Below you’ll find summary statistics and a frequency distribution about apartments located in Vienna, Austria. The variable in particular this information is for contains the “# of square meters in the kitchen per apartment.” I have limited the sample to where only a specific district in the city is shown. Summary statistics, using the observations 401 – 602 for the variable 'kitchen_sq' (202 valid observations) Mean 3.5347 Median 0.00000 Minimum 0.00000 Maximum 120.00 Standard deviation 9.2533 C.V. 2.6179 Skewness 9.9905 Ex. kurtosis 122.56 5% percentile 0.00000 95% percentile 9.8500 Interquartile range 8.000 Missing obs. 0 a. Using the information as furnished above, construct a 95% confidence interval for the true population mean of kitchen square meters in this district in Vienna. Show and describe your work.
Below you’ll find summary statistics and a frequency distribution about apartments located in Vienna,
Austria. The variable in particular this information is for contains the “# of square meters in the kitchen
per apartment.” I have limited the sample to where only a specific district in the city is shown.
Summary statistics, using the observations 401 – 602
for the variable 'kitchen_sq' (202 valid observations)
Median 0.00000
Minimum 0.00000
Maximum 120.00
Standard deviation 9.2533
C.V. 2.6179
Skewness 9.9905
Ex. kurtosis 122.56
5% percentile 0.00000
95% percentile 9.8500
Interquartile
Missing obs. 0
a. Using the information as furnished above, construct a 95% confidence interval for the true
population mean of kitchen square meters in this district in Vienna. Show and describe your
work.
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 8 images