The graph of the waiting time (in seconds) at a red light is shown below on the left with its mean and standard deviation. Assume that a sample size of 225 is drawn from thepopulation. Decide which of the graphs labeled (a) (c) would most closely resemble the sampling distribution of the sample means. Explain your reasoning.(a)(b)(c)frequency0.04P(x)0.04-LATime (in sec.)(Type an integer or a decimal.).Arben123OF3Rel. frequency0.55(x)0-0.8250Time (in sec.)DQO5Rel. frequency0.04--20P(X)0- 12.319/350Time (in sec.)Graph most closely resembles the sampling distribution of the sample means, because µ = 0 and the graphQ5

Answered: The graph of the waiting time (in…

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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Q4: find the mean, the model, the variance and the standard deviation for the frequency distribution of profit where the data is represented the number of (35) product that sold during one day? Class limits frequency 13-19 2 20-26 7 27-33 12 34-40 5 41-47 6. 48-54 1 55-61 62-68 2
A researcher wants to check the claim that a certain species of reptile spend an average of 18.2 months in quaratine before being transported to another facility. She takes a random sample of 25 such cases from files and finds that ī = 18.9 months and the sample standard deviation, s = 3.6 months. Test the claim at the 0.1 significance level. What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.) Ho: Select an answer v months H: Select an answer v months Original claim = Select an answer v Based on the hypotheses, find the following: Test Statistic = |(Round to three decimal places and show work in the "show work" box below.) p-value = (Round to four decimal places and show work in the "show work" box below.) Critical values = ± (Round to three decimal places.)
The finite population correction is most useful for which of the following? a. It adjusts the estimated mean when the sample size is a large fraction of the population size. b. It adjusts the standard error of the mean when the sample size is a small fraction of the population size. c. It adjusts the estimated mean when the sample size is a small fraction of the population size. d. It adjusts the standard error of the mean when the sample size is a large fraction of the population size.
please answer the question in the photo thank you :)
For the residents in 2014, use R to calculate the interval with 99% certainty that the interval contains the actual population mean of the residents by census tracts. Type in the interval with keyboard. We also know that in each year, the number of residents by census tract in the State of Maryland follows a normal distribution, and the variance in the number of residents within the State of Maryland is the same for different years. POP2014: 3072, 1989, 3794, 2689, 3211, 3722, 4385, 4009, 7598, 3862, 3097, 2726, 4881, 4157, 2570, 2512, 2518, 4863, 4147, 7139, 6067, 6819, 3705, 3239, 3824, 4977, 2576, 2940, 9791, 5231, 5634, 5337, 4205, 3888, 5562, 3335, 3770, 1808, 2045, 1532, 5420, 4993, 6109, 4377, 5424, 4976, 4507, 3738, 2827, 3485, 1559, 5199, 4702, 3971, 3803, 3356, 4670, 3816, 5477, 4760, 3126, 3630, 3755, 3795, 2578, 3382, 4005, 2442, 6096, 3799, 3843, 3836, 6046, 6431, 3561, 3142, 4829, 5058, 2471, 6119, 3523, 3094, 3146, 3356, 2618, 2366, 4266, 4016, 6080, 1554, 6878, 3645,…
Find the range, variance, and standard deviation of the SAMPLE. Range : Variance: Standard Deviation: X "X" -X ̅ "(X" -X ̅)2 12 6 3 10 15 4 5 8 12 5 Total: 80 Find the range, variance, and standard deviation of the POPULATION. Range: Variance: Standard Deviation: X "X" -X ̅ "(X" -X ̅)2 12 6 3 10 15 4 5 8 12 5 Total: 80
Withdrawal symptoms may occur when a person using a painkiller suddenly stops using it. For a special type of painkiller, withdrawal symptoms occur in 1% of the cases. A random sample of 1100 people who have stopped using the painkiller is going to be taken. Let p be the proportion of people in the sample who experience withdrawal symptoms. Answer the following. (If necessary, consult a list of formulas.) (a) Find the mean of P. 0 (b) Find the standard deviation of p. 0 (c) Compute an approximation for P<0.02), which is the probability that fewer than 2% of the people in the sample experience withdrawal symptoms. Round your answer to four decimal places. 0 X
A researcher wants to investigate the effects of environmental factors on IQ scores. For an initial study, she takes a sample of 400 people who grew up as the only child. She finds that 51.5% of them have an IQ score over 100. It is known that 50% of the general population has an IQ score exceeding 100. Answer the following. (If necessary, consult a list of formulas.) (a)Find the mean of p, where p is the proportion of people with IQ scores over 100 in a random sample of 400 people. (b)Find the standard deviation of p. (c)Compute an approximation for P≥p0.515, which is the probability that there will be 51.5% or more individuals with IQ scores over 100 in a random sample of 400. Round your answer to four decimal places.
Use the Central Limit Theorem to find the mean and standard error of the mean of the sampling distribution. Then sketch a graph of the sampling distribution. The mean price of photo printers on a website is $227 with a standard deviation of $69. Random samples of size 31 are drawn from this population and the mean of each sample is determined. The mean of the distribution of sample means is nothing.
Please help me answer this
A researcher wants to investigate the effects of environmental factors on IQ scores. For an initial study, she takes a sample of 400 people who grew up as the only child. She finds that 48.5% of them have an IQ score over 100. It is known that 50% of the general population has an IQ score exceeding 100. (a) Find the mean of p, where p is the proportion of people with IQ scores over 100 in a random sample of 400 people. (b) Find the standard deviation of p. (c) Compute an approximation for P(p is greater than or equal to 0.485), which is the probability that there will be 48.5% or more individuals with IQ scores over 100 in a random sample of 400. Round answer to 4 decimal places.

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