Use the following information to answer the question. A researcher is studying the average number of messages sent by What's App users and iMessage users. Below is the R output produced from the data. > t.test(Whats_App, iMessage, alternative - "two.sided") Welch Two Sample t-test data: Whats_App and iMessage t - 0.52784, df - 13.775, p-value - 0.606 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -23.02189 38.02189 sample estimates: mean of x mean of y 53.0 45.5 If the significance level is 1%, what conclusion can we make? We do not have enough evidence to conclude that the average number of messages sent by What's App users is less than iMessage users. We have enough evidence to conclude that the average number of messages sent by What's App users and iMessage users is different. We do not have enough evidence to conclude that the average number of messages sent by What's App users and iMessage users is different.

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Use the following information to answer the question.
A researcher is studying the average number of messages sent by What's
App users and iMessage users. Below is the R output produced from the
data.
> t. test(Whats_App, iMessage, alternative - "two.sided")
Welch Two Sample t-test
data: Whats_App and iMessage
t - 0.52784, df = 13.775, p-value = 0.606
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-23.02189 38.02189
sample estimates:
mean of x mean of y
53.0
45.5
If the significance level is 1%, what conclusion can we make?
O We do not have enough evidence to conclude that the average number of
messages sent by What's App users is less than iMessage users.
We have enough evidence to conclude that the average number of messages
sent by What's App users and iMessage users is different.
We do not have enough evidence to conclude that the average number of
messages sent by What's App users and iMessage users is different.
O We do not have enough evidence to conclude that the average number of
messages sent by What's App users is greater than iMessage users.
Transcribed Image Text:Use the following information to answer the question. A researcher is studying the average number of messages sent by What's App users and iMessage users. Below is the R output produced from the data. > t. test(Whats_App, iMessage, alternative - "two.sided") Welch Two Sample t-test data: Whats_App and iMessage t - 0.52784, df = 13.775, p-value = 0.606 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -23.02189 38.02189 sample estimates: mean of x mean of y 53.0 45.5 If the significance level is 1%, what conclusion can we make? O We do not have enough evidence to conclude that the average number of messages sent by What's App users is less than iMessage users. We have enough evidence to conclude that the average number of messages sent by What's App users and iMessage users is different. We do not have enough evidence to conclude that the average number of messages sent by What's App users and iMessage users is different. O We do not have enough evidence to conclude that the average number of messages sent by What's App users is greater than iMessage users.
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