An experiment has a single factor with seven groups and two values in each group. In determining the among-group variation, there are 6 degrees of freedom. In determining the within-group variation, there are 7 degrees of freedom. In determining the total variation, there are 13 degrees of freedom. Also, note that SSA = 84, SSW = 49, SST = 133, MSA = 14, MSW = 7, and FSTAT =2. Complete parts (a) through (d). Click here to view page 1 of the F table. Click here to view page 2 of the F table. Click here to view page 3 of the F table. Click here to view page 4 of the F table. a. Construct the ANOVA summary table and fill in all values in the table. Degrees of Freedom Mean Square (Variance) Sum of Source Squares F Among groups Within groups Total (Simplify your answers.)

Select the correct number of factors and levels for this study: A researcher would like to test if strategy type affects the time to complete an exam. The researcher assigns 24 student volunteers to one of the following 3 treatment groups: a group that crams for 12 hours before exam, a group that crams for 3 days before exam, and a group that studies for 1 week before the exam. a. 3 factors, 1 level b. 3 factors, 3 levels c. 1 factor, 3 levels d. 1 factor, 1 level

We are interested in estimating the proportion of people that can identify Nebraska but not Vermont. In a class of 55 students, each student was requested to select a sample of 6 people, show each person a map of the US and ask the person to identify the states of Vermont and Nebraska. The following numbers are the counts that each student got, that is, each number is the count of people in the student sample of 6, that could identify Nebraska but not Vermont.3344010110020030002020001100002010000001000200000001010Note: You can cut and past these numbers into an excel spreadsheet to help you calculate the mean and the standard deviation and compute the confidence interval. If you have trouble pasting them, paste them to a text file first and then copy from there.When we collect all the students' data, we have a sample size of 6x55=330.Of the sample of 330 people, what proportion were able to locate Nebraska but not Vermont? (round answer to 3 decimals) Find a 95% confidence interval for…

Psychologists at Disney World measured factors that affect the scariness of the soundtrack for their Haunted House ride. In particular, they were interested in the loudness of the screams (soft versus loud) and the length of the screams (short versus long). They used a 2 × 2 factorial design to test how these factors combined. They collected data from 10 different riders in each of the four conditions. Each rider rated the scariness of the ride on a nine-point scale. short screams long screams soft screams T=38, n = 10, SS = 13.6 T=64, n = 10, SS = 22.4 loud screams T=52, n=10, SS = 29.6 T=50, n=10, SS = 16.0 For these data: G = 204, N = 40, X2 = 1156. 1. Sketch a dataplot of the mean rating in each condition. 2. Calculate SS total, the total sum of squares 3. Calculate SSwithin, the within-treatments sum of squares. 4. Calculate SSbetween, the between-treatments sum of squares. 5. Calculate SSA the sum of squares for Factor A (length of scream). 6. Calculate SSB, the sum of squares…

To determine the amount of sugar in a typical serving of breakfast cereal, a student randomly selected 60 boxes of different types of cereal from the shelves of a large grocery store. The student noticed that the side panels of some of the cereal boxes showed sugar content based on one-cup servings, while others showed sugar content based on three- quarter-cup servings. Many of the cereal boxes with side panels that showed three-quarter-cup servings were ones that appealed to young children, and the student wondered whether there might be some difference in the sugar content of the cereals that showed different-size servings on their side panels. To investigate the question, the data were separated into two groups. One group consisted of 29 cereals that showed one-cup serving sizes; the other group consisted of 31 cereals that showed three-quarter cup serving sizes. The boxplots shown below display sugar content (in grams) per serving of the cereals for each of the two serving sizes.…

A consumer group wanted to determine if there was a difference in customer perceptions about prices for a specific type of toy depending on where the toy was purchased.  In the local area there are three main retailers: W-Mart, Tag, and URToy.  For each retailer, the consumer group randomly selected 5 customers, and asked them to rate how expensive they thought the toy was on a 1-to-10 scale (1= not expensive, to 10 = very expensive). The toy was priced the same at all retail stores. 1. What kind of statistical test should be used to test the consumer group's research goal, assuming that the researcher wanted to use the 1-to-10 scale as a numerical interval measure? A. Repeated-measures t-test B. One-way Independent Measures ANOVA C. Repeated-measures ANOVA D. Independent-measures t-test   2. State the hypothesis that aims to test the consumer group’s research goal (i.e., what is H0 and HA).

A time study analyst observed a repetitive work cycle performed by a worker. During the observation, the analyst made a record of the work elements. She also made a note of the worker's performance and rated it as 95%. Back in the office, the analyst listed the basic motion elements for the task and the sum of the normal times for the basic motion elements was 1.38 minutes. The company uses a PFD allowance factor of 15%. What is the standard time for the task? Tstd 1.225 minutes/unit Tstd 1.587 minutes/unit Tstd 0.625 minutes/unit Tstd 1.959 minutes/unit =

If there are 65 successes of 150 trials in the one group, and 115 successes of 200 in another, test if the groups significantly different? Use ? = 0.05.

Suppose that a researcher is studying the wingspans of wild condors. To study this the researcher randomly selects 7 condors that live near the California Coast and 7 condors that live near the Grand Canyon for a total of 14 condors. The researcher measures the wingspan of each of these birds in inches and gets the following data. (Note: You may assume that there are about 400 condors in the wild) 94, 100, 102, 110, 115, 118, 119, 122, 123, 126, 128, 135, 136, 140 (All values in inches) (a) What sampling technique was used to collect this data? (b) Use this data to construct a 99% confidence interval for the average wingspan for California condors. Make sure to confirm all necessary conditions and interpret your interval. (Hint: This should be a 1-sample mean confidence interval) (c) Could you conclude that 99% of California condors will have wingspans inside the interval you found in (b)? Why or why not?