In the paper “The Population Variance and Standard Deviation” the author analyzes the population variance and standard deviation for the percentage rate of home ownership with 99% confidence. The percentage rates of home ownership were taken for 8 randomly selected states…
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The standard deviation of the sample was 4.1 million. Find the 95% confidence interval of the true mean.
12. It has been reported that 20.4% of incoming freshmen indicate that they will major in business or a related field. A random sample of 400 incoming college freshmen was asked their preference, and 95 replied they were considering business major. Estimate the true proportion of freshmen business majors with 98% confidence. Does your interval contain 20.4?
16. A recent study indicated that 29% of the 100 women over age 55 in the study were widows. How large a sample must you take to be 90% confident that the estimate is within 0.05 of the true proportion of women over age 55 who are widows?
8. Find the 90% confidence interval for the variance and standard deviation of seniors at Oak Park College if a sample of 24 students has a standard deviation of 2.4 years and the variable is normally distributed. What would be the 95% confidence interval?
12. The percentage rates of home ownership for 8 randomly selected states are listed below. Estimate the population variance and standard deviation for the percentage rate of home ownership.
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(“The Population Variance and Standard Deviation Speech or Presentation”, n.d.)
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(The Population Variance and Standard Deviation Speech or Presentation)
“The Population Variance and Standard Deviation Speech or Presentation”, n.d. https://studentshare.org/statistics/1641327-please-read-the-insturctions-and-the-file-that-i-will-attach.
Over the years, experts have come up with various portfolios in order to allow the investors and observers to determine, manage and minimize the risk associated with certain investments. Standard deviation is one of those tools, which are used widely for risk management of investment portfolios (Crouhy, Galai & Mark, pp, 44-45, 2006; Martellini, Priaulet & Priaulet, pp.
Due to shift in cost structures and factory automation the process of standard costing has been criticised due its declined relevance and contradiction with the modern manufacturing philosophy of JIT and continuous improvement. Critical Analysis of Standard Costing & Variance Analysis According to CIMA, standard costing is a technique to control costs by comparing the actual costs to the pre-set standards to obtain variances which facilitates in performance measurement (Walker, 2009, p.119).
Standard deviation, represented by the lowercase form of the Greek letter sigma, is a statistic that tells you how tightly the data points are clustered around the mean for a given process, which in turn tells you how much variation exists. When data points are tightly clustered around the mean and the bell-shaped curve is steep, the standard deviation -- and hence the variation -- is small.
Thus, one standard deviation implies that an investment’s returns will lie within the standard deviation limits 68% of the time. Similarly, two standard deviations imply that the returns will lie within the standard deviation limits 95% of the
This project involves a critical analysis of the standard costing system and variance analysis in modern management. Due to shift in cost structures and factory automation the process of standard costing has been criticised due its declined relevance and contradiction with the modern manufacturing philosophy of JIT and continuous improvement.
However, in this case the values for standard deviation are same. The investment with lower expected return is more risky than the investment with higher expected return. The coefficient of variation highlights this fact in relation with the expected return value.
The key idea is that when measuring the standard deviation one is able to measure the volatility of the stock. A more volatile stock is one where the stock’s returns have a higher variation from the stock’s
The roles of the football players are broadly classified into offense and defense. The defense team made up of defensive tackle and end who are usually four, safety, linebacker and corner-back. While the offense team consist of a quarterback, left and right guard;