Chi Square Crash Course Quiz Part A:

Question 1

1pts

How many infants in the No Reward and Reward conditions helped on the 6thtrial?

Group of answer choices

A total of 9 infants (36 %) in the No Reward condition provided help on the 6thtrial. In contrast, 19 infants in the Reward condition (64%) provided help.

A total of 6 infants (24%) in the No Reward condition provided help on the 6thtrial. In contrast, 16 infants in the Reward condition (64%) provided help.

A total of 19 infants (76%) in the No Reward condition provided help on the 6thtrial. In contrast, only 9 infants in the Reward condition (36%) provided help.

A total of 19 infants (24%) in the No Reward condition provided help on the 6thtrial. In contrast, only 9 infants in the Reward condition (64%) provided help.

A total of 28 infants (56%) in the No Reward condition provided help on the 6thtrial. In contrast, only 22 infants in the Reward condition (44%) provided help.

Question 2

1pts

We used a chi square test to look at whether the infants helped (versus did not help) on the 6thtrial, but can we use at-Test for this study? Select the appropriate answer

Group of answer choices

Yes, we can run at-Test. Thet-Test relies on continuous variables, and the dependent variable here is continuous (scaled).

Yes, we can run at-Test. Since the dependent variable here is a yeso response (or a dichotomous or nominal variable), we at-Test is appropriate to use

No, we cannot run at-Test. Since the dependent variable here is a yeso response (or a dichotomous or nominal variable), we cannot run at-Test. A chi square is more appropriate

No, we cannot run at-Test. Since the dependent variable here is a continuous (scaled) response, we cannot run at-Test. A chi square is more appropriate

There is not enough information in this study to decide if we can run at-Test

Question 3

1pts

Which of the following represents the correct way to write out the results for this chi square in an APA formatted results section?

Group of answer choices

A chi square test of independence was calculated comparing whether infants helped on the 6thtrial depending on whether they were in the No Reward or Reward conditions. A significant relationship emerged, 2(1) = 8.12,p

A chi square test of independence was calculated comparing whether infants helped on the 6thtrial depending on whether they were in the No Reward or Reward conditions. A significant relationship emerged, 2(4) = 8.12,p

A chi square test of independence was calculated comparing whether infants helped on the 6thtrial depending on whether they were in the No Reward or Reward conditions. A significant relationship emerged, 2(1) = 8.12,p

A chi square test of independence was calculated comparing whether infants helped on the 6thtrial depending on whether they were in the No Reward or Reward conditions. A significant relationship did not emerge, 2(1) = 8.12,p .05. In the No Reward condition, 19 infants (76%) helped while 9 infants in the Reward condition (36%) helped, though this difference was not statistically significant. Phi showed a strong effect.

A chi square test of independence was calculated comparing whether infants helped on the 6thtrial depending on whether they were in the No Reward or Reward conditions. A significant relationship did not emerge, 2(4) = 8.12,p .01. In the No Reward condition, 19 infants (76%) helped while 9 infants in the Reward condition (36%) helped, though this difference was not statistically significant. Phi showed a strong effect.

Flag this Question

Chi Square Crash Course Quiz Part B: You design a new study in which a third of the infants are in the No Reward condition, a third are in the High Reward condition (bribed with a food they like), and a third are in the Low Reward condition (Praised with the phrase, ""Thank you so much! You are a really helpful boy/girl! Great job!"). You once again determine whether the infant helped on the 6thtrial (YES they helped or NO they did not help). You get the following data (Note: This does differ from the tables used for questions 1, 2, and 3! If you want to run the data yourself, use the"Chi Square Crash Course Data - Justification B" in Canvas - not required, but recommended!):

Question 4

1pts

How many infants in the No Reward, High Reward, and Low Reward conditions provided help on the 6thtrial?

Group of answer choices

A total of 24 infants (80%) in the No Reward condition helped on the 6thtrial. A total of 21 infants (70%) in the High Reward condition helped on the 6thtrial. Finally, a total of 26 infants (86.7%) in the Low Reward condition helped on the 6thtrial.

A total of 6 infants (20%) in the No Reward condition helped on the 6thtrial. A total of 9 infants (30%) in the High Reward condition helped on the 6thtrial. Finally, 4 a total of infants (13.3%) in the Low Reward condition helped on the 6thtrial.

