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A high school math teacher gave her 30 students a math exam. In this exam, the average scores for the high school students in the United States is 48.00. If she sets the significant level as 0.05, and she wants to know if her students' performance are different from the students in the United States, the type of data analysis and the critical value for this test are:
A. z-test, ±1.645
B. z-test, ±1.96
C. t-test, df=29, ±1.699
D. t-test, df=29, ±2.045
The degrees of freedom for a chi-square test on a two-way table with 2 columns and 5 rows is 4.
consider the accompanying data on plant growth after the application of different types of growth hormone.1.
Compute the variance and standard deviation of the number that will arrive within two days.
let x represent the absolute value of the difference between the number of heads and the number of tails when a coin is
Scores are normally distributed with a mean of 460 and standard deviation of 80. The top 2.5 percent of the applicants would have a score of at least.
control chart for x bar is maintained on a quality characteristic which is normally distributed.the sample size is n4.
Is it ok to change the level of significance to 0.05, because at that level you would be able to reject the null and accept the alternate?"
A company that manufactures computer chips wants to use a multiple regression model to study the effect that 4 different variables have on y, the total daily production cost (in thousands of dollars).
If a student scored 90 points on a test where the mean score was 82.2 and the standard deviation was 5.7. What steps do I do to find out the student's z score?
in hamilton countyohio the mean number of days needed to sell a house in 86 days. data for the sale of 40 houses in a
To compare the effectiveness of three types of pain relievers, a homogeneous group of 22 students were divided randomly into three groups, and each group took one of three pain relievers for a period of 2 weeks.
Change the frequencies to percentages - is there a group more likely to get high salaries.
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