Solved

A Recent Story in the Media Has Claimed That Women

Question 3

Multiple Choice

A recent story in the media has claimed that women who eat breakfast every day are more likely to have boy babies than girl babies. Imagine you conducted a study to investigate this in women from two different age groups (18-30 and 31-43 years) . Looking at the output tables below, which of the following sentences best describes the results?
 A recent story in the media has claimed that women who eat breakfast every day are more likely to have boy babies than girl babies. Imagine you conducted a study to investigate this in women from two different age groups (18-30 and 31-43 years) . Looking at the output tables below, which of the following sentences best describes the results?    \begin{array}{l} \quad\quad\quad\quad\text { Goodness-of-Fit Tests }\\ \begin{array} { | l | r | r | r | }  \hline & \text { Chi-Square } & \mathrm { df } & \text { Sig. } \\ \hline \text { Likelihood Ratio } & .000 & 0 &. \\ \text { Pearson } & .000 & 0 & . \\ \hline \end{array} \end{array}    A) Removing the two-way interactions (age × gender, age × breakfast, breakfast × gender)  has a significant detrimental effect on the model. B) The three-way interaction (age ? gender ? breakfast)  was not significant. C) All of these statements are correct. D) None of the main effects were significant.  Goodness-of-Fit Tests  Chi-Square df Sig.  Likelihood Ratio .0000. Pearson .0000.\begin{array}{l}\quad\quad\quad\quad\text { Goodness-of-Fit Tests }\\\begin{array} { | l | r | r | r | } \hline & \text { Chi-Square } & \mathrm { df } & \text { Sig. } \\\hline \text { Likelihood Ratio } & .000 & 0 &. \\\text { Pearson } & .000 & 0 & . \\\hline\end{array}\end{array}  A recent story in the media has claimed that women who eat breakfast every day are more likely to have boy babies than girl babies. Imagine you conducted a study to investigate this in women from two different age groups (18-30 and 31-43 years) . Looking at the output tables below, which of the following sentences best describes the results?    \begin{array}{l} \quad\quad\quad\quad\text { Goodness-of-Fit Tests }\\ \begin{array} { | l | r | r | r | }  \hline & \text { Chi-Square } & \mathrm { df } & \text { Sig. } \\ \hline \text { Likelihood Ratio } & .000 & 0 &. \\ \text { Pearson } & .000 & 0 & . \\ \hline \end{array} \end{array}    A) Removing the two-way interactions (age × gender, age × breakfast, breakfast × gender)  has a significant detrimental effect on the model. B) The three-way interaction (age ? gender ? breakfast)  was not significant. C) All of these statements are correct. D) None of the main effects were significant.


A) Removing the two-way interactions (age × gender, age × breakfast, breakfast × gender) has a significant detrimental effect on the model.
B) The three-way interaction (age ? gender ? breakfast) was not significant.
C) All of these statements are correct.
D) None of the main effects were significant.

Correct Answer:

verifed

Verified

Related Questions