MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- A researcher is interested in investigating whether living situation and pet ownership are dependent. The table below shows the results of a survey. Frequencies of Living Situation and Pet Family Single Couple Dog 98 81 81 Cat 104 76 73 Various 50 51 59 None 67 42 35 What can be concluded at the a = 0.05 significance level? %3D a. What is the correct statistical test to use? O Paired t-test O Independence O Goodness-of-Fit O Homogeneity b. What are the null and alternative hypotheses? Но: O Pet ownership and living situation are independent. O Pet ownership and living situation are dependent. O The distribution of pets is the same for each living situation. O The distribution of pets is not the same for each living situation. H1: O The distribution of pets is the same for each living situation. O Pet ownership and living situation are independent. O Pet ownership and living situation are dependent. O The distribution of pets is not the same for each living situation. (Please show your…arrow_forwardCalculate the smallest sample size required to estimate the population mean under the specifications shown below. a. confidence level 90%, σ=19, and e=6 b. confidence level 95%, σ=23, and e=0.7 c. confidence level 98%, σ=0.5, and e=1 d. confidence level 99%, σ=1.4, and e=0.6 e. confidence level 98%, σ=5, and e=arrow_forwardDetermine and from the given parameters of the population and sample size. 77, 9, n = 37 X (Round to three decimal places as needed.)arrow_forward
- 1. Consider the dataset below: 3 -574828-3-6 a) What is the sample size? b) Calculate the sample mean. c) Find the sample median. d) What is the shape of the distribution? e) Find Qi, Q and Qs.arrow_forwardB,C?arrow_forwardA sample is selected from a normal population with µ = 54 and σ = 8. Which of the following samples would be considered extreme and unrepresentative for this population? A. M = 53 and n = 81 B. M = 52 and n = 36 C. M = 53 and n = 36 D. M = 52 and n = 81arrow_forward
- 3. Can SAT scores predict college performance? Let x be a variable that represents SAT score of a computer science major, and let y be a variable that represents a student’s GPA upon graduation. A random sample of n =15 computer science majors provided their SAT scores and GPAs: x 1232 1070 1086 1287 1130 1048 1121 1095 1135 1208 1333 1160 1186 1243 1261 y 3.52 2.91 2.4 3.47 3.47 2.37 2.4 2.24 3.02 3.32 3.59 2.54 3.19 3.71 3.58 The scatter diagram for the SAT score and GPA is given below: (a) Find the sample correlation coefficient r. Truncate to two decimal places. What does the value tell you about the data? (b) Find the equation of the least squares line . Truncate to four decimal places. What does the slope mean? (c) Find the value of the coefficient of determination . Truncate to two decimal places. What does this number mean? (d) What is the predicted GPA if a computer science major got a…arrow_forwardA population consists of the following N= 6 scores: 0, 4, 6, 1, 3, and 5. Compute u and o for the population. Find the z-score for each score in the population. Transform the original population into a new population of N=6 scores with µ = 50 and o = 10.arrow_forward7arrow_forward
- 8.2-2arrow_forwardNOTE: show your solutionarrow_forward6. Given the following sample of n = 10 scores, for each individual score calculate the following: a) z-score b) a new standardized score with M = 50 and s = 20 X 19 10 2 16 13 4 11 6 18 15 X 19 10 2 6341618 15 z-score Standardized Scorearrow_forward
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