Question:

Considering both the probability value and effect size measure, what interpretations would you make about the findings? That is, what are your conclusions about the effects of leaving happy faces on checks?

Recall again that Rind & Bordia (1996) investigated whether or not drawing a happy face on customers' checks increased the amount of tips received by a waitress at an upscale restaurant on a universitycampus. Duringthelunchhourawaitressdrewahappy,smilingfaceonthechecksofa randomhalfofhercustomers. Theremaininghalfofthecustomersreceivedacheckwithnodrawing(18 points).

The tip percentages for the control group (no happy face) are as follows:

45% 39% 36% 34% 34% 33% 31% 31% 30% 30% 28% 28% 28% 27% 27% 25% 23% 22% 21% 21% 20% 18% 8%

The tip percentages for the experimental group (happy face) are as follows:

72% 65% 47% 44% 41% 40% 34% 33% 33% 30% 29% 28% 27% 27% 25% 24% 24% 23% 22% 21% 21% 17%

Group of answer choices

The p value that is calculated for the t-test is dependent on several factors including sample size and effect size. It is very likely that, given the effect size obtained, if the sample size was larger the study would have yielded statistically significant results. Therefore, it appears that the low statistical power (i.e., high Type II error) of the study resulting from the small sample size was probably mainly responsible for the lack of significant findings.

The p value that is calculated for the t-test is dependent on one factor: sample size. It is very likely that, given the large effect size obtained, if the sample size was larger the study would have yielded statistically significant results. Therefore, it appears that the strong statistical power of the study resulting from the small sample size was mainly responsible for the lack of significant findings.

The p value that is calculated for the t-test is dependent on several factors including sample size and effect size. It is very likely that, given the small effect size obtained, if the sample size was smaller the study would have yielded statistically significant results. Therefore, it appears that the low statistical power (i.e., high Type II error) of the study resulting from the large sample size was mainly responsible for the lack of significant findings.

The p value that is calculated for the t-test is dependent on several factors including sample size and effect size. It is very likely that, given the effect size obtained, if the sample size was smaller the study would have yielded statistically significant results. Therefore, it appears that the low statistical power (i.e., high Type II error) of the study resulting from the large sample size was mainly responsible for the lack of significant findings.

A Gaussian surface B Gaussian surface C +Q +Q A charge of +Q is distributed in different ways within a Gaussian surface. In A it is uniformly distributed throughout the volume of the sphere, in B it is concentrated at a point at the center and in C it is uniformly distributed on a spherical shell lying just inside the Gaussian surface. For which of the configurations (A, B, or C) is the flux through the spherical Gaussian surface the largest?3. In figure, different charges are shown in the Gaussian surfaces. These Gaussian surfaces consist of 5 different geometric shapes (A-Rectangle, B-right triangle, C- star, D- square, E- ellipse). Calculate the electric flux through each (15p) Gaussian surface. Please, Rank the Gaussian surfaces in order of increasing electric flux. A- Rectangle .-q D- Square E- Ellipse -39 +4q C- Star -39 + 9 -29 + 69 +59 B- Right triangle Good LuckPartial Question 5 0.5 / 1 pts Which of the following statements about Gauss's law are correct? (There may be more than one correct choice.) The electric flux passing through a Gaussian surface depends only on the amount of charge inside that surface, not on its size or shape. O Gauss's law is valid only for symmetric charge distributions, such as spheres and cylinders. V If a Gaussian surface is completely inside an electrostatic conductor, the electric field must always be zero at all points on that surface. If there is no charge inside of a Gaussian surface, the electric field must be zero at points of that surface. Only charge enclosed within a Gaussian surface can produce an electric field at points on that surface