What do the differences in the three tables below tell you about the representation of a distribution with categorical variables? Household |      Income |    Category |      Freq.     Percent        Cum. ------------+-----------------------------------           1 |         38        0.55        0.55           2 |      5,339       77.46       78.01           3 |      1,489       21.60       99.61           4 |         13        0.19       99.80           5 |         14        0.20      100.00 ------------+-----------------------------------       Total |      6,893      100.00         Cat2 |      Freq.     Percent        Cum. ------------+-----------------------------------           1 |      3,059       44.57       44.57           2 |          2        0.03       44.60           3 |      1,547       22.54       67.14           4 |        735       10.71       77.85           5 |      1,450       21.13       98.98           6 |         48        0.70       99.68           7 |         18        0.26       99.94           9 |          1        0.01       99.96          10 |          3        0.04      100.00 ------------+-----------------------------------       Total |      6,863      100.00         Cat3 |      Freq.     Percent        Cum. ------------+-----------------------------------           1 |      1,560       22.73       22.73           2 |         43        0.63       23.36           3 |         69        1.01       24.36           4 |        122        1.78       26.14           5 |        259        3.77       29.91           6 |        205        2.99       32.90           7 |        196        2.86       35.76           8 |        211        3.07       38.83           9 |        618        9.00       47.84          10 |        621        9.05       56.88          11 |        414        6.03       62.92          12 |        323        4.71       67.62          13 |        297        4.33       71.95          14 |        292        4.25       76.21          15 |      1,633       23.79      100.00 ------------+-----------------------------------       Total |      6,863      100.00

Please do not give solution in image format thanku A car salesman collected data on how many cars were sold at a dealership per day for two weeks. The results were as follows: 6, 7, 4, 3, 1, 2, 6, 6, 6, 7, 4, 4. Make a frequency table and then make a histogram based on that frequency table. What is the shape of the distribution? O Skewed to the right O Skewed to the left O Bimodal O Symmetrical

Geometric mean. 3. Construct a stem-and-leaf plot listing the score below in order from lowest to highest. 15, 25, 28, 32, 39, 40, 43, 26, 5 J, 75, 65, 19, 55, 72, 50

Student grades on a chemistry exam were: 79, 77, 76, 82, 86, 50, 79, 81, 83, 99 Part (a) Construct a stem-and-leaf plot of the data. (Use the tens digit as the stem and the ones digit as the leaf. Enter your answers from smallest to largest, separated by spaces. Enter NONE for stems with no leaves.) 5   6   7   8   9   Are there any potential outliers? If so, which scores are they? Why do you consider them outliers? 1.There are no outliers in the data set because there are no large gaps in the stem-and-leaf plot. 2. The two outliers are 50 (because it lies 1.5 × IQR below the first quartile) and 99 (because it lies 1.5 × IQR above the upper quartile).     3.The only outlier is 99 because it is the largest value in the data set. 4.The only outlier is 50 because it lies 1.5 × IQR below the first quartile.