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What is the estimated standard error for the independent-measures t statistic for the following two samples?
Sample 1: n = 4 with SS = 100.Sample 2: n = 8 with SS = 140.
a. 24b. 9c. 3d. 242
How large should the sample size be if she wishes to be accurate within $0.10. A previous study showed that the standard deviation of the price was $.12.
Dark treatment is between 0.26 and 1.14 cm shorter than the (population) mean for plants with the Light treatment. Discussion: Are Dark shorter than Light?
A marketing research firm wishes to estimate the proportion of adults who are planning to buy a new car in the next 6 months. A simple random sample of 100 adults led to 22 who were planning to buy a new car in the next 6 months.
Heights are sampled of kids from three schools. Using a 0.05 significance level, if when looking at ANOVA results, your p-value is 0.04, what can you say about your sample data? no minimum word count.
Pearson correlation coefficient was 0.61.a. Was the correlation coefficient significantlydifferent from zero? Use α = 0.05.b. Predict the torque for a current equal to 50 mA.
Create a 95% confidence interval for true mean debt for student borrowers.
suppose that 12 observations are drawn from a normal population. the observations are 15 912 11 8 12 11 7 15 9 6 and
NCAA Basketball Tournament. Each year, 64 college basketball teams compete in the NCAA tournament. Sandbox.com recently offered a prize of $10 million to anyone who could correctly pick the winner in each of the tournament games.
The table given below shows numbers of patients classified as underweight, normal weight, overweight and obese according to their diabetes status. Determine the probability that they are overweight?
Determining sample-size is important step when planning a statistical study. It is also quite a difficult task since many variables must be considered.
If one person is picked at random from all the people represented in the table, what is the probability of the following events?
Using a .05 level of significance, test whether the sample results indicate that the manufacturing process is functioning properly.
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