DAT 565 DAT565 DAT/565 ENTIRE COURSE HELP – UNIVERSITY OF PHOENIX
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DAT 565 DAT565 DAT/565 ENTIRE COURSE HELP – UNIVERSITY OF PHOENIX
DAT 565 Practice Week 1 Exercise
DAT 565 Practice Week 2 Exercise
DAT 565 Practice Week 2 Knowledge Check
DAT 565 Practice Week 3 Exercise
DAT 565 Practice Week 3 Knowledge Check
DAT 565 Practice Week 4 Exercise
DAT 565 Practice Week 4 Knowledge Check
DAT 565 Practice Week 5 Exercise
DAT 565 Practice Week 5 Knowledge Check
DAT 565 Practice Week 6 Exercise
DAT 565 Practice Week 6 Knowledge Check
DAT 565 Week 1 Apply Statistics Analysis
DAT 565 Week 1 Discussion Data Analytics and Statistics
DAT 565 Week 2 Apply Signature Assignment Statistical Report
DAT 565 Week 2 Discussion Metrics and Information Visualization 1
DAT 565 Week 3 Apply Market Analysis Research
DAT 565 Week 3 Discussion Characterizing Uncertainty
DAT 565 Week 4 Apply Signature Assignment Globalization and Information Research
DAT 565 Week 4 Discussion Testing Hypotheses 1
DAT 565 Week 5 Apply Regression Modeling
DAT 565 Week 5 Discussion Patterns and Modeling
DAT 565 Week 6 Apply Signature Assignment Smart Parking Space App Presentation
DAT 565 Week 6 Discussion Time Series Modeling
Description
DAT 565 DAT565 DAT/565 ENTIRE COURSE HELP – UNIVERSITY OF PHOENIX
DAT 565 Practice Week 1 Exercise
DAT 565 Practice Week 2 Exercise
DAT 565 Practice Week 2 Knowledge Check
DAT 565 Practice Week 3 Exercise
DAT 565 Practice Week 3 Knowledge Check
DAT 565 Practice Week 4 Exercise
DAT 565 Practice Week 4 Knowledge Check
DAT 565 Practice Week 5 Exercise
DAT 565 Practice Week 5 Knowledge Check
DAT 565 Practice Week 6 Exercise
DAT 565 Practice Week 6 Knowledge Check
DAT 565 Week 1 Apply Statistics Analysis
DAT 565 Week 1 Discussion Data Analytics and Statistics
DAT 565 Week 2 Apply Signature Assignment Statistical Report
DAT 565 Week 2 Discussion Metrics and Information Visualization 1
DAT 565 Week 3 Apply Market Analysis Research
DAT 565 Week 3 Discussion Characterizing Uncertainty
DAT 565 Week 4 Apply Signature Assignment Globalization and Information Research
DAT 565 Week 4 Discussion Testing Hypotheses 1
DAT 565 Week 5 Apply Regression Modeling
DAT 565 Week 5 Discussion Patterns and Modeling
DAT 565 Week 6 Apply Signature Assignment Smart Parking Space App Presentation
DAT 565 Week 6 Discussion Time Series Modeling
DAT 565 DAT565 DAT/565 ENTIRE COURSE HELP – UNIVERSITY OF PHOENIX
DAT 565 Practice Week 1 Exercise
1) Prepare a frequency distribution using a bin width equal to 0.05.
2) Select the histogram that best represents the given data.
3) Examine the histogram that best represents the data. Which statement best describes the distribution?
4) Prepare a frequency distribution using a bin width equal to 0.10.
5) Select the histogram that best represents the given data.
6) Examine the histogram that best represents the data. Which statement best describes the distribution?
7) What was the proportion of all 48 moviegoers who were under age 35?
8) Which measurement level (nominal, ordinal, interval, ratio) is each of the following variables?
9) Which measurement level (nominal, ordinal, interval, ratio) is each of the following variables?
10) Below are five questions from a survey of MBA students. For each question, state the data type (categorical, discrete numerical, or continuous numerical) and measurement level (nominal, ordinal, interval, ratio).
11) Construct a stem-and-leaf plot for the number of defects per 100 vehicles for these 32 brands.
12) Select a dot plot of the defects data.
13) The Graduate Management Admission Test (GMAT) is used by many graduate schools of business as one of their admission criteria. Using your own reasoning and concepts in this chapter, criticize each of the following conclusions.
14) Analysis of 1,064 deaths of famous popular musicians showed that 31 percent were related to alcohol or drug abuse. “But that is just a sample. It proves nothing,” said Hannah.
Do you agree with Hannah’s conclusion?
15) Select the line chart of the skier/snowboarder data.
16) Describe the pattern, if any.
17) Construct a frequency distribution and histogram, using nice (round) bin limits.
18) The U.S. Postal Service will ship a Priority Mail® Large Flat Rate Box (12″ × 12″ × 5½”) anywhere in the United States for a fixed price, regardless of weight.
19) Identify the following data as either time series or cross-sectional.
20) Identify the following data as either time series or cross-sectional.
21) A study of 40 U.S. cardiac care centers showed the following ratios of nurses to beds.
22) Prepare a frequency distribution
23) A European study of thousands of men found that the PSA screening for prostate cancer reduced the risk of a man’s dying from prostate cancer from 3.0 percent to 2.4 percent. “But it’s already a small risk. I don’t think a difference of less than 1 percent would be of practical importance,” said Ed.
Do you agree with Ed’s conclusion?
24) Analysis of 1,064 deaths of famous popular musicians showed that 31 percent were related to alcohol or drug abuse. “But that is just a sample. It proves nothing,” said Hannah.
Do you agree with Hannah’s conclusion?
25) The table shows the annual compensation of 40 randomly chosen CEOs (millions of dollars).
26) Describe the shape of the histogram.
27) A research study showed that adolescents who watched more than 4 hours of TV per day were more than five times as likely to start smoking as those who watched less than 2 hours a day. The researchers speculate that TV actors’ portrayals of smoking as personally and socially rewarding were an effective indirect method of tobacco promotion.
List the factors that you think cause adolescents to start smoking.
28) Identify the following data as either time series or cross-sectional.
29) Insurance companies are rated by several rating agencies. The Fitch 20-point scale is AAA, AA+, AA, AA–, A+, A, A–, BBB+, BBB, BBB–, BB+, BB, BB–, B+, B, B–, CCC+, CCC, CCC–, DD.
A certain health maintenance organization (HMO) is studying its daily office routine. It collects information on three variables: the number of patients who visit during a day, the patient’s complaint, and the waiting time until each patient sees a doctor.
