Solution :
x: the student who knew the material and who did not
here x has only two possible values hence it would be bimodal distribution
a. Bimodal
An examination that clearly distinguished between those students who knew the material and those who did...
Directions: The data shown in the following histograms come from students who took introductory statistics between 2002 and 2008 from a small institution in the PNW (not UWT, by the way). 1. For each data set, determine the variable type: qualitative (categorical) or quantitative. 2. For each data set, determine the level of measurement: nominal, ordinal, interval, or ratio 3. Then describe the shape of each distribution using the terminology discussed in class: unimodal, bimodal, right-skewed, left-skewed, symmetric, or uniform....
Match the following variables with the shape its histogram would likely display. 1. Heights of WPI students В A. Bimodal 2. Accurate length of 100 nails that are produced to be 2-inch. B. Unimodal and symmetric c. Unimodal and skewed right 3. Age at death for residents in US. D. Unimodal and skewed left 4. Individual annual incomes of US population. A
Each year about 1500 students take the introductory statistics course at a large university. This year scores on the nal exam are distributed with a median of 74 points, a mean of 70 points, and a standard deviation of 10 points. There are no students who scored above 100 (the maximum score attainable on the nal) but a few students scored below 20 points. (a) Is the distribution of scores on this nal exam symmetric, right skewed, or left skewed?...
On the first test in an introductory statistics class, most students did very well and only a few did poorly (including a few who did very poorly). How would you describe the distribution of test scores? 1. Having a floor effect 2. Symmetrical 3. Positively skewed 4. Negatively skewed
The test scores on a 100-point test were recorded for 20 students. 61 94 91 85 54 74 85 83 77 93 89 99 91 71 86 67 | 94 | 76 96 83 | (a) Use a stem and leaf plot to describe the data. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) 1,7 1,4,6,7 3,3,5,5,6,9 9 1,1,3,4,4,6,9 (b) Describe the shape and location of the scores. The distribution is mound...
A z score of 1.25 represents an observation that is a) 1.25 standard deviation below the mean. b) 0.25 standard deviations above the mean of 1. c) 1.25 standard deviations above the mean. d) both b and c Assume that your class took an exam last week and the mean and standard deviation of the exam were 85 and 5, respectively. Your instructor told you that 30 percent of the students had a score of 90 or above. You would...
Unit 6 Lesson 3 Classwork (Adapted from Math Vision Project) Data Distribution A lot of information can be obtained from looking at data plots and their distributions. It is important when describing data that we use context to communicate the shape, center, and spread. Shape and spread: Modes: uniform (evenly spread- no obvious mode), unimodal (one main peak), bimodal (two main peaks), or multimodal (multiple locations where the data is relatively higher than others). Skewed distribution: when most data is...
The difference between a standard score of -1.0 and a standard score of 1.0 is a) the standard score 1.0 is farther from the mean than -1.0 b) the standard score -1.0 is farther from the mean than 1.0 c) the standard score 1.0 is above the mean while -1.0 is below the mean. d) the standard score -1.0 is above the mean while 1.0 is below the mean. 16 17 If the test scores on an art history exam...
Assume a researcher wants to see if there are mean differences in body image between those who exercise in the front of an aerobic dance class vs. those who exercise at the back of the class. The researcher also wants to determine if the findings depend on whether the participants are male or female. What is the DV? What is the IV or IVs? How many levels of each IV? What are the three research questions that will be asked?...
Unit 6 Lesson 3 Classwork (Adapted from Math Vision Project) Data Distribution A lot of information can be obtained from looking at data plots and their distributions. It is important when describing data that we use context to communicate the shape, center, and spread. Shape and spread: Modes: uniform (evenly spread- no obvious mode), unimodal (one main peak), bimodal (two main peaks), or multimodal (multiple locations where the data is relatively higher than others). Skewed distribution: when most data is...