ay for patients with different categories of diagnosis. Looking at the last seven patients in each of the three major categories, the results (in terms of weeks of stay) were as follows. Using the data below, test whether the length of stay for patients vary based on category of diagnosis.  Diagnosis Category  Affective Disorders  Cognitive Disorders  Drug-related Conditio

Cris Turlock owns and manages a small business in San Francisco, California. The business provides breakfast and brunch food, via carts parked along sidewalks, to people in the business district of the city. Being an experienced businessperson, Cris provides incentives for the salespeople operating the food carts. This year, she plans to offer monetary bonuses to her salespeople based on their individual mean daily sales. Her first task is to see if there is a significant difference in the mean daily sales among the different salespeople. She chooses a "sample" of days for each salesperson and records the sales for each day. She then runs a one-way, independent-samples ANOVA test to determine whether or not she can conclude that at least one salesperson's performances is significantly different from the others. (Otherwise, she'll split the bonuses evenly among all the salespeople.) In her ANOVA, the "groups" are the different salespeople, and the variable of interest is the daily sales…

The overnight shipping business has skyrocketed in the last ten years. The single greatest predictor of a company's success is customer service. A study was conducted to determine the customer satisfaction levels for one overnight shipping business. In addition to the customer's satisfaction level, the customers were asked how often they used overnight shipping. The results are shown below in the following table: Frequency of Use High 5 per month TOTAL OO Satisfaction level Medium 140 55 25 220 320/700 25/100 295/700 0.4122 Low 10 5 5 20 A customer is chosen at random. Find the probability that the customer uses the company more than five times per month (>5) OR the customer expressed medium satisfaction with the company? TOTAL 400 200 100 700

. D. What can you conclude about whether there was a significant difference between the scores of the different training groups? Also, identify the information on the printout you used to determine your answer and explain how you used it.

For an article in a magazine, 20 different vehicles were selected to obtain data for comparison.  From each vehicle the price in dollars, the fuel economy (in miles per gallon), the number of doors, the type of vehicle (car, truck, SUV, other), and if it had all wheel drive or not.                                          ​a. What are the cases?     ​b.  List the variables and identify them as quantitative or categorical.

Periodically, Merrill Lynch customers are asked to evaluate Merrill Lynch financial consultants and services (2000 Merrill Lynch Client Satisfaction Survey). Higher ratings on the client satisfaction survey indicate better service with 7 the maximum service rating. Independent samples of service ratings for two financial consultants are summarized here. Consultant A has 10 years of experience, whereas consultant B has 1 year of experience. Use a = .05 and test to see whether the consultant with more experience has the higher population mean service rating. Consultant A Consultant B П1 По- = 16 = 10 = 6.82 6.25 х1 S1 = 0.7 = 0,8 a. State the null and alternative hypotheses Но: И1 - 12| Select Ha: 1 2Select b. Compute the value of the test statistic (to 2 decimals) c. What is the p-value? Use z-table. The p-value is Select d. What is your conclusion? Select

Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May , ). Hotel occupancy data for February in two consecutive years are as follows.   Current Year Previous Year Occupied Rooms 1,512 1,539 Total Rooms 1,800 1,900

A contributor for the local newspaper is writing an article for the weekly fitness section. To prepare for the story, she conducts a study to compare the exercise habits of people who exercise in the morning to the exercise habits of people who work out in the afternoon or evening. She selects three different health centers from which to draw her samples. The 57 people she sampled who work out in the morning have a mean of 4.8 hours of exercise each week. The 56 people surveyed who exercise in the afternoon or evening have a mean of 4.2 hours of exercise each week. Assume that the weekly exercise times have a population standard deviation of 0.8 hours for people who exercise in the morning and 0.3 hours for people who exercise in the afternoon or evening. Let Population 1 be people who exercise in the morning and Population 2 be people who exercise in the afternoon or evening. Step 1 of 2: Construct a 95 % confidence interval for the true difference between the mean amounts of time…

In the class poll from the beginning of the year, you were asked what color car you drive. The results are summarized below. aqua 3 beige/tan/gold 39 black 80 blue 44 green 21 orange 3  pink 1 purple 3 red 45 silver 63 white 74 yellow 1 What is the mode for this data set?

= ✓ D A local bank wants to study waiting times of customers. A sample of four customers is selected on successive days, and the time is measured from the point each customer enters the line to when he or she reaches the teller window. The results are shown in the data table. a. Construct a control chart for x. b. Is the process within statistical control? Click the icon to view the data. Click the icon to view a table of control chart factors. a. Construct a control chart for x. Choose the correct graph below. O A. 10- mw Sample b. Select the correct choice. Q LCL 20 3 4 5 6 7 8 9 10 Table of Control Chart Factors Table 14-2 Control Chart Constants R Chart n: Number of Observations in Subgroup 2 D₂ 0.000 0.000 0.000 2.282 0.000 2.114 0.000 2.004 0.076 0.136 0.184 0.223 B. D₂ 3.267 2.574 10- 1.924 1.864 1.816 1.777 Print Sample A. No, because there is at least one point lying outside of the region between the upper and lower control limits. x Chart A₂ 1.880 1.023 0.729 0.577 0.483…