22Compute for the Variance of the given data (use formula for population)Enter your answer23What is the Standard Deviation of the given data?Enter your answer24What can be concluded regarding the distribution of the data?a. It has a relatively Normal Distributionb. It is highly skewed to the leftc. The distribution is very flatd. All of the above 18The following data will be used for questions under Measures of Central Tendency,Location and Variability: 26, 33, 30, 28, 26, 32, 29, 33, 36, 34, 34, 31, 29, 29, 26, 31,35, 35, 27, 28, 30, 30, 29, 31, 27, 23, 19, 16, 13, 20, 20, 25, 24, 21, 26, 26, 26, 23, 23,20, 24, 25, 22, 26, 24, 21, 18, 15, 16, 25

Answered: 22 Compute for the Variance of 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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Suppose you calculate a z-score of -2.2 and the distribution is normal. Then which of the following is a correct interpretation? Group of answer choices None of the above are justified interpretations The observation is about 2.2 standard deviations less than the mean. This means it is less than all but roughly 2.5% of the observations. The observation is about 2.2 times the variance less than the mean. This means it is less than all but roughly 5% of the observations The observation is about 2.2 times the variance less than the mean. This means it is less than all but roughly 2.5% of the observations. The observation is about 2.2 standard deviations less than the mean. This means it is less than all but roughly 5% of the observations.
Please give handwritten
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…
A population of N = 5 scores has a mean of u = 20 and a standard deviation of o = 4. Which of the following is the correct Interpretation of the standard deviation? O The average distance of scores from the mean of p- 20 is 5 points. O The average distance of scores from the mean of u = 20 is 1 point. The average distance of scores from the mean of u = 20 is 4 points. O The average squared distance of scores from the mean of u = 20 is 4 points.
: Which one of the following statements is True? The units of the Variance are the same as the original data. The Mean can be found from a Box Plot. Relative Frequency equals Frequency multiplied by Total Frequency. An Ogive chart increases in height from left to right. For a unimodal mound shaped distribution that is Skewed Left the Mean is greater than the Median.
The avg. … (please complete only part c and d the rest is completed)
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Which of the statements below is true about the standard error of the sampling distribution of the sample mean. It measures the variabilty of the mean from sample to sample. It is less than the standard deviation of the population. All of the above. It decreases as the sample size increases.
i need perfect answer for g , h and i
Which statements regarding the mean and standard deviation are TRUE? I. As the number of measurements increases, approaches µ if there is no random error. II. The square of the standard deviation is the average deviation. III. The mean is the center of the Gaussian distribution. IV. The standard deviation measures the width of the Gaussian distribution. I and II ○ III and IV ○ II, III, and IV O I, III, and IV O I, II, and IV
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