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The mean ± 1 sd of In [calcium intake (mg)] among 25 females, 12 to 14 years of age, below the poverty level is 6.56 + 0.64. Similarly, the mean ±1 sd of In [calcium intake (mg)]among 40 females, 12 to 14 years of age, above the poverty level is 6.80 018 ±.76.
What is the appropriate procedure to test a significant difference in means between the two groups? Use the critical-value method.
Explain the applications of statistics in your own field (Business Administration/Accounting) - Construct a stem and leaf display.
Describe the advantages and disadvantages of quasi-experiments? What is the fundamental weakness of a quasi-experimental design? Why is it a weakness? Does its weakness always matter?
Suppose that past data are not available for developing a planning value for p; therefore, you will use p = 0.050 for the planning average.
At the .01 significance level can we conclude the mean age is more than 8.4 years for the cars of university students? Compute the value of the test statistic.
A survey of the number of calls received by a sample of Southern Phone Company subscribers last week revealed the following information.
Compare value of test statistics F obtained in part(2) with value of t 2 , square of test statistic for testing H 0 : β 1 =0 that was needed in test null hypothesis that true slope is 0. Interpret the results of this test.
Testing for Population mean - Can the difference in average educational level between the sample and the nation be explained by chance variation?
Conduct the hypothesis test and compute the p-value. At a 0.05 level of significance, what is your conclusion?
A survey is being planned to determine the mean amount of time corporation executives watch television. A pilot survey indicated that the mean time per week is 20 hours, with a standard deviation of 5.5 hours
At.01 significance level, can we conclude that 30-year mortgage rate for small banks is less than 6%? Evaluate the p-value.
Can we conclude that car size is dependent on marital status? YES or NO (circle one)
The standard deviation of the population of adult female height scores is 3 inches. A random sample of 50 women yields a mean height of 64 inches. Calculate the standard error of the mean.
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