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A random sample of 20 purchases showed the amounts in the table (in $).20.2021.7462.4182.1644.3945.3266.5546.6727.1551.2485.6431.8471.8553.0233.7486.9314.8154.3277.2359.17The mean is $51.82 and the standard deviation is $22.32.a.) what is the standard error of the mean? (round to two decimal places as needed)b.) How would the standard error change if the sample size was 5 instead of 20 with the same sample standard deviation? Select the correct choice below and fill in any blanks within your choice?a.) the standard error would increase. The new standard error would be ___ times the old?b.) The standard error would decrease. The new standard error would be the old standard error divided by ___?c.) The standard error would not change
Explain the difference between a normal Distribution and a binomial distribution. How do we know which one to use?
Consider the situations and comment on whether the sample results might cause concern about the quality of the process.
The variance of each of the following sets of scores
What is the deference between a complete factorial design and an incomplete factorial design and explain the difference between a two-way AMOVA and a three-way ANOVA.
What does p = .05 mean? What are some misconceptions about the meaning of p = .05? Why are they wrong? Should all research adhere to the p = .05 standard for significance? Why or why not?
A marketing analyst in a large grocery store chain
The option to buy extended warranties is commonplace with most electronics purchases.But does the type of purchase affect a consumer's willingness to pay extra for an extendedwarranty? Data for 420 consumers who purchased big screen TVs and la..
Give the state transition probability matrix
How would you interpret these results in terms of the likely precision of the sample means as estimators of their respective population means?
A foreign language course and a psychology course?
Assume Z is a random variable with a standard normal distribution ( the is, a mean =0 and a standard deviation of 1). What is P(Z -0.5) ?
Construct 90% and 95 % confidence intervals for the population proportion. Interpret the results and compare the widths of the confidence intervals. If convenient, use technology to construct the confidence intervals.
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