Because everyone he surveyed was on the football team, the sample population all have that in common, and so this sample is not a random one. I don't remember the name of this particular type of sample. You'd benefit from summarizing your textbook explanations of different types of samples and making sure that you can easily give an example of each and every one of them.
Issac finished 8/10 homework problems and Phil answer 6/10 home work problems, so Issac finished the most and Issac will have to do 2 more homework problems
Answer:
31.6 sq.in i got by using 2pier formula
Answer:
Option A
The p-value is less than the significance level of 0.05 chosen and so we reject the null hypothesis H0 and can conclude that the proportion of the subjects who have the necessary qualities is less than 0.2.
Step-by-step explanation:
Normally, in hypothesis testing, the level of statistical significance is often expressed as the so-called p-value. We use p-values to make conclusions in significance testing. More specifically, we compare the p-value to a significance level "α" to make conclusions about our hypotheses.
If the p-value is lower than the significance level we chose, then we reject the null hypotheses H0 in favor of the alternative hypothesis Ha. However, if the p-value is greater than or equal to the significance level, then we fail to reject the null hypothesis H0
though this doesn't mean we accept H0 automatically.
Now, applying this to our question;
The p-value is 0.023 while the significance level is 0.05.
Thus,p-value is less than the significance level of 0.05 chosen and so we reject the null hypothesis H0 and can conclude that the proportion of the subjects who have the necessary qualities is less than 0.2.
The only option that is correct is option A.
Answer:.
Step-by-step explanation:
