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Find the z score for 1.645 related with the alpha of .05 using standard normal areas statistical tables. Then, using the Student's t distribution statistical table, determine 1.645 value. Describe why t distribution approaches z distribution as sample size gets larger.
Solve the equations using linear algebra
Discuss at least three reasons why these predictions may not be accurate and offer three ways in which you can increase the likelihood of accurately predicting your customers' purchases.
A True-False test was developed for a Risk Management class. A student, who didn't study, decided to randomly guess the answer on each question.
The amount of time a bank teller spends with each customer has a population mean = 3.1 minutes and population standard deviation = 0.4 minute.
State the number of degrees of freedom that are associated with each of the following extra sum of squares and why this is the case:
A survey conducted by the American Automobile Association showed that the family of four spends an average of $215.60 per day while on vacation. Suppose a sample of 64 families of four vacationing at Niagara Falls results in a sample mean of $252...
Assume that the number of left-handers is a binomial random variable. (Refer to the formula for mean and standard deviation for binomial prob. Distribution)
Draw a scatterplot indicating a strong negative relationship between the variables pf income and mental illness. Be sure to label the axes correctly.
The heights of young women are approximately normal with mean 65 inches and standard deviation 2.5 inches.
State the main points of the Central Limit Theorem for a mean. Why is population shape of concern when estimating a mean? What does sample size have to do with it?"
A survey of 600 non-fatal accidents showed that 111 involved the use of a cell phone. Find a point estimate for p, the population proportion of accidents that involved the use of a cell phone.
A manufacturing process produces items whose weights are basically distributed. It is known that 22.57% of all the items produced, weigh between 100 grams up to the mean and 49.18% weigh from the mean up to 190 grams.
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