Question: Across the months, there are differences in the average daily food consumption of koalas that are statistically significant. True False 0.25 points Question 8 Using

Across the months, there are differences in the average daily food consumption of koalas that are statistically significant.

True

False

0.25 points

Question 8

Using the bonferroni adjustment for your t-tests, what is the p-value for the comparison between August and November? (and yes it might seem a little odd) (Report to 1 Decimal place)

0.25 points

Question 9

For this example, if no adjustment for multiple comparisons is used, the conclusions drawn regarding pairwise differences between months change, relative to when the bonferroni method is used.

True

False

0.25 points

Question 10

Using the robust SE approach, what is the estimate of the slope? You need to report the value to three decimal places; do not use scientific notation.Important. The curve is downward sloping. That means the slope estimate is negative. Make sure you include the minus sign in your answer.

0.25 points

Question 11

For the robust SE approach, the summary table gives a t-statistic for a test where the null hypothesis is that the slope is zero. To one decimal place, what is this t-statistic value?

Important. The t-statistic will be a negative value. Make sure you include the minus sign in your answer.

0.25 points

Question 12

Using the gls() approach what is the estimate of the slope? You need to report the value to three decimal places; do not use scientific notation.

Important. The slope estimate will be negative. Make sure you include the minus sign as part of your answer.

0.25 points

Question 13

For the gls() approach the summary table gives a t-statistic for a test where the null hypothesis is that the slope is zero. To one decimal place, what is this t-statistic value?

Important. The t-statistic value will be negative. Please make sure you include the minus sign in your answer.

FebMayAugNov
4.74.63.85.3
4.94.45.75.2
4.84.33.65.4
4.84.45.45.1
4.74.13.75.6
4.25.8

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