A random sample of 225 adults was given an IQ test. It was found that 112 of them scored higher than 100. Based on this, compute a 90% confidence interval for the proportion of all adults whose IQ score is greater than 100. Then find the lower limit and upper limit of the 90% confidence interval.Carry your intermediate computations to at least three decimal places. Round your answers to two decimal places. Lower limit= Upper Limit=

In a survey, 28 people were asked how much they spent on their child's last birthday gift. The results were roughly bell-shaped with a mean of $45 and standard deviation of $14. Construct a confidence interval at a 99% confidence level. Give your answers to one decimal place. ________+________

A box model is used to calculate a confidence interval in the following scenario: Statistics club at TYHS wants to know the average time students in TYHS spent on preparing for their standardized exams. They sampled 100 students from TYHS. They want to construct a confidence interval for the average time that students in TYHS spent on preparing for their standardized exams. For each of the following quantities in the box model, select the answer if the quantity is random, not fixed. Leave the quantities that are fixed unselected. Group of answer choices. You can select more than one answer the proportion of 0's in the box model the EV and SE of the sample average the average time of every student in TYHS spent on preparing for their standardized exams the sample average of students spent on preparing for their standardized exams

Imagine that a researcher wants to compare the intelligence levels of Poodles to all dogs.  He hypothesizes that Poodles will score differently than other dogs.  He uses a standard test of dog intelligence in his study. The population of all dogs has a mean of μ = 100, and an SD of 15.  He obtains a random sample of 500 Poodles and he finds that the mean intelligence score of the sample is 117.   Is this a one- or two- tailed test? Write the Ho and Ha for this research question. What kind of statistic should be calculated to test the hypothesis? Compute that statistic by hand What should the researcher conclude? Write a blurb describing the results

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