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A researcher believes that the percentage of people who exercise in California is greater than the national exercise rate. The national rate is 20%. The researcher gathers a random sample of 120 individuals who live in the California and finds that the number who exercise regularly is 31 out of 120.
a) What is X2obt?
b) What is df for this test?
c) What is X2cv?
d) What conclusion should be drawn from these results?
How large a sample is required if the 97 percent level of confidence is used and the estimate is to be within $2,500? The standard deviation is $16,000.
What is the probability that Sara will die in her 60 th year? Using this probability and the $50,000 death benefit, what is the expected loss to Big Rock Insurance?
For the data shown below, prepare a x-bar chart. Note that the sample size is three. Record the values for the UCL, center line, and LCL. In addition, note any points that are out of control.
At α = 0.01 level of significance, test the hypothesis that these data can be described by a Poisson pdf.
Answer the following three questions based on what you know about statistics now.
Bougainvilleas, mean growth rate was 2.23 inches/week and sample standard deviation was 0.77 inches/week. Determine a 90% confidence interval for mean growth rate of all Bougainvilleas.
The CEO of the business has nothing better to do wheras measured the temperatures of 26 department managers 1 to 4 times every day to get a total of 123 measurements.
Is there evidence to suggest a difference in the mean waiting times at the four body shops?
These individuals are then examined and categorized as to whether they have a heart disorder. The observed frequencies are as follows:
Visits to Web sites. What kinds of Web sites do males aged 18 to 34 visit most often? Pornographic sites take first place, but about 50 percent of male Internet users in this age group visit an auction site such as eBay at least once a month. Inte..
Multiple choice question using Forecasting techniques. Which among of the following models are best suited to forecast a time series with a stable seasonality component.
In a mobile phone shop on a Sunday morning, out of n = 77 customers x = 19 buy a mobile phone. What is the 95% confidence interval for the proportion of customers buying a mobile phone?
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