**Simulation Tool for Understanding Binomial Distributions**This tool is designed to help students grasp the concept of binomial distributions through simulations. **Parameters:**- **Probability of success (π):** 0.15- **Sample size (n):** 210- **Number of samples:** 1000**Features:**- **Animate:** Check this box to see an animation of the sampling process.- **Draw Samples:** Click this button to generate samples.**Options:**- **Number of successes:** Toggle to view results in terms of the number of successes.- **Proportion of successes:** Toggle to view results in terms of the proportion of successes.**Settings:**- **As extreme as ≤ :** Field is set to 0.0857. Use this to find samples with proportions as extreme.- **Count:** Click to count occurrences.- **Proportion of samples:** `(6 + 1) / 1000 = 0.0070`**Graph Explanation:**The graph displays a histogram of the proportion of successes in the samples, with a smooth curve overlay representing the distribution. - **X-axis:** Proportion of successes- **Y-axis:** Frequency of each proportion- **Red lines:** Indicate critical values (≤ 0.0857 and ≥ 0.2238)- **Highlighted Area:** Proportion of samples with values as extreme as specified.**Additional Settings:**- **Two-sided (between):** Calculates two-sided probabilities.- **Exact Binomial:** Uses the exact binomial distribution for calculations.- **Normal Approximation:** Utilizes normal approximation methods.- **Summary Stats:** Option to view summary statistics.- **Show previous/Show sliders:** Toggles to view previous settings or to display parameter sliders for adjustments.This interactive tool provides a visual and practical approach to understanding probability distributions and statistical significance. ### Statistical Analysis Exercise**(d) What is the p-value from the simulated distribution of sample statistics?**- ○ .0857- ○ .2238- ○ .0091- ○ .007**(e) What is the p-value from the theory-based distribution of sample statistics?**- ○ .2238- ○ .0857- ○ .007- ○ .0091**(f) The conclusion we should make is…**- ○ It is plausible that the true population parameter is π = 0.15.- ○ It is plausible that the true population parameter is π = 0.0857.- ○ We have strong evidence that the true population parameter is different than π = 0.15.- ○ We have strong evidence that the true population parameter is different than π = 0.0857.

Answered: Image /qna-images/answer/5041626c-220b-4659-8d02-dde34f4db481.jpg

Answered: (d) What is the p-value from the…

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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24. Which of the following statements, if any, are correct? ) The sample mean is always normally distributed (i) The standard error can be defined as the standard deviation of an estimator (i) The standard deviation of the sampling distribution is always higher than the standard deviation of the population None of them (1) only (1) and (ii) (ii) only (ii) and (iii) OOO
(c) After you obtain your ten observations, you compute the mean number of hours of sleep. Is this a statistic or a parameter? Why?
THIS IS ALL 1 PROBLEM ON OUR EXAMPLES A random sample of size n = 225 is taken from a population with a population proportion p = 0.55. (You may find it useful to reference the z table.) a. Calculate the expected value and the standard error for the sampling distribution of the sample proportion. (Round "expected value" to 2 decimal places and "standard error" to 4 decimal places.) Expected Value= I THINK THIS IS 123.75 PLEASE EXPLAIN IF WRONG Standard Error= I THINK THIS IS .0011 b. What is the probability that the sample proportion is between 0.50 and 0.60? (Round “z” value to 2 decimal places, and final answer to 4 decimal places.) Probability= I got .0006 but think may be wrong c. What is the probability that the sample proportion is less than 0.50? (Round “z” value to 2 decimal places, and final answer to 4 decimal places.) Probability= rev: 10_10_2019_QC_CS-185589
et's look at attendance between the two leagues and draw some conclusions. For purposes parts D and E, we are assuming that separating the data into 2 groups based on League is considered sampling; thus, we have 2 samples (American League and National League) and assume we do NOT know the population standard deviations for both "populations" (we only have 1 overall population, not 2). What was the average attendance in each league? Round your answer to 3 decimal places. American League average attendance mil National League average attendance mil space space Perform a hypothesis test to determine whether there is a difference in the mean attendance of teams in the American League vs teams in the National League. Use a 0.05 level of significance in your testing procedures. Additionally: You will need to know the standard deviations and variances for attendance in each league to conduct this test. We are assuming that both American and National League attendance…
1. Student's t test for correlated groups really reduces to _________. a. the sign test b. Student's t test for single samples using difference scores c. Students t test for independent groups d. none of the above 2. The z test for independent groups is seldom used because _________. it lacks sensitivity it is too complicated we seldom know the population variances the sampling distribution of z under H0 is unknown 3. In a t test, when the size of the sample is increased, the confidence interval _________. increases decreases stays the same changes shape a and d 4. As the df increases, the t distribution _________. gets more symmetrical approaches the normal distribution stays the same becomes more skewed
Question * The size of an ear of wheat in a field is modeled by a random variable X with normal distribution N(15,6). What is the probability for an ear to be greater than 16cm? 0.5675 0.5636 0.4325 0.5 Question Suppose we are interested in finding a 95% confidence interval for the mean SAT Verbal score of students at a certain high school. Five students are sampled, and their SAT Verbal scores are
In a recent Gallup survey of 1,012 randomly selected U.S. adults (age 18 and over), 53% said that they were dissatisfied with the quality of education students receive in kindergarten through grade 12. They also report that the "margin of sampling error is plus or minus 4%" What is the sample being used? R F O U.S. adults (age 18 and over) O 1012 randomly selected U.S. adults OU.S. adults satisfied with K-12 education O U.S. adults dissatisfied with K-12 education C e Textbook and Media Save for Later O % 18 G 7 T Y U O 8 9 TH J K L Attempts: 0 of 1 used 0 Submit Answer 55°F Backsp
17-
Is the racial distribution for students on work study different from the racial distribution for students not on work study? The results of a recent study are shown below. Frequencies of Race for Students On and Not On Work Study White Black Hispanic Asian Other Work Study 77 41 96 50 24 Not Work Study 70 79 86 73 30 α = 0.10 significance level The test-statistic for this data = (Please show your answer to three decimal places.) The p-value for this sample = (Please show your answer to four decimal places.) Thus, the final conclusion is... There is sufficient evidence to conclude that race and work study status are dependent. There is insufficient evidence to conclude that race and work study status are dependent. There is sufficient evidence to conclude that the racial distribution for students on work study is not the same as it is for students not on work study. There is insufficient evidence to conclude that the racial distribution for students on work study…
just need the last part
Question Help ▼ Test the claim about the difference between two population means u, and u, at the level of significance a. Assume the samples are random and independent, and t populations are normally distributed. Claim: µ, sH2; a = 0.05. Assume o, #o Sample statistics: X, = 2420, s, = 170, n, = 13 and X, = 2296, s, = 50, n, = 10 Identify the null and alternative hypotheses. Choose the correct answer belew. O A. Ho: H1 SH2 O B. Ho: H1 H2 O F. Ho: H1 = H2 Ha: H1 SH2 Ha: H1 # H2 Find the standardized test statistic t. t3= (Round to two decimal places as needed.) Find the P-value. P = (Round to three decimal places as needed.) Click to select your answer(s).
An estimator that tends to produce more accurate estimates of the population parameter as the sample size increases is best characterized as a(n)_____________Select one: A. A consistent estimator approaches the estimated population parameter as the sample size grows larger. B. An unbiased estimator is consistent if its standard error is lower than that of other estimators of the estimated population parameter. C. An estimator is consistent if its expected value equals the estimated population parameter. D. An estimator is consistent if it always gives the correct value of the estimated population parameter.

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