A researcher conducted a study to determine the normality of data on weight (in kg) among 85 respondents. The result is shown in Table 2 below. Table 2: The weight (in kg) of the respondents (N=85) Statistic 73.3588 Std. Error 1.59530 Weight |(in kg) Mean 95% Confidence Lower Bound 70.1864 Interval for Mean Upper Bound 76.5313 5% Trimmed Mean 72.5810 Median 70.9000 Variance 216.323 Std. Deviation 14.70793 Minimum 40.00 Maximum 114.70 Range Interquartile Range 65.70 20.25 Skewness 0.682 0.261 Kurtosis 0.237 0.517 Describe and conclude the normality for weight (in kg) of the respondents.
A researcher conducted a study to determine the normality of data on weight (in kg) among 85 respondents. The result is shown in Table 2 below. Table 2: The weight (in kg) of the respondents (N=85) Statistic 73.3588 Std. Error 1.59530 Weight |(in kg) Mean 95% Confidence Lower Bound 70.1864 Interval for Mean Upper Bound 76.5313 5% Trimmed Mean 72.5810 Median 70.9000 Variance 216.323 Std. Deviation 14.70793 Minimum 40.00 Maximum 114.70 Range Interquartile Range 65.70 20.25 Skewness 0.682 0.261 Kurtosis 0.237 0.517 Describe and conclude the normality for weight (in kg) of the respondents.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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A researcher conducted a study to determine the normality of data on weight (in kg) among 85
respondents. The result is shown in Table 2 below.
Table 2: The weight (in kg) of the respondents (N=85)
Statistic
Std. Error
Weight
|(in kg)
Mean
73.3588
1.59530
95% Confidence
Lower Bound
70.1864
Interval for Mean
Upper Bound
76.5313
5% Trimmed Mean
72.5810
Median
70.9000
Variance
216.323
Std. Deviation
14.70793
Minimum
40.00
Maximum
114.70
Range
65.70
Interquartile Range
20.25
Skewness
0.682
0.261
Kurtosis
0.237
0.517
Describe and conclude the normality for weight (in kg) of the respondents.
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