schluter, The Analysis of Biological Data, 3e © 2020 W. H. Freeman and Company M HS 0 P= Degree subject MST MST Mean score difference -1.28 3.06 6.60 13.90 F = 4.312 SD score difference n 19.24 69 15.99 16 Click to download the data in your preferred format. CSV Excel JMP Mac-Text Minitab PC-Text R SPSS TI CrunchIt! 21.15 84 23.31 31 Test whether the subject background of the participants affected how much the added math changed their views of the abstracts on average. Determine the value of the test statistic F and the P-value. Give your answers to three decimal places.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 27PPS
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Macmillan Learning Does adding math to a scientific paper make readers think that it has more value? Eriksson (2012) sent two abstracts of scientific papers to 200 people with postgraduate degrees. For each participant, one of the abstracts was randomly chosen and had a meaningless sentence inserted describing an unrelated mathematical model, while the other had no mathematical addition. The sentence had no conceptual connection to the subject matter of the abstract; it was just meaningless mathematics in that context. Participants were asked to rate the quality of the research in each abstract on a scale from 1 to 100, and the differences between the scores of their two abstracts-score of the abstract with math minus score of abstract without math-were recorded. Participants were also asked for the subject matter of their postgraduate degree: math, science, technology (MST); medicine (M): humanities, social science (HS); or other (O). A box plot of the data and summaries of the results for each group are given. Score difference F = 50- P = 6 M HS 0 -50- M HS Degree subject Whitlock & Schluter, The Analysis of Biological Data, 3e © 2020 W. H. Freeman and Company Degree subject MST MST Mean score difference -1.28 3.06 6.60 13.90 SD score difference Click to download the data in your preferred format. CSV Excel JMP Mac-Text Minitab PC-Text R SPSS TI CrunchIt! 4.312 11 Test whether the subject background of the participants affected how much the added math changed their views of the abstracts on average. 19.24 69 15.99 16 21.15 84 23.31 31 Determine the value of the test statistic F and the P-value. Give your answers to three decimal places.
Transcribed Image Text:Macmillan Learning Does adding math to a scientific paper make readers think that it has more value? Eriksson (2012) sent two abstracts of scientific papers to 200 people with postgraduate degrees. For each participant, one of the abstracts was randomly chosen and had a meaningless sentence inserted describing an unrelated mathematical model, while the other had no mathematical addition. The sentence had no conceptual connection to the subject matter of the abstract; it was just meaningless mathematics in that context. Participants were asked to rate the quality of the research in each abstract on a scale from 1 to 100, and the differences between the scores of their two abstracts-score of the abstract with math minus score of abstract without math-were recorded. Participants were also asked for the subject matter of their postgraduate degree: math, science, technology (MST); medicine (M): humanities, social science (HS); or other (O). A box plot of the data and summaries of the results for each group are given. Score difference F = 50- P = 6 M HS 0 -50- M HS Degree subject Whitlock & Schluter, The Analysis of Biological Data, 3e © 2020 W. H. Freeman and Company Degree subject MST MST Mean score difference -1.28 3.06 6.60 13.90 SD score difference Click to download the data in your preferred format. CSV Excel JMP Mac-Text Minitab PC-Text R SPSS TI CrunchIt! 4.312 11 Test whether the subject background of the participants affected how much the added math changed their views of the abstracts on average. 19.24 69 15.99 16 21.15 84 23.31 31 Determine the value of the test statistic F and the P-value. Give your answers to three decimal places.
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