A. A prediction based on the data is not completely reliable, because the means of samples 1 and 3 are too close together,
B. A prediction based on the data is reliable, because the means of
samples 1 and 3 are very close together.
C. A prediction based on the data is not completely reliable, because
the mean of sample 2 is noticeably higher than the means of the
other two samples.
D. A prediction based on the data is reliable, because there are no
noticeable differences among the samples,

to determine the unit cost your would divide the total cost by the number sold.

7 bagels for $4.41       $4.41/7 = $.63 each at fresh side

5 bagels for $3.60         $3.60/5 = $.72 each at value mart

d. 24+-0.114

step-by-step explanation:

the question requires us to calculate the approximate 95% confidence interval for the mean number of ounces of ketchup per bottle in the sample given the following statistics;

sample mean = 24

standard deviation, σ = 0.4

sample size , n = 49

the confidence interval for a population mean is calculated using the formula;

sample mean ± z-score*(σ/sqrt(n))

the z-score associated with a 95% confidence interval, from the standard normal tables, is;

1.96

substituting these values into the formula;

24 ± 1.96*(0.4/7)

= 24 ± 0.112

from the alternatives given, choice d is closest to the above expression;

i need points

step-by-step explanation:

sorry bubs

the graph line crosses the x axis at both -6 and -2, so the answer would be the second one.