1.1 The daily sales of an airtime vendor over a period of one month are summarised as follows: Statistics sales Valid 30 Missing Mean 31.4000 Std. Deviation 1.71778E1 Minimum 9.00 Maximum 86.00...

1.1 The daily sales of an airtime vendor over a period of one month are summarised as follows:<br>Statistics<br>sales<br>Valid<br>30<br>Missing<br>Mean<br>31.4000<br>Std. Deviation<br>1.71778E1<br>Minimum<br>9.00<br>Maximum<br>86.00<br>18.5000<br>28.0000<br>Percentiles<br>25<br>50<br>39.0000|<br>75<br>10<br>an 40<br>Shd De 17e<br>(a) Briefly describe the distribution of the<br>daily sales (shape, center and spread).<br>(b) For this data, would you use the mean or<br>the median as a measure of central tendency?<br>Explain your answer.<br>(c) Find the range of daily sales.<br>000<br>2000<br>40 00<br>100 00<br>sales<br>(d) Construct a boxplot of the daily sales.<br>Hence, comment on the nature of skewness exhibited by the data.<br>kouanba<br>

Extracted text: 1.1 The daily sales of an airtime vendor over a period of one month are summarised as follows: Statistics sales Valid 30 Missing Mean 31.4000 Std. Deviation 1.71778E1 Minimum 9.00 Maximum 86.00 18.5000 28.0000 Percentiles 25 50 39.0000| 75 10 an 40 Shd De 17e (a) Briefly describe the distribution of the daily sales (shape, center and spread). (b) For this data, would you use the mean or the median as a measure of central tendency? Explain your answer. (c) Find the range of daily sales. 000 2000 40 00 100 00 sales (d) Construct a boxplot of the daily sales. Hence, comment on the nature of skewness exhibited by the data. kouanba

Jun 03, 2022

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1.1 The daily sales of an airtime vendor over a period of one month are summarised as follows: Statistics sales Valid 30 Missing Mean 31.4000 Std. Deviation 1.71778E1 Minimum 9.00 Maximum 86.00...

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