6. "In statistical inference for proportions, standard error (SE) is calculated differently for hypothesis tests and confidenceintervals." Which of the following is the best justification for this statement?Because in hypothesis testing, we assume the null hypothesis is true, hence we calculate SE using the null value ofthe parameter. In confidence intervals, there is no null value, hence we use the sample proportion(s).Because in hypothesis testing we're interested in the variability of the true population distribution, and inconfidence intervals we're interested in the variability of the sampling distribution.Because if we used the same method for hypothesis tests as we did for confidence intervals, the calculation wouldbe impossible.Because statistics is full of arbitrary formulas.7. An introductory stats professor hypothesizes that 50% of students learn best by watching the videos, 10% by reading thebook, 20% by solving questions, and the rest from the discussion forums. She surveys a random sample of a large sampleof students asking them how they learn best, and wants to use these data to evaluate her hypothesis. Which methodshould she use?hypothesis test for a single meanANOVAX2 test of independenceX test of goodness of fitF-testt-test

In statistical inference for proportion, standard error (SE) is calculated differently for…

Answered: 6. "In statistical inference for…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A professor warts to make sure that two different versions of a test are equivalent He decides to compare the variances of the test scores from ach version.Aample of 15 scores on Version A has a sample variance of 1.626, while a sample of 19 scores from Version B has a sample variance of 4.803 Step 2 of 2: Interpret the confidence interval obtained in Step 1. Answer Tabis Nepod Reyboand thortom O Since the confidence interval.contags F the data do not provide evidence that the population variances are unegual at a 95% confidence lert There is sufficient evidence fortheprofessor to conclude with 95% confidence that the variance in test scores for Version Ais sigrficantly larger than the variance for Version B. O Since the confidence interval'does not contain 1. the data do not provide evidence that the population variances are luneal at a 95% confiderice invel There is sufficient evidence for the professor to condlude with 95 confidence that the variance in test scores fer version Bis…
Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up rejecting the null hypothesis in error. True False
This exercise is based on summary statistics rather than raw data. This information is typically all that is presented in published reports. You can perform inference procedures by hand from the summaries. Use the conservative Option 2 (degrees of freedom the smaller of n1 1 and n2 1) for two-sample t confidence intervals and P-values. You must trust that the authors understood the conditions for inference and verified that they apply. This isn't always true. Equip male and female students with a small device that secretly records sound for a random 30 seconds during each 12.5-minute period over two days. Count the words each subject speaks during each recording period, and from this, estimate how many words per day each subject speaks. The published report includes a table summarizing six such studies. Here are two of the six. ESTIMATED AVERAGE NUMBER (SD) OF WORDS SAMPLE SIZE SPOKEN PER DAY STUDY WOMEN MEN WOMEN MEN 1 56 56 16,177 (7520) 16,569 (9108) 27 20 16,496 (7914) 12,867…
Suppose that a random sample of 11 scores from a population of test scores is to be used to estimate the population mean and standard deviation. If a 95% confidence interval for the mean is constructed , it contains values that are within _____ standard deviations of its mean.
When conducting a hypothesis test, what would it mean if the researcher obtains a negative test statistic? The sample is too small. It’s very unlikely the results would have occurred just by chance alone. The sample statistic is smaller than the claimed population parameter. A mistake was made in terms of calculating the test statistic. The sample statistic is larger than the claimed population parameter.
A news article that you read stated that 58% of voters prefer the Democratic candidate. You think that the actual percent is smaller. 150 of the 300 voters that you surveyed said that they prefer the Democratic candidate. What can be concluded at the 0.05 level of significance? For this study, we should use The null and alternative hypotheses would be: Ho: (please enter a decimal) Ha: (Please enter a decimal) The test statistic = (please show your answer to 4 decimal places.) The p-value = (please show your answer to 4 decimal places)
23
If the p-value is very large (say close to 1), then it is likely that we will reject the null hypothesis. True False
Suppose we know that a confidence interval for a population proportion is (0.105,0.355), with a sample proportion of p̂=0.23. What is the margin of error?
In doing a test of statistical significance, you will have made a Type I error if you concludethat there is no difference between means in the population when in fact there is a difference the absence of a difference in the samples is due to chance any difference in the samples is due to chance there is a difference between means in the population when in fact there is no difference
Which of the following is often true for very large samples Significance tests are likely to produce statistically significant results even when the true value is close to the null value. The results will be statistically significant only when there is a true difference between the parameter and the null value. Significance tests are likely to produce nonsignificant results when the true value is close to the null value. A confidence interval will likely cover all possible values in the population.
Please don’t use programming to answer the question. Please don’t use codes as an answer for the question.

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