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Fifty-five patients participated in the study of a new blood test for a particular disease. Their gender, age, duration that they have had the disease, level of a particular component in their blood (level A), and the value of the protein level obtained by the new test are in the data file protein .txt. The investigators of the new test want to know if it is influenced by the patients age, disease duration, or level A value.
(a) Write a report to address this question.
(b) Consider the gender of the patients and write a brief report.
Synthesis and evaluate findings and present same in a professional manner to a varied audience
Which promises the profit of $24,000 with the probability of .7 or a loss (due to bad weather, strikes, and such) of $8000 with the probability of .3. Determine the expected profit?
In fitting the simple linear regression model Yi ~ N (α + β xi, σ 2 ) to the following data:
Conditional and compound probabilities.The table below gives the distribution of blood types by gender in a group of 1000 individuals.
Do these data provide sufficient evidence to indicate that the mean for the population is less than 8 hours? assume a normally distributed population.
the 70-year long-term record for weather shows that for new york state the annual precipitation has a mean of 39.99
a random sample of 10 has a mean of 110. test the null hypothesis that micro 120 against the alternative hypothesis
Estimate the mean number of cars per household for the population of households in the neighborhood. Give the 95% confidence interval.
Based on these data, is it plausible that the proportions of female office workers who often feel abused at work are the same for these countries?
I performed a linear regression for the Population to the monthly profit, but do not understand how to use the information. And I do not understand the confidence interval estimate; how do I use and decipher the info.
1 the number of traffic accidents that occur on a particular stretch of road during a month follows a poisson
If mean height when these plants are treated with the certain chemical varies from 185. Define the null hypothesis H0 and alternative hypothesis H1 which we would use for this test.
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