4. Describe the following Distributions: a. b. C.
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Q: Which of the following distributions would be most likely to have a tail, and why?
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Q: Is a statistics class' delivery type a factor in how well students do on the final exam? The table…
A: Given: α=0.1 Hypothesis: H0: μ1=μ2=μ3 H1: At least one of the mean is different from the others.
Q: Is a statistics class' delivery type a factor in how well students do on the final exam? The table…
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A: From the above given data the following solution is provided below:
Q: Is a statistics class' delivery type a factor in how well students do on the final exam? The table…
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Q: Is a statistics class' delivery type a factor in how well students do on the final exam? The table…
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- Describe the following Distributions:
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- (d) Annual salaries of the employees at a Fortune 500 company where only a few high level executives earn much higher salaries than the all other employees. The distribution is expected to be: O left skewed O symmetric O right skewed A typical observation is best represented by the: O mean O median The variability in the observations is best measured by the: O IQR O standard deviationHere are four pairs of normal distributions. In each pair the right one (blue) represents one group and the left one (red) represents another group. Which pair represents the largest "effect size"; that is, which one has the largest Cohen's d score? O The top one The second one down The third one The bottom oneThe X2 distribution is used for the comparison of two ______.
- Is a statistics class' delivery type a factor in how well students do on the final exam? The table below shows the average percent on final exams from several randomly selected classes that used the different delivery types. Face-to-Face Hybrid Online 85 81 100 100 89 82 66 56 99 57 74 98 97 55 88 58 60 75 84 75 55 Assume that all distributions are normal, the three population standard deviations are all the same, and the data was collected independently and randomly. Use a level of significance of α=0.01. For this study, we should use ANOVA Your friend Stephanie helped you with the null and alternative hypotheses...H0: μ1=μ2=μ3H1: At least one of the mean is different from the others. The test-statistic for this data = (Please show your answer to 3 decimal places.) The p-value for this sample = (Please show your answer to 4 decimal places.)Is a statistics class' delivery type a factor in how well students do on the final exam? The table below shows the average percent on final exams from several randomly selected classes that used the different delivery types. Face-to-Face Hybrid Online 88 92 80 89 97 84 94 68 100 78 90 61 79 99 72 65 87 85 74 83 70 Assume that all distributions are normal, the three population standard deviations are all the same, and the data was collected independently and randomly. Use a level of significance of a = 0.01. Ert = T = I1 :H H1: At least two of the means differ from each other. 1. For this study, we should use Select an answer v 2. The test-statistic for this data = (Please show your answer to 3 decimal places.) 3. The p-value for this sample = (Please show your answer to 4 decimal places.) 4. The p-value is Select an answer 5. Base on this, we should Select an answer 6. As such, the final conclusion is that... | hypothesis O There is insufficient evidence to support the claim that…The following table shows the results of a medical test. Positive Test Result Negative Test Result 95.3 4.6 Total 82.6 % 4.6 Has Disease X % 491 24 % 515 Does Not Have Disease 45 Use the preceding data to estimate each of the following. (Express each response as a percentage rounded to one decimal place.) a. If a person has the disease, what is the probability that person tests positive? This is the sensitivity or true positive rate of a test. 214 259 Total b. If a person has the disease, what is the probability that person tests negative? This is sometimes called the false negative rate. 536 238 774 c. If a person does not have the disease, what is the probability that person tests negative? This is the specificity or true negative rate of a test. d. If a person does not have the disease, what is the probability that person tests positive? This is sometimes called the false positive rate. X %
- The binomial distribution depends on which of the following? O Mean and probability of success Standard deviation and number of successes O Sample size and probability of success Mean and standard deviation DisAnswer it correctly please. Give proper reason. IAccording to Benford's Law, a variety of different data sets include numbers with leading (first) digits that follow the distribution shown in the table below. Test forgoodness-of-fit with Benford's Law. Leading Digit 1 2 3 4 5 6 7 8 9 Benford's law: distribution of leading digits 30.1% 17.6% 12.5% 9.7% 7.9% 6.7% 5.8% 5.1% 4.6% When working for the Brooklyn District Attorney, investigator Robert Burton analyzed the leading digits of the amounts from 784 checks issued by seven suspect companies. The frequencies were found to be 0, 12, 0, 73, 482, 186, 8, 23, and 0, and those digits correspond to the leading digits of 1, 2, 3, 4, 5, 6, 7, 8, and 9, respectively. If the observed frequencies are substantially different from the frequencies expected with Benford's Law, the check amounts appear to result from fraud. Use a 0.05 significance level to test for goodness-of-fit with Benford's Law. What is the value…
- Which of the following distributions would be most likely to have a tail, and why? A. The GPAs of NMSU students, because some students have a 4.0. B. Class scores on a quiz, with 10 points possible, because the most common scores are 7, 8, and 9. C. The time it takes to install a new piece of computer software, because usually it’s quick, but occasionally it takes hours or even days. D. The amount of money you spend each month on food, because food prices change a little from day to day, and sometimes things are on sale.real estate company is interested in the ages of home buyers. They examined the ages of thousands of home buyers and found that the mean age was 46 years old, with a standard deviation of 10 years. Suppose that these measures are valid for the population of all home buyers. Complete the following statements about the distribution of all ages of home buyers. a. According to Chebyshev's theorem, at least ____________of the home buyers' ages lie between 26 years and 66 years. b. According to Chebyshev's theorem, at least 36% of the home buyers' ages lie between ______ years and ______years. (Round your answer to the nearest integer.)Consider the two similar distributions discrete and continuous, and show your detail calculations to answer the followings: a. What is the expected value of: Random.Discrete(5,0.8, 10,1.0)? b. What is the expected value of: Random.Continuous(5,0.8, 10,1.0)?
