Which of the following is not a characteristic of the bell shaped distribution
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75.Given thatZis a standard normal random variable, a negative value (z) on its distribution wouldindicate:PTS:1REF:SECTION 8.2 Show
Get answer to your question and much more NAT:Analytic; Probability Distributions76.A larger standard deviation of a normal distribution indicates that the distribution becomes:PTS:1REF:SECTION 8.2 Get answer to your question and much more NAT:Analytic; Probability Distributions77.In its standardized form, the normal distribution:a.has a mean of 0 and a standard deviation of 1.b.has a mean of 1 and a variance of 0.c.has an area equal to 0.5.d.cannot be used to approximate discrete probability distributions.ANS:APTS:1REF:SECTION 8.2 NAT:Analytic; Probability Distributions78.Most values of a standard normal distribution lie between:PTS:1REF:SECTION 8.2 Get answer to your question and much more NAT:Analytic; Probability Distributions If you're seeing this message, it means we're having trouble loading external resources on our website. If you're behind a web filter, please make sure that the domains *.kastatic.org and *.kasandbox.org are unblocked. Video Transcriptmm hmm. Okay. Which one of the following is not a characteristic of the normal distribution. While normal distribution is definitely symmetrical and bell shapes, we're going to get rid of those two choices. And then as you think about the bell curve in a in a distribution, the mean, the median and the mode are all smack dab in the middle. The mode would be the highest, which would be the center of the bell curve. So that is not true letter. That is true. Letter B is the one that is not true. The mean does not equal zero. The mean of a set of numbers can equal anything. The Z score at the mean would be zero, but the mean could equal anything not zero. What Is a Bell Curve?A bell curve is a common type of distribution for a variable, also known as the normal distribution. The term "bell curve" originates from the fact that the graph used to depict a normal distribution consists of a symmetrical bell-shaped curve. The highest point on the curve, or the top of the bell, represents the most probable event in a series of data (its mean, mode, andmedian in this case), while all other possible occurrences are symmetrically distributed around the mean, creating a downward-sloping curve on each side of the peak. The width of the bell curve is described by its standard deviation. Key Takeaways
Bell CurveUnderstanding a Bell CurveThe term "bell curve" is used to describe a graphical depiction of a normal probability distribution, whose underlying standard deviations from the mean create the curved bell shape. A standard deviation is a measurement used to quantify the variability of data dispersion, in a set of given values around the mean. The mean, in turn, refers to the average of all data points in the data set or sequence and will be found at the highest point on the bell curve. Financial analysts and investors often use a normal probability distribution when analyzing the returns of a security or of overall market sensitivity. In finance, standard deviations that depict the returns of a security are known as volatility. For example, stocks that display a bell curve usually are blue-chip stocks and ones that have lower volatility and more predictable behavioral patterns. Investors use the normal probability distribution of a stock's past returns to make assumptions regarding expected future returns. In addition to teachers who use a bell curve when comparing test scores, the bell curve is often also used in the world of statistics where it can be widely applied. Bell curves are also sometimes employed in performance management, placing employees who perform their job in an average fashion in the normal distribution of the graph. The high performers and the lowest performers are represented on either side with the dropping slope. It can be useful to larger companies when doing performance reviews or when making managerial decisions. Investopedia / Julie Bang Example of a Bell CurveA bell curve's width is defined by its standard deviation, which is calculated as the level of variation of data in a sample around the mean. Using the empirical rule, for example, if 100 test scores are collected and used in a normal probability distribution, 68% of those test scores should fall within one standard deviation above or below the mean. Moving two standard deviations away from the mean should include 95% of the 100 test scores collected. Moving three standard deviations away from the mean should represent 99.7% of the scores (see the figure above). Test scores that are extreme outliers, such as a score of 100 or 0, would be considered long-tail data points that consequently lie squarely outside of the three standard deviation range. Bell Curve vs. Non-Normal DistributionsThe normal probability distribution assumption doesn’t always hold true in the financial world, however. It is feasible for stocks and other securities to sometimes display non-normal distributions that fail to resemble a bell curve. Non-normal distributions have fatter tails than a bell curve (normal probability) distribution. A fatter tail skews negative signals to investors that there is a greater probability of negative returns. Limitations of a Bell CurveGrading or assessing performance using a bell curve forces groups of people to be categorized as poor, average, or good. For smaller groups, having to categorize a set number of individuals in each category to fit a bell curve will do a disservice to the individuals. As sometimes, they may all be just average or even good workers or students, but given the need to fit their rating or grades to a bell curve, some individuals are forced into the poor group. In reality, data are not perfectly normal. Sometimes there is skewness, or a lack of symmetry, between what falls above and below the mean. Other times there are fat tails (excess kurtosis), making tail events more probable than the normal distribution would predict. What Are the Characteristics of a Bell Curve?A bell curve is a symmetric curve centered around the mean, or average, of all the data points being measured. The width of a bell curve is determined by the standard deviation—68% of the data points are within one standard deviation of the mean, 95% of the data are within two standard deviations, and 99.7% of the data points are within three standard deviations of the mean. How Is the Bell Curve Used in Finance?Analysts will often use bell curves and other statistical distributions when modeling different potential outcomes that are relevant for investing. Depending on the analysis being performed, these might consist of future stock prices, rates of future earnings growth, potential default rates, or other important phenomena. Before using the bell curve in their analysis, investors should carefully consider whether the outcomes being studied are in fact normally distributed. Failing to do so could seriously undermine the accuracy of the resulting model. What Are the Limitations of the Bell Curve?Although the bell curve is a very useful statistical concept, its applications in finance can be limited because financial phenomena—such as expected stock-market returns—do not fall neatly within a normal distribution. Therefore, relying too heavily on a bell curve when making predictions about these events can lead to unreliable results. Although most analysts are well aware of this limitation, it is relatively difficult to overcome this shortcoming because it is often unclear which statistical distribution to use as an alternative. Which of the following is a characteristic of the bellThe bell curve is perfectly symmetrical. It is concentrated around the peak and decreases on either side. In a bell curve, the peak represents the most probable event in the dataset while the other events are equally distributed around the peak.
What are the 4 characteristics of a normal distribution?Here, we see the four characteristics of a normal distribution. Normal distributions are symmetric, unimodal, and asymptotic, and the mean, median, and mode are all equal.
Which of the following is not a characteristics of a normal distribution?Not a characteristic of a normal curve
The value of the mean is always greater than the value of the standard deviation. The mean of the data can be negative as well as positive, but the value of the standard deviation is always positive.
What are the characteristics of Bell?Most bells have the shape of a hollow cup that when struck vibrates in a single strong strike tone, with its sides forming an efficient resonator. The strike may be made by an internal "clapper" or "uvula", an external hammer, or—in small bells—by a small loose sphere enclosed within the body of the bell (jingle bell).
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