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Q: Please answer option C
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Q: Describe about the Sampling Distribution of z.
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Q: h sampling error
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Q: just need work shown. :)
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A: FALSE
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A: A. The mean of sampling distribution of the sample mean is equal to the sample mean.
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Q: The sample size is 5, the intercept is negative and the slope is positive. a. True b. False
A: Given: n=5 intercept = -ve slope = +ve
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A: Sampling method
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Q: find sample kurtosis of data 15,18,19,20,21,21,22,25
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A: Yes the sampling distribution of the mean is considered to be a random variable . As per central…
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- The midterm and final exam grades for a statistics course are provided in the data set below. Jaymes, a student in the class, scored 86 on both exams. Treat the given data sets as samples. Midterm: 80, 78, 85, 82, 79, 79, 78, 86, 80, 84, 78, 84, 80, 84, 81, 78, 81, 82, 78, 84 Final: 81, 88, 68, 69, 69 81, 82, 86, 76, 71, 72, 68, 77, 86, 68, 83, 84, 71, 81, 87 z-score for midterm: 1.857 z-score for final: 1.181 Based on the z-scores calculated above, which of Jaymes's grades is more unusual, the midterm grade or the final exam grade? Select the correct answer below: A. The absolute value of the z-score for the final exam grade is greater than for the midterm grade, so the final exam grade is more unusual. B. The absolute value of the z-score for the midterm exam grade is less than for the final grade, so the midterm grade is more unusual. C. The absolute value of the z-score for the midterm exam grade is greater than for the final grade, so the midterm grade is more…Determine the median and the first and third quartiles in the following data. 46 47 49 Median First quartile Third quartile 49 51 53 54 Click here for the Excel Data File Q Search 54 55 55 59 < Prev 2 of 12 ‒‒‒ LA sample mean is calculated from a sample of size 20. How many degrees of freedom does the sampling distribution of sample means have? 18 19 20 21
- The values of a set of data are 3, 4, 6, 2, 4, 2, 3, 1, 5, 3, 4, 3, 5. What is the average value? 1.5 4.5 O 2.5 O 3.5 o search F2 F3 F4 F5 F6 F7 F8 F9 F10 F11 F12 @ # $4 & 3 4 5 6. 7 8. 9. E R Y F H K くo %24Let's examine the mean of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 by drawing samples from these values, calculating the mean of each sample, and then considering the sampling distribution of the mean. To do this, suppose you perform an experiment in which you roll an eight-sided die two times (or equivalently, roll two eight-sided dice one time) and calculate the mean of your sample. Remember that your population is the numbers 1, 2, 3, 4, 5, 6, 7, and 8. The true mean (µ) of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 is , and the true standard deviation (o) is The number of possible different samples (each of size n = 2) is the number of possibilities on the first roll (8) times the number of possibilities on the second roll (also 8), or 8(8) = 64. If you collected all of these possible samples, the mean of your sampling distribution of means (µM) would equal and the standard deviation of your sampling distribution of means (that is, the standard error or ɑm) would be The following chart…I am having trouble with this one, please help. Thank you
- ENUMERATION. Write your answer on a separate sheet of paper. 1. Considered to be necessary in sampling distribution.Describe about the Sampling Distribution of t.1. A furniture store reduces the prices of sofas in an autumn sale. The number of sofas sold during the 19 days of the sale were: 41, 44, 48, 55, 40, 44, 45, 42, 55, 55, 36, 36, 51, 47, 41, 38, 43, 48, 53 Work out the median and the lower and upper quartiles for the number of sofas sold in (3) the sale.