STANDARD COSTING VARIANCES Materials Actual Production X X X Vs. Standard Usage Standard Price Actual Usage Actual Production X X X Vs. Standard Usage Standard Price Actual Usage Actual Price Actual Price Total Variance Actual Production X X X Vs. Standard Price Actual Usage Actual Usage Actual Production X X X Vs. Standard Price Actual Usage Actual Usage Price Variance Actual Price Actual Price Standard Price Standard Price Actual Usage
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other or x can be included in y f. Represents the simplest measure of spread (or variability) g. Indicates the most frequent observation in a frequency distribution h. Represents a theoretical family of distributions that may have any mean or any standard deviation i. Indicates how widely the out around the measures of central tendency j. Measure an event over time B. Match the following data display tools with their descriptions. (Descriptions may be used more than once or not at all.) A
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(iii) Find the mean‚ median‚ range and standard deviation for the 1990 returns. Annual Returns % (1990) Mean 12.91865979 Median 11.38 Standard Deviation 9.297513067 Range 75.01 (iv) Repeat part (iii) for the 1998 returns. Annual Returns % (1998) Mean 6.355463918 Median 5.4 Standard Deviation 5.170830853 Range 42.76 (v) Which was the better year for investors? • 1990 was the better year for investors in regards to annual returns being consistent with the mean of 12.9% compare to
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created on a graph when using a frequency distribution method for a set of data‚ splitting the mean symmetrically. There is a big difference between standard deviation and the bell curve! Standard deviation shows the difference in variation from the average; the bell curve‚ also normal distribution or Gaussian distribution‚ shows the standard deviation and is created by the normal or equal distribution of the mean among either half. The bell curve is an important distribution pattern occurring in many
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average 8 percent of wholesale price. Therefore‚ the stock out probability equal to 8%/(24%+8%)=25% so there are 75% probability of being less than mean+0.67*SD (standard deviation). According to z table‚ z equal to 0.67 when probability is 0.75. Therefore‚ we can calculate quantity for each style include the risk of stock out by using formulate Q*=mean+z*SD. Therefore‚ we can get the maximum order units for each style in order to avoid stock out. Figure 1 |Style |Price
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Student Exploration: Sight vs. Sound Reactions Vocabulary: histogram‚ mean‚ normal distribution‚ range‚ standard deviation‚ stimulus Prior Knowledge Questions (Do these BEFORE using the Gizmo.) Most professional baseball pitchers can throw a fastball over 145 km/h (90 mph). This gives the batter less than half a second to read the pitch‚ decide whether to swing‚ and then try to hit the ball. No wonder hitting a baseball is considered one of the hardest things to do in sports! 1. What
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Executive Summary: This report talks about a Company is called Corvette‚ which sells luxury sports cars in twelve months from now. There is a table shows the order of five customers and in which currencies. Using those data I will find out mean‚ standard deviation and some probability for analysis. In addition‚ these is a case involves an offer was given to Corvette by HSBC for estimating whether it is risk or not. Furthermore‚ we also thought about what role banks plays in the case‚ and analyzed the
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(3) (Total 16 marks) 2. At a conference of 100 mathematicians there are 72 men and 28 women. The men have a mean height of 1.79 m and the women have a mean height of 1.62 m. Find the mean height of the 100 mathematicians. (Total 4 marks) 3. The mean of the population x1‚ x2‚ ........ ‚ x25 is m. Given that = 300 and = 625‚ find (a) the value of m; (b) the standard deviation of the population. (Total 4 marks) 4. A supermarket records the amount of money d spent by customers in their
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has a mean equal to 3.9 milligrams of tar per cigarette and a standard deviation equal to 1.0 milligram. Suppose a sample of 100 low-tar cigarettes is randomly selected from a day’s production and the tar content is measured in each. Assuming that the tobacco company’s claim is true‚ what is the probability that the mean tar content of the sample is greater than 4.15 milligrams? [0.00621] 2. The safety limit of a crane is known to be 32 tons. The mean weight and the standard deviation
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in analysing the data is determining if outliers exists within the data. The presence of outliers must be evaluated because their existence could distort the data and make it inaccurate. In order to determine if outliers exist the average and standard deviation must be calculated in order to calculate the Z score‚ which will show‚ wither or not outliers exist. In this instance to outliers where found present in the data set as all of the data fell within the +3‚-3 range‚ the largest positive outlier
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