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In studies for a medication, 13 percent of patients gain weight as a side effect. suppose 514 patients are randomly selected. Use the normal approximations to the binomial to approximate probability that
A. Exactly 64 patients will gain weight as a side effect B. 64 or fewer patients will gain
Can you provide some pros and cons of using descriptive and inferential statistics to make managerial decisions.
Construct a test of 20 objective type items in your subject. Administer test to a group of 50 students conduct an item analysis and write a report. Explain the meaning of co-efficient of correlation. Why does the homogeneity and heterogeneity of sco..
Explain what the coefficient of determination, R^2 (R-squared), measures. How is it related to the sample correlation coefficient?
By law of averages. Bystander suggests him to quit, on ground that his luck is cold. Who is correct? Or are both of them wrong?
We are certain the the average difference in reaction times between the two light types for all golfers is between 0.27 and 7.13.
You are responsible for planning the parking needed for a new 256-unit apartment complex, and you're told to base the needs on the statistic "average number of vehicles per household is 1.7."
Farmers know that driving heavy equipment on wet soil compresses the soil and injures future crops. Here are data on the "penetrability" of the same type of soil at 2 levels of compression.
Carry out a hypothesis test to see if our belief can be supported. State the null hypothesis and the alternative hypothesis that we would use for this test.
A random sample of 15 first-year CMAs in Denver produces a mean salary of $32,279, with a standard deviation of $1,797. Test the hypothesis that the mean for all Denver first-year CMAs is not equal to $31,129. Use the .05 level of significance.
Is a sample of 25 papers large enough to provide a good estimate of the mean score of all 42,000 students on this exam problem? Justify your answer.
Discuss whether the percent distribution of the cross-tab and chi-square supports/does not support the researcher's hypothesis.
Twelve cases of leukemia are reported in people living in a particular census tract over a 5-year period. Is this number of cases abnormal if only 6.7 cases would be expected based on national cancer-incidence rates?
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