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Q1) According to US Census Bureau, 7.1% of all births to non-smoking mothers are of low birth weight (<5 lbs, 8 oz.). Obstetrician wished to know whether mothers between ages of 35 and 39 years old gave birth to higher percentage of low birth weight babies. She arbitrarily selected 240 births where mother was 35-39 years old and found that 22 of them gave birth to low birth weight babies.
i) Write the hypothesis statement.
ii) Is this one or two tailed?
iii) What distribution are you using?
iv) What is the critical value?
v) How do you know?
At the .05 significance level, can we conclude that the guideline is still reasonable?
Findout the normal model for the given proportions. The professor has every student toss a coin 50 times also calculated the proportion
Categorize the events as dependent or independent. Events A and B where P (A) = 0.7, P (B) = 0.8, and P (A and B) = 0.56.
For a t distribution with 16 degrees of freedom, find the area, or probability, in each region.
This result prompts a test administrator to claim that standard deviation for eighth graders on examination is less than 29.At a = 0.10, is there sufficient evidence to support administrator's claim?
The average score on the stat midterm was 75 points with a standard deviation of 5 points, and Gregor's z-score was -2. How many points did he score.
If you did not know anything about standard deviation of population from which sample was taken, find out the 95% confidence interval for mean test score.
Utilizing the .05 level, do the results support the psychologists' theory. A psychologist theorized where people can hear better when they have just eaten a large meal.
One use of the Chi-square goodness of fit test is to determine if specified multinominal probabilities in the null hypothesis is correct.
Investigate the cost of a home mortgage and to determine the monthly payment.
The null hypothesis is that the distribution of mother's educational level is the same for both treatment groups. The value of the chi-square statistic is 7.422. Evaluate the P-value
Analyze the data using linear contrasts to make the following comparisons:
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