Question

Two classes take the same research final examination. The mean of one class is 80/8) and the mean of the other is 85(13). 46. What is true about these scores? a. The highest grades between the 2 groups were most likely in the class with a mean of 85. b. The lowest score of either class is 75. c. All students in the class with the higher average did better on the exam. d. The class with the mean of 80 had more A's. 47. What type of measure is the final examination? a. direct b. indirect 48. The instructor wants to know if the mean scores from the two classes are statistically different and set a level of significance of 0.05 (p = 0.05) to compare them. Findings indicated a p value of 0.10. How would you interpret this finding? a. There was less difference that the researcher was looking for. b. There was a lower degree of sameness among the subjects than the researcher was looking for. c. This level of significance indicated that the two classes were different. 49. The test had 150 questions on it. What is true about sample sizes when there are more variables being tested? a. The more variables a study has the fewer the subjects needed. b. The more variables a study has the more subjects that are needed 50. What level of measurement is the dependent variable of this study? a. nominal b. ordinal c. interval d. ratio 1596176660 Multiple Choice 9

Answer 1

46)

option A) is correct
The highest grades between the 2 groups were most likely in the class with a mean of 85.

47)

'Direct measurement' refers to measuring exactly the thing that you are looking to measure, while 'indirect measurement' means that you're measuring something by measuring something else.

direct

48)
if p-value < alpha, we reject the null hypothesis
if p-value > alpha, we fail to reject the null hypothesis

since p-value > alpha, we fail to reject the null hypothesis

hence results are not statistically significant
option A) is correct

49)
option B)
The more variables a study has the more subjects that are needed

50)
Ratio scale data is like interval scale data, but it has a 0 point and ratios can be calculated. You will not have a negative value in ratio scale data.

For example, four multiple choice statistics final exam scores are 80, 68, 20 and 92 (out of a possible 100 points) (given that the exams are machine-graded.) The data can be put in order from lowest to highest: 20, 68, 80, 92. There is no negative point in the final exam scores as the lowest score is 0 point.

The differences between the data have meaning. The score 92 is more than the score 68 by 24 points. Ratios can be calculated. The smallest score is 0. So 80 is four times 20. If one student scores 80 points and another student scores 20 points, the student who scores higher is 4 times better than the student who scores lower.

This is ratio