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Question 1: In an annual report to investors, an investment firm claims that the share price of one of their bond funds had very little

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Question 1: In an annual report to investors, an investment firm claims that the share price of one of their bond funds had very little variability. The report shows the average price as $17.00 with a variance of 0.13 One of the investors wants to investigate this claim. He takes a random sample of the share prices for 18 days throughout the last year and finds that the standard deviation of the share price is 0.1939 Can the investor conclude that the variance of the share price of the bond fund is different than claimed at ?=0.05 ? Assume the population is normally distributed.

Step 1 of 5:

State the null and alternative hypotheses. Round to four decimal places when necessary.

Step 2 of 5:

Determine the critical value(s) of the test statistic. If the test is two-tailed, separate the values with a comma. Round your answer to three decimal places.

Step 3 of 5:

Determine the value of the test statistic. Round your answer to three decimal places.

Step 4 of 5:

Make the decision (reject or fail to reject null hypothesis)

Step 5 of 5:

What is the conclusion?

Question 2:

The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, y?=b0+b1xy^=b0+b1x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.

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Step 4 of 6: Determine the value of the dependent variable I}? at x = 0. Answer 2 Points Copy Data Step 5 of 6: Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable y.Step 5 of 6: Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable y.Step 3 of 6: Determine the value of the dependent variable 3? atx = 0. Answer 2 Points

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