Chapter 11 Questions to be graded: 5. Were the experimental and control groups similar in their type of feeding? Provide a rationale for your answer. Answer: Yes the experimental and control groups are similar in their feeding type because 40.6% in the experimental group decided to breast-feed‚ and 41.7% in the control group decided to breast-feed‚ that’s only 1.1% difference. 53.1% of the experimental group bottle-fed while 50.0% of the control group bottle-fed‚ a small 3.1% difference. Finally
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PEARSON’S PRODUCT-MOMENT CORRELATION COEFFICIENT ANSWERS TO EXERCISE 23 Question 1 The r value for the relationship between Hamstring strength index 60o and the Shuttle run test is -0.149. This r value shows a weak correlation between the two variables‚ as it is less than the 0.3 threshold for significance. Therefore‚ the r value is not significant. Question 2 Between r=1.00 and r=-1.00‚ there is no difference in terms of strength. Both values are on the extreme ends of the spectrum and signify
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QUESTION 21 The finishing process on new furniture leaves slight blemishes. The table below displays a manager’s probability assessment of the number of blemishes on one piece of new furniture. Number of Blemishes 0 1 2 3 4 5 Probability 0.34 0.25 0.19 0.11 0.07 0.04 1. On average‚ how many blemishes do we expect on one piece of new furniture? 2. What is the variance of blemishes on one piece of new furniture? (round to the nearest hundredth) QUESTION 22 The probability
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EXERCISE 36 6. Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group? Provide rationale for your answer. ANOVA cannot be used to test proposed relationships or predicted correlations between variables in a single group because it is designed to test for correlations and interactions amongst groups‚ i.e. in the test group of patients with OA you are testing the correlations between those who do not use GI and PMR and those that do. Although
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standard deviation were used to describe the length of labor. These were appropriate since mean and standard deviation can be calculated on an interval level of measurement. 3. Range could also be used to describe the length of labor since this statistic can be used on interval data with no natural zero point. 4. The distribution of scores was similar for the experimental and control groups for length of labor. The experimental group had a mean of 14.63 hours and the control group had a mean of
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1. A density curve consists of a straight line segment that begins at the origin (0‚ 0) and has slope of 1. a. Sketch this density curve. What are the coordinates of the right endpoint of the segment? (Note that the right endpoint should be fixed so that the total area under the curve is 1. This is required for a valid density curve.) b. Determine the median‚ the first quartile (Q1)‚ and the third quartile (Q3). c. Relative to the median‚ where would you expect the mean of the distribution to lie
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Class: HTL-362V-0104 EXERCISE 20 1. Which patient scored the highest on the preoperative CVLT Acquisition? What was his or her T score? Patient 3 scored highest on the preoperative CVLT Acquisition with a T score of 62 2. Which patient scored the lowest on postoperative CVLT Retrieval? What was this patient’s T score? Patient 4 scored lowest on the postoperative CVLT Retrieval with a T score of 23 3. Did the patient in Question 2 have more of a memory performance decline than average on
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1. Were the groups in this study independent or dependent? Provide a rationale for your answer. Independently due to the data being collected independently 2. t = −3.15 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer. t = -3.15 describes mental health in this study. This is significant because mental health plays a big role in the outcome of MI patients. 3. Is t = −1.99 significant? Provide a
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Elementary Statistics Chapter 1 Test - Form A Name:___________________________ Course Number: __________ Section Number: _____ SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Provide an appropriate response. 1) Define the terms population‚ sample‚ parameter and statistic. How does a census compare to a sample? MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Identify the number as either
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Chapter 8 Answers Stat 2601 M & S 357-358 (ELEMENTS) 8.11‚ 8.13‚ 8.14 M & S 363-364 (LARGE SAMPLE) 8.24‚ 8.26‚ 8.29‚ 8.30‚ 8.32 M & S 371-372 (P-VALUE) 8.48‚ 8.51 M & S 378-379 (SMALL SAMPLE) 8.66‚ 8.67‚ 8.68 M & S 383-386 (PROPORTIONS) 8.74‚ 8.78‚ 8.80 M & S 392-394 (POWER OF A TEST) 8.95 M & S 397-401 (POPULATION VARIANCE) 8.111‚ 8.113 8.11 (2 points) Use of herbal therapy. According to the Journal of Advanced Nursing (January 2001)‚ 45% of senior women (i.e.‚ women
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