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What shades of color come to mind when you’re sad? Red 7% 8 Orange 5.3% 6 ...
Aug 15, 2024
What shades of color come to mind when you’re sad? Red 7% 8 Orange 5.3% 6 Yellow 1.8% 2 Green 3.5% 4 Blue 40.4% 46 Purple 7.9% 9 White 18.4% 21 Black 38.6% 44 Other 7.9% 9 what is the sample mean and sample standard deviation
Solution by Steps
step 1
To find the sample mean, we use the formula: xˉ=xin \bar{x} = \frac{\sum x_i}{n} , where xi x_i are the values and n n is the number of values. The values are the percentages of colors associated with sadness: 7,5.3,1.8,3.5,40.4,7.9,18.4,38.6,7.9 7, 5.3, 1.8, 3.5, 40.4, 7.9, 18.4, 38.6, 7.9 . Thus, n=9 n = 9
step 2
Calculating the sum of the values: 7+5.3+1.8+3.5+40.4+7.9+18.4+38.6+7.9=131.8 7 + 5.3 + 1.8 + 3.5 + 40.4 + 7.9 + 18.4 + 38.6 + 7.9 = 131.8
step 3
Now, substituting into the mean formula: xˉ=131.8914.64 \bar{x} = \frac{131.8}{9} \approx 14.64
step 4
To find the sample standard deviation, we use the formula: s=(xixˉ)2n1 s = \sqrt{\frac{\sum (x_i - \bar{x})^2}{n-1}} . First, we calculate (xixˉ)2 (x_i - \bar{x})^2 for each value
step 5
The squared differences are: (714.64)2,(5.314.64)2,(1.814.64)2,(3.514.64)2,(40.414.64)2,(7.914.64)2,(18.414.64)2,(38.614.64)2,(7.914.64)2 (7 - 14.64)^2, (5.3 - 14.64)^2, (1.8 - 14.64)^2, (3.5 - 14.64)^2, (40.4 - 14.64)^2, (7.9 - 14.64)^2, (18.4 - 14.64)^2, (38.6 - 14.64)^2, (7.9 - 14.64)^2 . Calculating these gives: 57.57,86.66,163.84,124.66,646.56,45.76,13.57,592.36,45.76 57.57, 86.66, 163.84, 124.66, 646.56, 45.76, 13.57, 592.36, 45.76
step 6
Summing the squared differences: 57.57+86.66+163.84+124.66+646.56+45.76+13.57+592.36+45.76=1,776.58 57.57 + 86.66 + 163.84 + 124.66 + 646.56 + 45.76 + 13.57 + 592.36 + 45.76 = 1,776.58
step 7
Now substituting into the standard deviation formula: s=1776.58814.92 s = \sqrt{\frac{1776.58}{8}} \approx 14.92
Answer
Sample Mean: 14.64, Sample Standard Deviation: 14.92
Key Concept
The sample mean and standard deviation are measures of central tendency and dispersion, respectively.
Explanation
The sample mean provides an average value of the data, while the sample standard deviation indicates how spread out the values are around the mean.
What formula would you use to calculate the sample mean and sample standard deviation for the given percentages?
Solution by Steps
step 1
To find the sample mean, we use the formula: xˉ=xin \bar{x} = \frac{\sum x_i}{n} , where xi x_i are the values and n n is the number of values. The values are the percentages of colors associated with sadness: 7,5.3,1.8,3.5,40.4,7.9,18.4,38.6,7.9 7, 5.3, 1.8, 3.5, 40.4, 7.9, 18.4, 38.6, 7.9 . Thus, n=9 n = 9
step 2
Calculating the sum of the values: 7+5.3+1.8+3.5+40.4+7.9+18.4+38.6+7.9=131.8 7 + 5.3 + 1.8 + 3.5 + 40.4 + 7.9 + 18.4 + 38.6 + 7.9 = 131.8
step 3
Now, substituting the sum into the mean formula: xˉ=131.8914.64 \bar{x} = \frac{131.8}{9} \approx 14.64
step 4
To find the sample standard deviation, we use the formula: s=(xixˉ)2n1 s = \sqrt{\frac{\sum (x_i - \bar{x})^2}{n-1}} . First, we calculate (xixˉ)2 (x_i - \bar{x})^2 for each value
step 5
The squared differences are: (714.64)2,(5.314.64)2,(1.814.64)2,(3.514.64)2,(40.414.64)2,(7.914.64)2,(18.414.64)2,(38.614.64)2,(7.914.64)2 (7 - 14.64)^2, (5.3 - 14.64)^2, (1.8 - 14.64)^2, (3.5 - 14.64)^2, (40.4 - 14.64)^2, (7.9 - 14.64)^2, (18.4 - 14.64)^2, (38.6 - 14.64)^2, (7.9 - 14.64)^2 . Calculating these gives: 57.66,86.66,163.78,124.82,646.56,45.76,14.58,592.36,45.76 57.66, 86.66, 163.78, 124.82, 646.56, 45.76, 14.58, 592.36, 45.76
step 6
Summing the squared differences: 57.66+86.66+163.78+124.82+646.56+45.76+14.58+592.36+45.76=1,777.18 57.66 + 86.66 + 163.78 + 124.82 + 646.56 + 45.76 + 14.58 + 592.36 + 45.76 = 1,777.18
step 7
Now, substituting into the standard deviation formula: s=1777.18814.92 s = \sqrt{\frac{1777.18}{8}} \approx 14.92
Answer
Sample Mean: 14.64, Sample Standard Deviation: 14.92
Key Concept
The sample mean and sample standard deviation are measures of central tendency and variability, respectively.
Explanation
The sample mean provides an average of the data, while the sample standard deviation indicates how spread out the values are around the mean.
How would you determine the confidence interval for your sample mean based on the sample standard deviation you calculated?
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