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Test the significant difference between two mean.
We recalculated our comparison of ideal number of children, this time only for women, separating them into two groups, those who indicated that they were "very happy" or "not at all happy" with life. Results are presented below.
Very Happy
Not Happy at All
Mean ideal number of children
3.32
2.07
Standard deviation
2.91
1.52
V
338
119
Obtained t statistic
1.99
Based on a two-tailed test, α = 0.05. What do you conclude?
By using standard normal table, determine critical value (or values) for= 0.14 right-tailed test.
What is the minimum sample size needed in order for you to be 95% confident that your estimate is within 5 of µ? Use the value 20 for the population standard deviation of scores on this subsection.
State the null and the alternative hypotheses. Using the p-value approach, test to determine whether or not the mean age of all employees is significantly more than 40 years.
Find a 99% confidence interval estimate of the proportion of people who say that they voted.
Calculate the probability that the median of the sample or average medians is:
Iit is known that signal change in this brain area is normally distributed with mean of 35 and standard deviation of 10. By using .01 level, what must researcher conclude?
Describe your answer to a person who has never had a course in statistics.
For a standard normal curve, find the z-score that separates the bottom 90% from the top 10%.
Makers of generic drugs are required to demonstrate that their generic drug does not differ significantly from the "reference" drug it is intended to imitate.
If employee is chosen at random, determine these probabilities.The Employee smokes, The employees smokes, given that he/she graduated from college.
Sample data recently collected indicate that Dough Boy's crusts average 30 centimeter in diameter, with a standard deviation of 1.1 centimeters.
Carry out test of independence to find out whether employee health insurance coverage is independent of size of company. Use α = 0.05 level of significance.
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