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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middle of a distribution of numbers‚ such that half the cases are higher and half lower than a value. What statistical measure should he use? A. mean B. median* C. mode D. standard deviation 3. A "codebook" is A. only used in existing statistics research. B. a document that tells the researcher where variables are located in the data file and what numbers go with variable attributes* C. the set of instructions that tell interviewers or experimenters how to treat respondents or subjects
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Statistics Test Pearson’s correlation test Correlation is a technique for investigating the relationship between two quantitative‚ continuous variables‚ for example‚ age and blood pressure. Pearson’s correlation coefficient (r) is a measure of the strength of the association between the two variables. The nearer the scatter of points is to a straight line‚ the higher the strength of association between the variables. Also‚ it does not matter what measurement units are used (URL1)
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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 12.79 hours which is a difference of less than 2 hours with a SD of 7.78 for experimental and 7.2 for control. 5. The experimental and control groups were similar in the type of feeding. More people
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Sohal‚ S 04/05/11 (HLT-362 V) Applied Statistics for Healthcare Professionals Exercise 18 Q1. Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between ( - 53.68‚ 64.64)‚where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. Answer: Mean of weight relative to ideal = 5.48 and Standard Deviation (σ) = 22.93. Calculation: (x bar) 1.96(σ) 5.48± 1.96(22.93) 5.48 - 1.96(22.93)
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your work for full credit. All answers must be supported by correct work to receive full credit. SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Solve the problem. 1) Multiple-choice questions on a test each have 4 possible answers‚ one of which is correct. Assume that you guess the answers to 4 such questions. a. Use the multiplication rule to find the probability that the first two guesses are wrong and the third and fourth guesses are correct.
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Sample Paper Mid Term Examination All questions carry equal marks (4 Marks Each) Q.No. 1 a) i) Suppose you are an operations manager for a plant that manufactures batteries. Give an example how you could use descriptive statistics to make better managerial decisions. ii) Listed here are 30 different weekly Dow Jones industrial stock averages. 2656 2301 2975 3002 2468 2742 2830 2405 2677 2990 2200 2764 2337 2961 3010 2976 2375 2602 2670 2922 2344 2760 2555 2524 2814 2996 2437 2268 2448 2460 Construct
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set of items or people that a researcher is interested in studying. Sample: a subset of the population- random or nonrandom. Goal is to be representative of population.Criteria for evaluating causal relationships. Time order: which comes first (independent comes first). Theory: does it make sense. Covartiation: change in one and change in the other‚ will the two move together. Nonspurioussness: no alternative example. Mean- use when #’s are in interval and no outliers. Median-not sensitive to outliers
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Elements of a Test of Hypothesis 1. Null Hypothesis (H0 ) - A statement about the values of population parameters which we accept until proven false. 2. Alternative or Research Hypothesis (Ha )- A statement that contradicts the null hypothesis. It represents researcher’s claim about the population parameters. This will be accepted only when data provides sufficient evidence to establish its truth. 3. Test Statistic - A sample statistic (often a formula) that is used to decide whether to reject H0
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Applied Statistics at Grand Canyon University Exercise 20 from Workbook 1. Which patient scored the highest on the preoperative CVLT Acquisition? What was his or her T score? The 3rd patient scored 63 which is the highest CVLT T-score. 2. Which patient scored the lowest on postoperative CVLT Retrieval? What was this patient’s T score? The 4th patient scored the lowest on the postoperative CVLT Retrieval with a score of 23. 3. Did the patient in Question 2 have more of a memory
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