A researcher claims that exactly 40% of all adults in the U.S. use their cell phone for most of their online browsing. You believe that the true proportion is different. To test this, you take a simple random sample of 200 adults in the U.S and find that 43% of them use their phone for most of their online browsing. Test at 5% significance. Round to the fourth H0H0:Select an answer x̄ p̂ μ p Select an answer = < > ≠ HAHA:Select an answer x̄ p̂ μ p Select an answer = < > ≠ What's the minimum population size required? How many successes were there? Test Statistic: P-value: Did something significant happen? Select an answer Significance Happened Nothing Significant Happened Select the Decision Rule: Select an answer Reject the Null Accept the Null Fail to Reject the Null There Select an answer is is not enough evidence to conclude Select an answer that the proportion of all adults in the U.S. who use their cell phone for most of their online browsing is exaclty 0.4 that the proportion of all adults in the U.S. who use their cell phone for most of their online browsing is different than 0.4 Build a 95% confidence interval and decide if you can conclude the same. Use your calculator to do this and round to the fourth decimal place. (,) Can we conclude the same as our Hypothesis Test? ? no yes because the true proportion of U.S. adults that use their cell phones for most of their online browsing Select an answer is exactly 0.4 because it's in our interval could be 0.4, but it could also be a proprotion above or below 0.4, we really can't say. The results are inconclusive. is definitively, significantly different that 0.4 because none of our estimated proportions are 0.4
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
A researcher claims that exactly 40% of all adults in the U.S. use their cell phone for most of their online browsing. You believe that the true proportion is different. To test this, you take a simple random sample of 200 adults in the U.S and find that 43% of them use their phone for most of their online browsing. Test at 5% significance.
Round to the fourth
H0H0:Select an answer x̄ p̂ μ p Select an answer = < > ≠
HAHA:Select an answer x̄ p̂ μ p Select an answer = < > ≠
What's the minimum population size required?
How many successes were there?
Test Statistic:
P-value:
Did something significant happen? Select an answer Significance Happened Nothing Significant Happened
Select the Decision Rule: Select an answer Reject the Null Accept the Null Fail to Reject the Null
There Select an answer is is not enough evidence to conclude Select an answer that the proportion of all adults in the U.S. who use their cell phone for most of their online browsing is exaclty 0.4 that the proportion of all adults in the U.S. who use their cell phone for most of their online browsing is different than 0.4
Build a 95% confidence interval and decide if you can conclude the same. Use your calculator to do this and round to the fourth decimal place.
(,)
Can we conclude the same as our Hypothesis Test?
? no yes because the true proportion of U.S. adults that use their cell phones for most of their online browsing
Select an answer is exactly 0.4 because it's in our interval could be 0.4, but it could also be a proprotion above or below 0.4, we really can't say. The results are inconclusive. is definitively, significantly different that 0.4 because none of our estimated proportions are 0.4
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