Find the​ (a) mean,​ (b) median,​ (c) mode, and​ (d) midrange for the data and then​ (e) answer the given question. Listed below are the amounts​ (dollars) it costs for marriage proposal packages at different sports venues. Are there any​ outliers? 49 70 70 70 75 75 85 95 100 125 150 150 175 184 225 225 275 350 400 450 450 450 450 1500 3000

Respuesta :

Answer:

a) [tex]\bar X = 369.62[/tex]

b) [tex]Median=175 [/tex]

c) [tex] Mode =450 [/tex]

With a frequency of 4

d) [tex] MidR= \frac{Max +Min}{2}= \frac{49+3000}{2}= 1524.5[/tex]

e)[tex] s = 621.76[/tex]

And we can find the limits without any outliers using two deviations from the mean and we got:

[tex] \bar X+2\sigma = 369.62 +2*621.76 = 1361[/tex]

And for this case we have two values above the upper limit so then we can conclude that 1500 and 3000 are potential outliers for this case

Step-by-step explanation:

We have the following data set given:

49 70 70 70 75 75 85 95 100 125 150 150 175 184 225 225 275 350 400 450 450 450 450 1500 3000

Part a

The mean can be calculated with this formula:

[tex] \bar X = \frac{\sum_{i=1}^n X_i}{n}[/tex]

Replacing we got:

[tex]\bar X = 369.62[/tex]

Part b

Since the sample size is n =25 we can calculate the median from the dataset ordered on increasing way. And for this case the median would be the value in the 13th position and we got:

[tex]Median=175 [/tex]

Part c

The mode is the most repeated value in the sample and for this case is:

[tex] Mode =450 [/tex]

With a frequency of 4

Part d

The midrange for this case is defined as:

[tex] MidR= \frac{Max +Min}{2}= \frac{49+3000}{2}= 1524.5[/tex]

Part e

For this case we can calculate the deviation given by:

[tex] s =\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}[/tex]

And replacing we got:

[tex] s = 621.76[/tex]

And we can find the limits without any outliers using two deviations from the mean and we got:

[tex] \bar X+2\sigma = 369.62 +2*621.76 = 1361[/tex]

And for this case we have two values above the upper limit so then we can conclude that 1500 and 3000 are potential outliers for this case

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