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The mean ± 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 among the poverty level is 6.80 ± 0.76.
Question: what is the appropriate procedure to test for significant difference in means between two groups? Implement the procedure using the critical-value method and what is the p-value?
Make an Excel line graph of the data on computer viruses. Discuss the underlying causes that might explain the trend or pattern.
Compute b1, slope of an OLS regression line using dollars spent as dependent variable (Y) and age as independent variable (X).
Based on the Nielsen ratings, the local CBS affiliate claims its 11 p.m. newscast reaches 41% of the viewing audience in the area. In a survey of 100 viewers, 36% indicated that they watch the late evening news on this local CBS station. What is t..
Critically discuss some concepts behind variance analysis? Why is it important to test for variances in your data? Explain. How is variance analysis used in health care administration?
Use Random Number Generation (RNG) in Analysis ToolPak of Excel to generate n = 5 observations from the Normal distribution N(20, 5). Construct the 95% confidence interval for μ.
A real estate builder wishes to determine how house size (house) is influenced by family income (income), family size (Size) and education of the head of household (School).
Determine regression equation. Use assets as independent variables. For fund with $400.0 million in sales, determineut five-year rate of return (in percent).
Develop percent frequency distribution and construct bar chart and pie chart.
Compute the unit manufacturing cost of the product under the contribution approach. Compute the effect on net income of accepting a special order for 500 units at $10 per unit assuming excess capacity.
The statistical technique used in the regression analysis. The sum of squares is a mathematical approach to determining the dispersion of the data points.
Chi-square tests are great to show if distributions differ or if two variables interact in producing outcomes. What are some examples of variables that you might want to check using the chi-square tests? What would these results tell you?
In a normal frequency distribution, 32% of the cases:
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