The variable is Quantitative, has Interval level of measurement.
Variables which can be quantified & expressed numerically are Quantitative variables. Eg : as given , price
Variables which cant be qualified & expressed numerically are Qualitative variables. Eg : level of honesty, loyalty etc
Nominal & Ordinal are qualitative variables : signifying yes or no to a category (like men or women) , or ranks (x better than y) respectively. So price level is not such categorical & ordinal ratio.
Quantitative ratio variables are with reference to time , or are in forms of rate (like speed , growth per year). So, price level is not such ratio variable also.
Price is a quantitative variable, in which the ranking, its difference can be calculated. This is characteristic of a <u>Quantitative Interval Variable</u>.
Part A)
Total stores = 362 + 66 = 428
362 / 428 = 0.845 = 84.5% = 85%
66 / 428 = 0.154 = 15.4% = 15%
Yes this is consistent with the percentages shown in the first table.
Part B)
Total stores : 197 +115 = 312
197 / 312 = 0.631 = 63.1% = 63%
115 / 312 = 0.368 = 36.8% = 37%
The percentage for current stores is less than what is shown in the first table, so this would not be consistent.
Part C )
Percentage of new stores for the Northeast = 60 / 310 = 19%
The percentage of new stores for The Midwest and Northeast are below 25%, but the percentage of new stores in the South is above 25%, so the additional training wouldn't be required for the South, but should be required for the other two areas.
4065323 × 10 to the senventh power?
it issssssss $295.47 thats just ut
It's A. Segments that intersect at the right angle