1.63 x and s are not enough. The mean X and standard deviation s measure center and spread but are not a complete description of a distribution. Data sets with different shapes can have the same mean and standard deviation. To demonstrate this fact, find X and s for these two small data sets. Then make a stemplot of each, and comment on the shape of each distribution. L ABDATA Data A: 9.14 8.14 8.74 8.77 9.26 8.10 6.13 3.10 9.13 7.26 4.74 Data B: 6.58 5.76 7.71 8.84 8.47 7.04 5.25 5.56 7.91 6.89 12.50

List and describe at least three characteristics of the normal distribution.Find an example of something that you would expect to be normally distributed and share it. Explain why you think it it normally distributed.Find an example of something that you would not expect to be normally distributed and share it. Explain why you think it would not be normally distributed.Find a web-based resource that is helpful in understanding the Normal Distribution.

Use the given data values​ (a sample of female arm circumferences in​ centimeters) to identify the corresponding z scores that are used for a normal quantile​ plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile​ plot, then determine whether the data appear to be from a population with a normal distribution. 33.9​, 37.9​, 43.8​, 32.8​, 40.1 Question content area bottom Part 1 List the z scores for the normal quantile plot.   Part A -List the z scores for the normal quantile plot.     Part B- Identify the coordinates of each point in the normal quantile plot. Use ordered pairs for the form​ (x,y), where x is the sorted arm circumferences in ascending​ order, and y is the corresponding z score.   Part C- Do the data come from a normally distributed​ population?

Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 71 miles per​ hour, with a standard deviation of 5 miles per hour. Estimate the percent of vehicles whose speeds are between 61 miles per hour and 81 miles per hour.​ (Assume the data set has a​ bell-shaped distribution.)   Approximately ________ ​% of vehicles travel between 61 miles per hour and 81 miles per hour.

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Use the dot plots to complete the following. 6. 10 Class A Class E The shape of the distribution for Class A İS (type skewed or symmetric): The shape of the distribution for Class B is (type skewed or symmetriCH When comparing the distributions for Class A and Class 3 the apprcoriate numoer summary T should use for the center is (type mean or median): When comparing the distributions for Class A and Class B the appropriate number summary Ishould use for the varlation is (type standard deviation or IQR):

Refer to the accompanying data set and use the 25 home voltage measurements to construct a frequency distribution with five classes. Begin with a lower class limit of 120.8 volts, and use a class width of 0.2 volt. Does the result appear to have a normal distribution? Why or why not? Click the icon to view the data. Complete the frequency distribution below. Voltage (volts) Frequency 120.8- (Type integers or decimals rounded to the nearest tenth as needed.) Voltage Measurements From a Home Home Home (volts) Day (volts) Day 121.0 15 121.5 22 121.2 16 121.3 23 121.4 17 120.9 24 121.3 18 121.0 25 121.2 19 121.3 121.2 20 121.7 21 121.5 Home (volts) Day 121.1 8 121.5 9 121.2 10 121.5 11 12 13 121.2 14 121.1 Day 1 2 3 4 5 121.6 6 120.8 7 Home Full (volts) data 121.2 set 121.1 121.0 121.2

Use the magnitudes​ (Richter scale) of the 120 earthquakes listed in the accompanying data table. Use technology to find the​ range, variance, and standard deviation. If another​ value, 8.00​, is added to those listed in the data​ set, do the measures of variation change​ much?  3.30 2.77 2.80 1.96 1.69 2.54   2.43 3.44 3.92 1.58 2.87 1.63   2.56 3.95 2.50 2.44 1.82 2.19   2.44 2.99 2.92 2.35 1.98 3.06   2.78 3.86 2.95 2.07 1.86 2.36   2.37 3.46 3.45 1.54 2.54 1.49   2.22 3.06 2.27 3.20 1.96 1.91   2.40 2.95 2.61 1.49 2.16 2.33   1.91 2.70 2.92 1.80 3.66 2.69   1.43 3.60 3.13 2.56 1.54 1.41   2.83 2.85 2.20 1.68 3.18 1.38   1.73 2.37 1.15 2.35 2.46 1.81   2.01 3.00 1.94 2.42 1.85 2.24   2.35 3.22 3.97 2.10 1.48 2.31   2.31 2.62 2.55 2.20 2.77 2.46   2.69 3.57 2.84 2.75 3.26 1.74   4.72 3.23 2.36 2.00 3.83 2.41   2.88 2.67 2.32 2.80 2.80 2.40   3.41 2.34 1.49 2.41 2.45 2.50   2.73 2.44 2.78 2.65 2.68 2.43 Without the extra data​ value, the range is 3.573.57. ​(Type an integer or…

Q10: Show work by typing please TYPING

The accompanying data are 45 commute times to work in minutes for workers of age 16 or older in Chicago. Construct a frequency distribution. Use a class width of 15 minutes and begin with a lower class limit of 0 minutes. Do the data amounts appear to have a normal distribution? Examine the data and identify anything appearing to be unique. Click the icon to view the commute times. Construct the frequency distribution. Commute Time (minutes) 0- Frequency Commute Times 60 15 35 30 45 10 15 15 30 12 30 30 45 30 20 20 15 25 45 15 28 30 30 60 30 45 30 12 45 20 10 45 35 60 20 20 30 4 80 45 30 60 45 25 30 (Type whole numbers.) 1 X