Suppose a study reports that the average price for a gallon of self-serve

    Question
    2

    Suppose a study reports that the average price
    for a gallon of self-serve regular unleaded gasoline is $3.16. You believe that
    the figure is higher in your area of the country. You decide to test this claim
    for your part of the United States by randomly calling gasoline stations. Your
    random survey of 25 stations produces the following prices (all in $). Assume
    gasoline prices for a region are normally distributed. Did the data you
    obtained provide enough evidence to reject the claim? Use a 1% level of
    significance. Make sure you clearly state both the null and the alternative
    hypotheses in full sentences. Following your calculations, clearly state the
    conclusion in the same manner (do not simply say “accept/reject “null”) and
    explain how you arrived at this conclusion (based on which metrics).
    Question 4

    To answer this question, use the Data Analysis Toolpack in
    Excel and select “t-Test: Two-Sample Assuming Equal Variances” from the list of
    available tools. Conduct a hypothesis test using this tool. Explain your answer
    (how you decided if men spend more or not) and include the output table. Some
    studies have shown that in the United States, men spend more than women buying
    gifts and cards on Valentine’s Day. Suppose a researcher wants to test this
    hypothesis by randomly sampling 9 men and 10 women with comparable demographic
    characteristics from various large cities across the United States to be in a
    study. Each study participant is asked to keep a log beginning 1 month before
    Valentine’s Day and record all purchases made for Valentine’s Day during that
    1-month period. The resulting data are shown below. Use these data and a 1%
    level of significance to test to determine if, on average, men actually do
    spend significantly more than women on Valentine’s Day. Assume that such
    spending is normally distributed in the population and that the population
    variances are equal. Make sure you clearly state both the null and the
    alternative hypotheses in full sentences. Include the output table; then
    clearly state the conclusion in the same manner (do not simply say
    “accept/reject null”), and explain how you arrived at this conclusion (based on
    which metrics).

    Men Women
    107.48 125.98
    143.61 45.53
    90.19 96.35
    125.53 80.62
    70.79 46.37
    83 84.34
    129.63 75.21
    154.22 68.48
    93.8 65.84
    126.11

    Order for this paper or request for a similar assignment by clicking order now below

    Order Now

    Do NOT follow this link or you will be banned from the site!