Will give !

a researcher wanted to compare the final test scores of students who used two different types of study materials. the researcher randomly selected two samples of 20 students using each type of material and determined the final test score of each student. the table shows the mean final score and the mean absolute deviation (mad) for each sample.

the researcher can/cannot conclude that material 1 leads to higher final test scores because the distributions of the scores in the two samples are identical/somewhat similar/ similar/ different.

The researcher CAN

The two samples are DIFFERENT

The researcher

can

conclude that Material 1 leads to higher final test scores because the distributions of the scores in the two samples are

different

.

Step-by-step explanation:

clock

step-by-step explanation:

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;