Weights, in kgm. of 10 students, are given below :53,38,40,45,47,43,55,48,52,49C'an we say that variance of distribution of weights of all students from which the above sample of 10students was drawn, is equal to 20 square kg ?Degrees of freedomX'oosX0-019.16.9221-671018.3123-21

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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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appcoulasc.comy student/assessment/6260690bba413c0009752bcd/dass/62324bac98e2d6000916675a/uta/6260693c6087c00009746b15/ten Question 11/12 > NEXT A BOOKMARK Lee records the height of players on a basketball team, and calculates the mean absolute deviation of the set of data. What does the mean absolute deviation of the set of data describe? O the average height of a player on the team the height of the tallest player on the team the difference in height between the shortest and tallest player the average difference in height between each player and the mean height acer
Student's t distribution is the same for different sample sizes. a) true b) False
The range and interquartile range can be equal if there is no variability in the distribution 1) True 2) False
To test the null hypothesis that the difference between two population proportions is equaluse StatCrunch or the formulaz =(p1 (carat) - p2 (Carat) / (Sq root) p1 (carat) (1 - p1 (carat)/n1 + p2(carat) (1 - p2(carat))/n2As long as n1 and n2 are both large, the sampling distribution of the test statistic z will beapproximately the standard normal distribution. Given the sample data below, test the claim that the proportion of female voters who plan to vote Republican at the next presidential election is less than the percentage of male voters who plan to vote Republican. Use the traditional method of hypothesis testing and use a significance level of 0.05.Men: n1 = 250, x1 = 146, p1(carat)=.584Women: n2 = 309, x2 = 103, p2(carat) = .333 3)a. Write the null and alternative hypotheses to test this claim. b. What is the value of the test statistic? Show you work.c. What is the associated P-value? d. State your conclusion and explain in context using ΅ = 0.05.
the central limit theorem informs the numerator of the z- score for the sample means equation. true or false?
الوقت المتبقي: 41 دقائق، 04 ثانية )نوان(. :dlil Jlas! JL « » يقوم الانتقال إلى سؤال آخر بحفظ هذا الرد. 2 درجات 23 Jlgull A fisheries researcher wishes to test for a difference in mean weights of a single species of fish caught by fishermen in three different lakes in Nova Scotia. The significance level for the test will be 0.05. Complete the following partial ANOVA table and use it to answer questions. Source d.f Sum of squares Mean squares F-value Between Groups 17.04 Within Groups (Error) 9 Total 31.23 The value of F (test) for this test is: 0.1854 2.00 O 5.40 O 8.52 eT:19 ) へ 3.
The gestation period of humans follows a normal distribution with a mean of 266 days and standard deviation of 16 days. If random samples of 15 pregnancies are studied, what is the mean and standard error of th sampling distribution of the sample mean? mean of the sampling distribution [ Choose ] standard error of the sampling distribution [ Choose ]
2. Random variable G is known to be exponential (^) and is known to have >2. 500 samples of the random variable are averaged together producing an average (sample mean) of 0.2. a. Taking the worst-case variance, what is the confidence coefficient (probability) that µg lies between 0.15 and 0.25? b. Using the estimate of the mean to estimate the variance, what is the confidence coefficient (probability) that µG lies between 0.15 and 0.25? C. Using the worst-case variance, but assuming that the sample mean is Gaussian, what is the confidence coefficient (probability) that µG lies between 0.15 and 0.25?
The repeated-measures analysis of variance statistic is a parametric test that allows researchers to determine whether the means of O two or more measures from different people are similar or different O three or more measures from the same person are similar or different O two measures from the same person are similar or different O three or more measures from different people are similar or different « Previous Next to search ASUS VivoBook f6 f9 home f12 Pgdn prt sc f10 end PSUp וג} %23 & * 2 3 4 5 6 7 8. E R Y U P LL
Histogram of random samples data are often used as an indication of the shape of the underlying population distribution. The histograms on the next page are based on random samples of 30, 50 and 100 from the same population. A) Using the midpoint labels of the three histograms, what wouldyou say about the estimated range of the population data from the smallest to largest? Does the bulk of the data seem to be between8 and 12 in all histogram? B) The population distribution from which the sample were drawn in symmetric and mound-shaped, with the top of the mound at 10.95% of the data between 8 and 12 and 99.7% of data between 7 and 13. How well does each histogram reflect these characteristics?
8. pu) A fast-food company advertises that the pre-cooked weight for its half-pound burgers is, on average, 0.5 Ibs. The company runs a regular quality control test that involves weighing a sample of burgers to see if the mean weight is significantly different than 0.5 lbs. Tina takes a random sample of 31 burgers from a batch of over a thousand burgers. She finds the sample mean weight of the burgers to be 0.54 Ibs with a standard deviation of 0.1 Ibs. She wants to use these sample data to test whether the mean weight of their burgers is significantly different than 0.5 lbs at the 5% significance level. (A) Let u be the population mean weight of the burgers. Set up the null- and alternative hypothesis. Ho: H1: (B) Find the value of the test statistic. (Show all work and include the formula for the test statistic). (C) Find the critical value. (D) The conclusion is (circle exactly one answer) (1) Fail to reject Ho. (II) Reject Ho.
Employees of a state university system can choose from among four different health plans. Each plan differs somewhat from the others in terms of hospitalization coverage. Four random samples of recently hospitalized individuals were selected, each sample consisting of people covered by a different health plan. The length of the hospital stay (number of days) was determined for each individual selected. USE SALT (a) What hypotheses would you test to decide whether the mean lengths of stay are not the same for all four health plans? (Let μ₁, M₂, M3, and 4 be the true mean length of hospital stay for the four different health plans.) OH₁ H₁ = ₂ = μ3 = μ4 H₂: all four of the u.'s are different O Ho: M₁ M₂ # μ3 = μ4 H₂ : at least one pair of the four μ's are the same O Ho: M₁ = ₂ = μ3 = μ4 H₂: at least one pair of the four u.'s are different O Ho: all four of the μ's are different H₂ M₁ = M₂ = H3 = μ²4 O Ho: at least one pair of the four μ's are different H₂ : M₁ = M₂ = μ3 = μ4 (b) If each…

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» Weights, in kgm. of 10 students, are given below : 38, 40, 45, 53, 47, 43, C'an we say that variance of distribution of weights of all students from which the above sample of 10 55, 48. 52, 49 students was drawn, is equal to 20 square kg ? Degrees of freedom 16-92 21-67 10 18:31 23-21