X ~ N(70, 11). Suppose that you form random samples of 25 from this distribution. Let X be the random variable of averages. Let EXbe the random variable of sums.O Part (a)O Part (b)O Part (c)O Part (d)Find the 40th percentile. (Round your answer to two decimal places.)O Part (e)Sketch the graph, shade the region, label and scale the horizontal axis for X, and find the probability. (Round your answer to four decimal places.)P(66 < X< 72) =O Part (f)Sketch the graph, shade the region, label and scale the horizontal axis for X, and find the probability. (Round your answer to four decimal places.)P(28 < X< 66) =O Part (g)Give the distribution of EX.ΣΧ-O Part (h)Find the minimum value for the upper quartile for EX. (Round your answer to two decimal places.)O Part (i)Sketch the graph, shade the region, label and scale the horizontal axis for EX, and find the probability. (Round your answer to four decimal places.)P(1650<ΣΧ< 1800) -

As per our guidelines we are suppose to answer three sub parts. Given,sanple…

Answered: X~ N(70, 11). Suppose that you form…

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 for 40 observations the variance is 50. If all the observations are increased by 20, the variance of these increased observations will beA. 2.5B. 50C. 70D. 400
When would you use a chi-square analysis A.When the variance between two groups are equal B. When the data are normally distributed C. When you only have categorical variables to analyze
You are testing the claim that the mean GPA of night students is different from the mean GPA of day students. A sample of 24 night students and 28 day students and their GPA's are recorded below. Test the claim using a 1% level of significance. Assume the population variances are unequal and that GPAs are normally distributed. Give answers to 4 decimal places. GPA-Night GPA-Day 3.05 3.38 2.91 3.02 3.27 3.4 3.29 2.73 3.3 3.24 3.35 2.69 3.39 3.25 3.52 3.33 3.39 2.33 3.25 3.51 3.08 3.07 3.27 2.9 3.32 3.48 3 2.94 3.62 2.93 3.64 3.31 3.54 2.62 3.45 2.66 3.29 3.27 3.56 2.76 3.15 2.7 3.4 3.27 3.51 2.96 3.54 2.86 3.24 2.72 2.64 3.14 What are the correct hypotheses? Note this may view better in full screen mode. Select the correct symbols in the order they appear in the problem.H0: Select an answer x̅₂ s² x̅₁ σ² μ₂ μ₁ p ? = ≠ > < ≥ ≤ Select an answer 0 μ₂ x̅₂ x̅₁ σ² p s² μ₁ H1: Select an answer σ² x̅₂ x̅₁ μ₁ μ₂…
Prob & Stat 1
The price of shares of Bank of Florida at the end of trading each day for the last year followed the normal distribution. Assume there were 240 trading days in the year. The mean price was $42.00 per share and the standard deviation was $2.25 per share. (Round z value to 2 decimal places and your final answer to 2 decimal places.) a-1. What is the probability that the end-of-day trading price is over $45.0O? X Answer is complete but not entirely correct. Probability 0.08 X %
Find the z-score that has 64.1% of the distribution's area to its right. The z-score is. (Round to two decimal places as needed.)
Find the margin of error for the given values of c, s, and n. c%3D0.95, s%3D3.6 , n 16 F Click the icon to view the t-distribution table. The margin of error is (Round to one decimal place as needed.) Get more help-
Find the margin of error for the given values of c, s, and n. c=0.90, s = 3.5, n = 6 Click the icon to view the t-distribution table. The margin of error is (Round to three decimal places as needed.)
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,…
R² is: O The ratio of the variance accounted for by the predicted values of Y to the variance accounted for by the observed values of Y. O The ratio of the variance accounted for by the observed values of Y to the variance accounted for by the predicted values of Y. O The MSR divided by the MS. O The SS, divided by the SSy.
The owner of a farmer's market was interested in determining how many oranges a person buys when they buy oranges. He asked the cashiers over a weekend to count how many oranges a person bought when they bought oranges and record this number analysis at a later time. The data is given below in the table. The random variable x represents the number of oranges purchased and P(x) represents the probability that a customer will buy x oranges. Determine the variance of the number of oranges purchased by a customer. Round to two decimal places. X P(x) 1 0.05 O A. 0.56 OB. 3.97 OC. 3.57 OD. 1.95 2 3 0.19 0.20 4 5 0.25 0.12 6 0.10 7 8 0 0.08 9 10- 0 0.01

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