A total of 37 infants (41.1%) in the No Reward condition helped on the 6thtrial. A total of 53 infants (58.9%) in the High Reward condition helped on the 6thtrial. Finally, a total of 90 infants (100%) in the Low Reward condition helped on the 6thtrial.

A total of 24 infants (80%) in the No Reward condition helped on the 6thtrial. A total of 9 infants (30%) in the High Reward condition helped on the 6thtrial. Finally, a total of 4 infants (13.3%) in the Low Reward condition helped on the 6thtrial.

A total of 30 infants (100%) in the No Reward condition helped on the 6thtrial. A total of 30 infants (100%) in the High Reward condition helped on the 6thtrial. Finally, a total of 30 infants (100%) in the Low Reward condition helped on the 6thtrial.

Question 5

1pts

Which of the following represents the correct way to write out the results for this chi square in an APA formatted results section?

Group of answer choices

A chi square test of independence was calculated comparing whether infants helped on the 6thtrial depending on whether they were in the No Reward, High Reward, or Low Reward condition. A significant relationship emerged, 2(1) = 29.83,p

A chi square test of independence was calculated comparing whether infants helped on the 6thtrial depending on whether they were in the No Reward, High Reward, or Low Reward condition. A significant relationship emerged, 2(2) = 29.83,p

A chi square test of independence was calculated comparing whether infants helped on the 6thtrial depending on whether they were in the No Reward, High Reward, or Low Reward condition. A significant relationship emerged, 2(2) = 29.83,p

A chi square test of independence was calculated comparing whether infants helped on the 6thtrial depending on whether they were in the No Reward, High Reward, or Low Reward condition. A significant relationship did not emerge, 2(1) = 29.83,p .05. While most infants in the No Reward condition (80%) helped, only a few infants in the High Reward condition (30%) and the Low Reward condition (13.3%) helped. Cramer's V showed a strong effect.

A chi square test of independence was calculated comparing whether infants helped on the 6thtrial depending on whether they were in the No Reward, High Reward, or Low Reward condition. A significant relationship did not emerge, 2(2) = 29.83,p .05. While most infants in the No Reward condition (80%) helped, only a few infants in the High Reward condition (30%) and the Low Reward condition (13.3%) helped, though the differences were not significant. Cramer's V showed a weak effect.

AutoSave . OFF Document1 Home Insert Draw Design Layout References Mailings Review View Tell me Share Comments Calibri (BO... * 12 A" A Aa Ap AaBbCcDdEe AaBbCcDdEe AaBbCcDc AaBbCcDdE AaBb( AaBbCcDdE:|AaBbCcDdEe Paste BIUvab X x A LA Normal No Spacing Heading 1 Heading 2 Title Subtitle Subtle Emph Styles Dictate Pane Condition (1 - No Reward, 2 - High Reward, 3 - Low Reward) * Did the infant help on the 6th trial? (Yes = 1, No = 2) Crosstabulation Did the infant help on the 6th trial? (Yes = 1. No = 2) Yes No Total Condition (1 = No Count Reward, 2 = High No Reward 30 Reward, 3 = Low Reward) % within Condition (1 = No Reward, 2 = High 80.0% 20.0% 100.0% Reward, 3 = Low Reward) High Reward Count 21 30 % within Condition (1= 30.0% 70.0% 100.0% No Reward, 2 = High Reward, 3 = Low Reward) Low Reward Count 26 30 % within Condition (1 = No Reward, 2 = High 13.39 86.7% 100.0% Reward, 3 = Low Reward) Total Count 53 90 9% within Condition (1 = 41.1% 58.9% No Reward, 2 = High 100.0% Reward, 3 = Low Reward) Chi-Square Tests Value Asymp. Sig. df (2-sided) Pearson Chi-Square 29.832 000 Likelihood Ratio 31.670 Linear-by-Linear 27.231 -N N 000 000 Association N of Valid Cases 90 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 12.33. Symmetric Measures Value Approx. Sig. Nominal by Nominal Phi .576 000 Cramer's V 576 000 N of Valid Cases 90 a. Not assuming the null hypothesis b. Using the asymptotic standard error assuming the null hypothesis. Flan this Question Page 1 of 6 1609 words x English (United States) Focus E + 132%