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A random sample of 19 health maintenance organizations (HMOS) was selected. For each HMO, the co-payment (in dollars) for a doctor's office visit was recorded. The results are as follows. 12, 10, 10, 5, 6, 7, 7, 6, 12, 9, 9, 9, 11, 11, 6, 8, 7, 11, 10 Send data to calculator Send data to Excel Under the assumption that co-payment amounts are normally distributed, find a 95% confidence interval for the mean co- payment amount in dollars. Then find the lower limit and upper limit of the 95% confidence interval. Carry your intermediate computations to at least three decimal places. Round your answers to one decimal place. (If necessary, consult a list of formulas.) Lower limit:|| Upper limit:|

The interaction effect in a factorial design is considered, because it may modify the main effects of the independent variables.  True  False

Q: Consider a set of equity returns from 4 different markets across 12 different periods. Define the fourth variable as the response variable (Y) . Define the following 3 models (attached image along with questions)

In factorial designs, the response produced when the treatments of one factor interact with the treatments of another in influencing the response variable is known as?

A random sample of 17 health maintenance organizations (HMOs) was selected. For each HMO, the co-payment (in dollars) for a doctor's office visit was recorded. The results are as follows.49,56,52,51,26,27, 57, 49, 48, 31, 42, 39, 31, 30, 44,45, 29Send data to calculator    Send data to ExcelUnder the assumption that co-payment amounts are normally distributed, find a 90% confidence interval for the mean co-payment amount in dollars. Give the lower limit and upper limit of the 90% confidence interval. Carry your intermediate computations to at least three decimal places. Round your answers to one decimal place. (If necessary, consult a list of formulas.) Lower limit:       Upper limit:          A random sample of  17  health maintenance organizations (HMOs) was selected. For each HMO, the co-payment (in dollars) for a doctor's office visit was recorded. The results are as follows. 49 ,  56 ,  52 ,  51 ,  26 ,  27 ,  57 ,  49 ,  48 ,  31 ,  42 ,  39 ,  31 ,…

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Data was collected for 40 randomly selected trees growing in the median strip of a busy freeway. The height of each tree (in inches) was recorded. Data was recorded to the nearest whole inch. The data is summarized in the histogram below.   Based on this histogram, determing the minimum and maximum possible tree heights for the recorded data. Note: Each class contains its lower class boundary, but not its upper class boundary.Minimum tree height =  inchesMaximum tree height =  inches

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.

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At a stop sign, some drivers come to a full stop, some come to a `rolling stop' (not a full stop, but slow down), and some do not stop at all. We would like to test if there is an association between gender and type of stop (full, rolling, or no stop). We collect data by standing a few feet from a stop sign and taking note of type of stop and the gender of the driver. Below is a contingency table summarizing the data we collected.     Male Female Full stop 6 6 Rolling stop 16 15 No stop 4 3 If gender is not associated with type of stop, how many males would we expect to not stop at all? 6.24 5.76 3.64 3.36

Days Precipitation Yield 261 34.2 115 215 53.7 178 202 42.8 131 238 36.9 147 170 39.1 137 323 13.4 191 220 63.2 133

A market researcher for an automobile company suspects differences in preferred color between male and female buyers. Advertisements targeted to different groups should take such differences into account, if they exist. The researcher examines the most recent sales information of a particular car that comes in three colors. (You may find it useful to reference the appropriate table: chi- square table or F table) Sex of Automobile Buyer. Color Male Female Silver 477 298 Black 536 308 Red 482 348