Answer:
The limit that 97.5% of the data points will be above is $912.
Step-by-step explanation:
Problems of normally distributed samples can be solved using the z-score formula.
In a set with mean 
and standard deviation 
, the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
Find the limit that 97.5% of the data points will be above.
This is the value of X when Z has a pvalue of 1-0.975 = 0.025. So it is X when Z = -1.96.
So
The limit that 97.5% of the data points will be above is $912.
Answer:
Step-by-step explanation:
how the prices at Payless compared to the prices
at Famous Footwear. At each store, they randomly
selected 30 pairs of shoes and recorded the price of
each pair. The table shows summary statistics for
the two samples of shoes.28
Store
Mean
SD
Famous Footwear
$45.66
$16.54
Payless
$21.39 $7.47
Do these data provide convincing evidence at the
0.05 significance level that shoes cost less
, on
average, at Payless than at Famous Footwear?
a =
Answer:
1:52
Step-by-step explanation:
The clock reads 1:45 so simply add 7 minutes to that
Answer:
Answers are below
Step-by-step explanation:
Minimum: 2.50(1.01)^10 = $2.76
Maximum : 2.50(1.01)^20 = $3.05
If these answers are correct, please make me Brainliest!
40*9.2=360.8
10.7*2.25=24.075
360.8
+24.075
384.875. I disagree he actually made 384.875 dallors
