Answer:
None of the above answers
Step-by-step explanation:
Form a table as shown
Months Teddy Bears Rabbits Cats Horses Others Totals toys
September 225 275 245 260 199 1204
October 346 308 186 297 285 1422
Trends
Cats decreased from 245 to 186
Others increased from 199 to 285,
285-199 = 86
percent increase was = increase/original quantity *100
86/199 *100 =43.22%
Total number of stuffed toys increased from 1204 to 1422
percent increase = (1422-1204)/1204 *100 = 218/1204 *100 =18.11%
Answer:
Step-by-step explanation:
3(b-4)=2 b=0.6667
=2(-26+1) 2x-27
=-54
-54 is the answer
The 68-95-99.7 rule tells us 68% of the probability is between -1 standard deviation and +1 standard deviation from the mean. So we expect 75% corresponds to slightly more than 1 standard deviation.
Usually the unit normal tables don't report the area between -σ and σ but instead a cumulative probability, the area between -∞ and σ. 75% corresponds to 37.5% in each half so a cumulative probability of 50%+37.5%=87.5%. We look that up in the normal table and get σ=1.15.
So we expect 75% of normally distributed data to fall within μ-1.15σ and μ+1.15σ
That's 288.6 - 1.15(21.2) to 288.6 + 1.15(21.2)
Answer: 264.22 to 312.98
Answer:
a
Step-by-step explanation:
