Calculate coefficient of skewness on the basis of quartile values for the distributioninterpret the result.Daily wageNo. of workersBelow 1002081100 -150150 -300120300 -500500 -1000150130301000 –15001500 -2000Above 200010If the first four ċentral moments about the mean are respectively 0, 2.8, -2 and 24Calculate the coefficient of kurtosis and skewness and interpret the result.

The first central moment about mean is computed by μ1=∑fx-x¯n, where x¯ is the mean and n is the…

Answered: Calculate coefficient of skewness on…

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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n a sample of 13 randomly selected high school seniors, the mean score on a standardized test was 1191 and the standard deviation was 167.0 Further research suggests that the population mean score on this test for high school seniors is 1020 Does the t-value for the original sample fall between minus−t 0.99t0.99 and t 0.99t0.99? Assume that the population of test scores for high school seniors is normally distributed. Question content area bottom Part 1 The t-value of tequals=enter your response here ▼ does does not fall between minus−t 0.99t0.99 and t 0.99t0.99 because t 0.99t0.99equals=enter your response here.
The table shows the distribution of scores or 40 students on a Mathematics test. 10-12 | 13-15 Score Frequency 16-18 19-21 22-24 25-27 4 |13 9. Estimate the mean score obtained on the test. (a) (b) Estimate the probability that a student selected at andom woukl score at most 15 marks on the test. Using the scale of 1 cm to represent 1 unit on the frequency axis and 2 cm to represent 5 units on the score's axis, use graph paper to draw a frequency polygon to represent the distribution of scores shown in the table. (c)
No. of No. of workers No. of articles No. of articles workers 18 3 23 17 19 7. 24 13 20 11 25 8. 21 14 26 22 18 27 The above mentioned table gives t he number of finished articlesturne dout perday, by different number of workers in a factory. Find the mea n value and the standard deviation of the daily output of finished articl es.
College Students' Part-Time Weekly Earnings (n = 5) Hours Worked (X) Weekly Pay (Y) 9 103 15 174 19 209 16 152 35 277 a) Calculate SSxx, SSyy, and SSxy. (Leave no cells blank - be certain to enter "0" wherever required. Round your answers to 2 decimal places.) (b) Calculate the sample correlation coefficient. Check your work by using Excel's function =CORREL(array1, array2). (Round your answer to 4 decimal places.) (c) Find t.025 for a two-tailed test for zero correlation at α=0.05α=0.05 . (Round your answer to 3 decimal places.) (d-1) Calculate the t test statistic. (Round your answer to 3 decimal places.) (d-2) Should we reject the null hypothesis of zero correlation? (e) Use Excel's function =T.DIST.2T(t,deg_freedom) to calculate the two-tail p-value. (Round your answer to 4 decimal places.)
Caffeine (mg) Sleep (hours) 60 8 0 8 220 5.5 100 7 80 6.5 For caffeine intake, the mean is 92 and the standard deviation is 80.75. For sleep, the mean is 7 and the standard deviation is 1.06. Calculate the linear correlation coefficient r by hand for this set of paired data values using r=(z_x-z_y)/(n-1). Show your work. Is the value of r statistically significant? Use Pearson's r table to justify your answer. Does the value for r and the statistical significance indicate a positive linear correlation, a negative linear correlation, or no linear correlation between the variables caffeine intake and hours of sleep? What does this mean in context?
How to use a power calculator to compute power for the t distribution?
The data below was taken from the fat (g) and sodium (mg) found in different types of food found at fast food restaurants. 19 31 34 35 39 39 43 _y 920 1310 860 1180 940 1260 1500 a) Find the p-value to determine if there is a linear correlation between fat (g) and sodium (mg). Record the p-value below. Round to four decimal places. p-value = b) Is there a linear correlation between fat (g) and sodium (mg)? c) If there is a linear correation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. d) If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places. e) Using the data shown above, predict the the sodium found in fast food when the fat is 32 g. Round your final answer to two decimal places. f) If there is a linear correlation, what percentage of variation in sodium (mg) can be explained by fat (g)? If there is not a linear correlation, leave…
Z-Score for Female and Male Gender Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Female Male male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Male Midterm 74.5 84.5 95 95 95 95 84.5 84.5 95 84.5 95 84.5 84.5 64.5 95 84.5 84.5 95 74.5 54.5 74.5 74.5 74.5 84.5 74.5 84.5 84.5 84.5 84.5 74.5 84.5 64.5 95 74.5 74.5 84.5 84.5 74.5 74.5 74.5 84.5 74.5 84.5 64.5 54.5 84.5 64.5 95 95 54.5 74.5 95 84.5
The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a=0.01. Hours, x Test score, y Click here to view a table of critical values for Student's t-distribution. 0 43 1 2 4 4 5 5 41 53 48 60 66 72 Setup the hypothesis for the test. Ho: P 0 HP YO Calculate the test statistic. There Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) OA. The critical values are -to = and to = OB. The critical value is t= (Round to three decimal places as needed.) What is your conclusion? 6 82 7 8 80 95 enough evidence at the 1% level of significance to conclude that there a significant linear correlation between hours spent studying and test score.
The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a = 0.05. Hours, x Test score, y 2 50 55 E Click here to view a table of critical values for Student's t-distribution. 1 4 4 5 7 8 39 47 65 67 76 78 83 95 Setup the hypothesis for the test. Họ: p 0 Ha: p Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) O A. The critical value is O B. The critical values are - to = and to = Calculate the test statistic. t= (Round to three decimal places as needed.) What is your conclusion? There enough evidence at the 5% level of significance to conclude that there a significant linear correlation between hours spent studying and test score. is or is not isNot
6. Interval estimation when o is unknown (the data “Alcohol" is provided) Consumption of alcoholic beverages by young women of drinking age has been increas- ing in the United Kingdom, the United States, and Europe (The Wall Street Journal, Feb- ruary 15, 2006). Data (annual consumption in liters) consistent with the findings reported in The Wall Street Journal article are shown for a sample of 20 European young women. 266 82 199 174 97 170 222 115 130 169 164 102 113 171 93 93 110 130 Assuming the population is roughly symmetric, construct a 95% confidence interval for the mean annual consumption of alcoholic beverages by European young women.
Please find Percentile ranking

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