A null hypothesis for a goodness-of-fit test and a frequency table from a sample are given.Ho : Pa = 0.1, P, = 0.31, p. = 0.2. Pa = 0.19, p, = 0.1, pf = 0.1H: Some p, is wrongABDEF271963653 583 280 250(a) Find the expected count for the category labeled B.The expected count is i(b) Find the contribution to the sum of the chi-square statistic for the category labeled B.Round your answer to three decimal places.The contribution for the category labeled B is i(c) Find the degrees of freedom for the chi-square distribution for this table.degree(s) of freedom

(a) The expected count for the category labeled B is, Expected count=Sample…

(a) Find the expected count for the category labeled B. The expected count is (b) Find the contribution to the sum of the chi-square statistic for the category labeled B. Round your answer to three decimal places. The contribution for the category labeled B is i (c) Find the degrees of freedom for the chi-square distribution for this table. degree(s) of freedom

(a) Find the expected count for the category labeled B. The expected count is (b) Find the contribution to the sum of the chi-square statistic for the category labeled B. Round your answer to three decimal places. The contribution for the category labeled B is i (c) Find the degrees of freedom for the chi-square distribution for this table. degree(s) of freedom

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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llustration 9.4. The first and third columns of Table 9.3 give the frequency distribution of the average monthly earnings of male workers. Calculate the mean earnings. TABLE 9.3. DISTRIBUTION OF MALE WORKERS BY AVERAGE MONIHLY EXPENSES (Computation of Arithmetic Mean . . . Long Method) Monthly earnings Mid-point No. of workers Rs Rs Rs m fm 3,600 5,320 6,800 9,630 20,500 23,595 34,080 42,250 27.5 - 32.5 30 120 32.5–37.5 35 152 37.5–42.5 40 170 42.5 47.5 45 214 47.5 – 52.5 50 410 52.5 57.5 55 429 57.5 62.5 60 568. 62.5-67.5 65 650 55,650 68,625 59,600 45,050 23,310 14,440 10,700 5,250 2,750 67.5 -72.5 70 795 72.5 -77.5 77.5-82.5 75 915 80 745 82.5-87.5 85 530 87.5-92.5 90 259 92.5-97.5 95 152 97.5 - 102.5 100 107 102.5--107.5 105 SO 107.5 -112.5 110 25 Σ 6,291 4, 31,1 50
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a. Use a = 0.10 to test for a statistically significantly difference between the population means for first- and fourth-round scores. What is the p-value? t-value (to 3 decimals) Degrees of freedom p-value is greater than 0.20 What is your conclusion? There is no significant difference between the mean scores for the first and final rounds. b. What is the point estimate of the difference between the two population means? (to 2 decimals) For which round is the population mean score lower? First round c. What is the margin of error for a 90% confidence interval estimate for the difference between the population means? (to 3 decimals) Could this confidence interval have been used to test the hypothesis in part (a)? Yes Explain. Use the point of the difference between the two population means and add and subtract this MOE. If zero is in the interval the difference is not statistically significant. If zero is not in the interval the difference is statistically significant.
Español A coin-operated coffee machine made by BIG Corporation was designed to discharge a mean of 7.2 ounces of coffee per cup. BIG has good reason to believe that the mean amount of coffee dispensed by the machine, u, is greater than 7.2 ounces, and plans to do a statistical test of the claim that the machine is working as designed. Technicians gather a random sample of fill amounts and find that the mean of the sample is 7.6 ounces and that the standard deviation is 0.5 ounces. Based on this information, complete the parts below. (a) What are the null hypothesis H. and the alternative hypothesis H, that should be used for the test? Ho :0 O
(a) Approximate the mean and standard deviation. Round each to two decimals. (b) Complete the last two columns in the table above for relative frequency and cumulative frequency. Round any decimals to 3 places. Do not include the zero before the decimal. For example for 0.56, enter .56 (c) What is the shape of the distribution?
Plz urgently
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z Scores LeBron James, one of the most successful basketball players of all time, has a height of 6 feet 8 inches, or 203 cm. Based on statistics from Data Set 1 “Body Data” in Appendix B, his height converts to the z score of 4.07. How many standard deviations is his height above the mean?
K The number of chocolate chips in an 18-ounce bag of chocolate chip cookies is approximately normally distributed with a mean of 1252 chips and standard deviation 129 chips. (a) What is the probability that a randomly selected bag contains between 1100 and 1400 chocolate chips, inclusive? (b) What is the probability that a randomly selected bag contains fewer than 1000 chocolate chips? (c) What proportion of bags contains more than 1200 chocolate chips? (d) What is the percentile rank of a bag that contains 1425 chocolate chips? (a) The probability that a randomly selected bag contains between 1100 and 1400 chocolate chips, inclusive, is (Round to four decimal places as needed.) (b) The probability that a randomly selected bag contains fewer than 1000 chocolate chips is (Round to four decimal places as needed.) (c) The proportion of bags that contains more than 1200 chocolate chips is (Round to four decimal places as needed.) (d) A bag that contains 1425 chocolate chips is in the…
Write up your results as you would see them in a research paper. Be sure that you include the means and standard deviations for each group in your write-up, as well as a sentence or two explaining the results