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Hockey-r-us," a store specializing in sales of hockey equipment, wants to find out the average age of all its customers.
A sample of 100 is taken from a population which has a normal distribution with a mean of 80 and a standard deviation of 40.
Find the power of your test in (b) when sigma = 1.2, 1.4 and 1.6, approximating the answers as best the percentage points in the tables permit.
The area under the standard normal curve with parameters m = 64.4 and o= 2.4 that lies to the left of 61 is 0.0783.
Stress Management alone; Medication alone; Both Stress Management and Medication; Neither Stress Management or Medication.
Construct a spreadsheet to make two plots of a Gaussian distribution:
You have 25 samples of data with 5 parts measured in each sample to get the Xbar and R (Range). Use this data shown in the table.
At what value should YUMM set µ so that the probability is 0.95 that the weight in any given single box is at least 450 grams?
Enter the data into SPSS and carry out an appropriate hypothesis test. Report the table of means and standard deviations and the table of test results.
Assume body temperatures are normally distributed with mean of 98.2 and a standard dev. of 0.62
Is the standard deviation of the sample a good estimate of the variation of salaries of TV personalities in general?
If a normal distribution of empirical scores is converted to a distribution of z scores:
Is it possible for the shapes of these three distributions to be different? Describe a brief scenario where this may happen.
All standard IQ test scores are normally distributed and are set up so that the mean score is 100. However, the standard deviation differs from test to test
Assume the financing gurus of a weekend investment television program predicted a 50% chance of XYZ stock gaining in January and a 50% chance.
Do one of the following as appropriate: Do one of the following as appropriate:
How do I know which distribution to use for the following and when/where do tables apply?
For n=17. Find P(t<-1.746) a) .05 b).95 c).45 d) 1.0
The mean for a special distribution is 100 and the standard deviation is 15. What is the estimated percentile for an individual who had a score of 90
Discuss concepts such as positive and negative correlations, correlation coefficients, confounding, and causality.
In a normal distribution with a standard deviation of 5.0, the probability that an observation selected at random exceeds 21 is 0.14 (14%).
Square of the sum of all the values of the variable x in the dataset, square of the sum of all the values of the variable x in the dataset.
Nurses saleries are Normally distributed with mean of 35,000 and standard deviation$1700.
Does the author identify the independent and dependent variables? Does the author state how the independent and dependent variables are related?
State the conclusion for this test at the 0.05 level of significance. Do you think the car dealer is telling the truth? Why or why not?