A recent newspaper article claims that teens send more than 82.2 text messages per day. A study is conducted and 25 randomly selected teens are selected and the mean number of text messages is 86.1 with a standard deviation of 8.4. Test the newspaper's claim at the 0.01 significance level. You believe the population is normally distributed. H.:µ = 82.2 Ha:µ > 82.2 a. What is the test statistic? (Report answer accurate to four decimal places.) test statistic = b. What is the p-value? (Report answer accurate to four decimal places.) p-value = c. The p-value is greater than a less than (or equal to) a

MATLAB: An Introduction with Applications
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A recent newspaper article claims that teens send more than 82.2 text messages per day. A study is conducted
and 25 randomly selected teens are selected and the mean number of text messages is 86.1 with a standard
deviation of 8.4. Test the newspaper's claim at the 0.01 significance level. You believe the population is
normally distributed.
H.:µ = 82.2
Ha: µ > 82.2
a. What is the test statistic? (Report answer accurate to four decimal places.)
test statistic =
b. What is the p-value? (Report answer accurate to four decimal places.)
p-value
c. The p-value is
greater than a
less than (or equal to) a
d. The p-value leads to a decision to
fail to reject Ho
reject Ho
ассept Ho
e. The conclusion is that
There is sufficient evidence to conclude the mean number of text messages teens send is 82.2 per day.
There is not sufficient evidence to conclude the mean number of text messages teens send is greater
than 82.2.
There is sufficient evidence to conclude the mean number of text messages teens send is greater than
82.2.
There is not sufficient evidence to conclude the mean number of text messages teens send is 82.2 per
day.
f. Interpret the P-value
If the sample mean number of text messages teens send per day is equal to 86.1, then there is a
probability of 0.0145 of getting a population mean of 82.2 or more.
The p-value is the probability of a rejecting that the mean number of text messages teens send per day
is 82.2 from a sample of 25.
O If the population mean number of text messages teens send per day is 82.2, then there is a probability
of 0.0145 of getting a sample mean of 86.1 or more from a sample of size 25.
The p-value is the probability of a Type II Error.
Transcribed Image Text:A recent newspaper article claims that teens send more than 82.2 text messages per day. A study is conducted and 25 randomly selected teens are selected and the mean number of text messages is 86.1 with a standard deviation of 8.4. Test the newspaper's claim at the 0.01 significance level. You believe the population is normally distributed. H.:µ = 82.2 Ha: µ > 82.2 a. What is the test statistic? (Report answer accurate to four decimal places.) test statistic = b. What is the p-value? (Report answer accurate to four decimal places.) p-value c. The p-value is greater than a less than (or equal to) a d. The p-value leads to a decision to fail to reject Ho reject Ho ассept Ho e. The conclusion is that There is sufficient evidence to conclude the mean number of text messages teens send is 82.2 per day. There is not sufficient evidence to conclude the mean number of text messages teens send is greater than 82.2. There is sufficient evidence to conclude the mean number of text messages teens send is greater than 82.2. There is not sufficient evidence to conclude the mean number of text messages teens send is 82.2 per day. f. Interpret the P-value If the sample mean number of text messages teens send per day is equal to 86.1, then there is a probability of 0.0145 of getting a population mean of 82.2 or more. The p-value is the probability of a rejecting that the mean number of text messages teens send per day is 82.2 from a sample of 25. O If the population mean number of text messages teens send per day is 82.2, then there is a probability of 0.0145 of getting a sample mean of 86.1 or more from a sample of size 25. The p-value is the probability of a Type II Error.
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