A bank is opening a new branch in one of neighborhoods.One of factors considered by the bank was whether theaverage monthly family income (in thousand pesos) in thetwo neighborhoods differed. From census records, thebank drew two random samples of 100 families each andobtained the following information:Sample A: x = 10,800; ơ =300; n = 100%3D%3DSample B: x2 = 10,300; 02 = 400; n2 = 100%3D%3D%3DThe bank claims that the two neighborhoods have thesame mean income. Is the bank correct? Test thehypothesis using a = 0.10.

There is always some contention about the value of a parameter or the relationship between…

Answered: A bank is opening a new branch in one…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Suppose we want to test whether or not the average SAT score at the University of Seychelles is significantly larger than the average SAT score at Vermont. Taking a random sample, we manage to get the following seven scores from Vermont students: Vermont: 1340 1500 1430 1440 1380 1470 1290 and the following nine scores from Seychelles students: Seychelles: 1540 1480 1390 1450 1440 1350 1520 1400 1600 Assuming that the standard deviation in SAT scores for students at Seychelles and Vermont is the same and equal to 77 points, test at the α=:05 significance level whether or not the average SAT score atthe University of Seychelles is larger than the average SAT score at Vermont.
As practiced by many in buying skirts or pants, they use the neckline to check if the waistline of the skirts or pants fits them. We would like to study this claim by using a random sample of neckline and waistline of 15 people. The data collected are summarized as follows: Subject 1 2 3 4 5 6 7 8 9 10 11 12 14 15 13 Neckline 35 34 38 45 38 33 38 42 44 33 35 31 33 35 30 (cm) Waistline(cm) 83 97 100 86 82 77 82 91 62 93 57 67 93 57 3-4. The regression equation is: Waistline' = - 3.9964 2.30321 neckline 5. Using the regression equation/model for waistline in Number 3-4, estimate the waistline if the neckline of a person is 37 cm. Round off final answer to two decimal places. 6-8. Solve for the coefficient of determination, r2 (Express the answer in percentage form, r2 x 100%; Round off final answers to two decimal places): E(y/ – 9)² = E(y – 9)² = 9. Solve for the coefficient of nondetermination (Express the answer in percentage form; Round off final answer to two decimal places):
table 1 gives flight arrival numbers from a random sample of flights for airlines. Airline 1 early =133 on-time = 416+ late =150 total 699.. Airline 2 early =58 on-time =354 late =87 total =499. total early = 191 on-time =770 late =237 overall total =1198 . Test whether there is a difference between the two airlines in the percent of flights that arrive late. FIND THE RELEVANT SAMPLE PROPORTIONS IN EACH GROUP AND THE POOLED PROPORTION. P HAT 1= ? P HAT 2= ? P HAT = ? STATE THE NULL AND THE ALTERNATIVE HYPOTHESES? GIVE THE TEST STATISTIC AND THE P-VALUE?…
Maryland, as the four U.S. cities with the highest percentage of millionaires (Kiplinger website). Consider a sample of data that show the following number of millionaires for samples of individuals from each of the four cities. Millionaire Cannot conclude Bridgeport, CT CA San Jose, CA Yes 42 36 No 458 264 a. What is the estimate of the percentage of millionaires in each of these cities (to 1 decimal)? 0.436 Use Table 3 of Appendix B to find the p-value. The p-value is greater than 0.10 What is your conclusion? City Washington, D.C. 35 365 Bridgeport, San Jose, Washington, Lexington Park, CT D.C. MD Lexington Park, 46 27.4 Percentage, % 36.5 b. Using a = 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. What is the p-value? Compute the value of the x² test statistic (to 3 decimals). 36.5 MD 33 367 that there is a difference among the population proportion of millionaires for these four cities.
Mason is conducting a study on the effect of computer-based training on the math ability of seventh-graders. He randomly assigns one group of students to use a computer-based training method and another group of students to use workbooks. What type of analysis should be performed to determine if there is a difference between the two conditions? Group of answer choices A) paired samples t test B) Pearson's correlation C) independent samples t test D) z test
In a study comparing banks in two countries, a sample of 142 matched pairs of banks was formed. Each pair contained one bank from country x and one from country y. The pairings were made in such a way that the two members were as similar as possible in regard to such factors as size and age. The ratio of total loans outstanding to total assets was calculated for each of the banks. For this ratio, the sample mean difference (country x - country y) was 0.0579, and the sample standard deviation of the differences was 0.3086. Test, against a two-sided alternative, the null hypothesis that the two population means are equal. (Assume α = 0.01.) Click the icon to view the critical values of the Student's t distribution. Which of the following correctly states Ho and H₁ ? A. Ho: Mx Hy = 0 H₁: Hx-Hy >0 OC. Ho: Mx Hy ‡0 Hi HxHy=0 - O E. Ho: Mx Hy = 0 H₁: Hx-Hy <0 B. Ho: Mx Hy = 0 H₁: Hx-Hy #0 D. Ho: Hx-Hy = 0 H₁: Hx-Hy 20 OF. Ho: Mx Hy = = 0 H₁: Hx-Hy ≤0
Find the mean and median for each of the two samples, then compare the two sets of results. )A comparison is made between summer electric bills of those who have central air and those who have window units. May June July Aug Sept $65 Central $32 $59 $80 $90 Window $15 $86 $99 $120 $40 a) Central Mean b) Central Median c) Window Mean d) Window Median e) In your own words, compare the 2 electric bills of those who have central air to those who have window units. f) Explain how you found the Window Mean. g) Explain how you found the Window Median.
In a study comparing banks in two countries, a sample of 142 matched pairs of banks was formed. Each pair contained one bank from country x and one from country y. The pairings were made in such a way that the two members were as similar as possible in regard to such factors as size and age. The ratio of total loans outstanding to total assets was calculated for each of the banks. For this ratio, the sample mean difference (country x - country y) was 0.0579, and the sample standard deviation of the differences was 0.3086. Test, against a two-sided alternative, the null hypothesis that the two population means are equal. (Assume α = 0.01.) Click the icon to view the critical values of the Student's t distribution. The test statistic is t = 2.236. (Round to three decimal places as needed.) The critical value(s) is(are) (Round to three decimal places as needed. Use a comma to separate answers as needed.)
This question will be answered in four parts. Use the following sample data of chemistry test scores to answer all four parts: 88; 51; 52; 89; 66; 62; 84; 71; 72; 99; 88; 62; 72; 89; 31; 79; 77; 79; 60 Part A) Calculate the mean for the data above: Round your answer to 2 decimal places.
"Which of the following best describes a sample in statistics? A) The entire group of individuals or instances about whom we hope to learn B) A subset of the population used to represent the entire group C) The variable being measured in a study D) The procedure used to collect data"
The single sample z test may be used to determine: a)the variability in the sample b)if a sample mean is different from a known population mean c)if two population means are different d)the variability in the population of sample means
Samuel F.B. Morse (1791-1872), the creator of the Morse Code, claimed that 12 % of all letters used in English language were "e"s. Suppose random samples of 196 letters are selected from a book. Use this information to answer question below.

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