Statistics
... • What scale of measurement are you using? • What was the range? • Compute the mean, median and mode. • What is your distribution like? ...
... • What scale of measurement are you using? • What was the range? • Compute the mean, median and mode. • What is your distribution like? ...
1) At a charity ball, 800 names were put into a hat. Four of the names
... 12) An analyst is conducting a hypothesis test to determine if the mean time spent on investment research is different from 3 hours per day. The test is performed at the 5 percent level of significance and uses a random sample of 64 portfolio managers, where the mean time spent on research is found ...
... 12) An analyst is conducting a hypothesis test to determine if the mean time spent on investment research is different from 3 hours per day. The test is performed at the 5 percent level of significance and uses a random sample of 64 portfolio managers, where the mean time spent on research is found ...
Stats 1
... Assumes your samples are randomly collected and fit a normal distribution If your sample is large with a small standard deviation, then your calculated mean likely is close to the actual mean The CI is a calculation based upon sample size and standard ...
... Assumes your samples are randomly collected and fit a normal distribution If your sample is large with a small standard deviation, then your calculated mean likely is close to the actual mean The CI is a calculation based upon sample size and standard ...
Applied Statistics
... The “grey” areas of statistics Q: How important is the normal distribution? A: The “big” tests such as ANOVA and repeated measures ANOVA, but also the t-tests for larger sample sizes, can “cope” with having only approximate normal distribution. Q: How important is the equality of variance? A: Very! ...
... The “grey” areas of statistics Q: How important is the normal distribution? A: The “big” tests such as ANOVA and repeated measures ANOVA, but also the t-tests for larger sample sizes, can “cope” with having only approximate normal distribution. Q: How important is the equality of variance? A: Very! ...
sampling distribution of differences between two
... Obviously, our interest is in determining whether it is likely that the two samples came from different populations. Hence, the most common null hypothesis is that X1 X 2 or that X1 X 2 0 for the twotailed case. The null hypothesis says that the means for the two samples are from the s ...
... Obviously, our interest is in determining whether it is likely that the two samples came from different populations. Hence, the most common null hypothesis is that X1 X 2 or that X1 X 2 0 for the twotailed case. The null hypothesis says that the means for the two samples are from the s ...
SECTION 9.3 – SIGNIFICANCE TESTS ABOUT MEANS
... The following figures refer to the actual weights (in ounces) of a simple random sample of ten "one-pound" cans of peaches distributed by a company. It is known that weights of this type vary with a Normal distribution. ...
... The following figures refer to the actual weights (in ounces) of a simple random sample of ten "one-pound" cans of peaches distributed by a company. It is known that weights of this type vary with a Normal distribution. ...
Math 12 Elementary Statistics Marcella Laddon, Instructor
... In this section we are again estimating a population mean, only now we do not know σ . Assumptions: 1) the sample is a simple random sample and 2) either the population is normally distributed and/or n > 30. We must use the t distribution – either on your calculator, or from table A-3. Notice in cal ...
... In this section we are again estimating a population mean, only now we do not know σ . Assumptions: 1) the sample is a simple random sample and 2) either the population is normally distributed and/or n > 30. We must use the t distribution – either on your calculator, or from table A-3. Notice in cal ...
