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Q1) The confidence interval of a quantitative variable is centered on the mean and has a margin of error that is added and subtracted to

Q1) The confidence interval of a quantitative variable is centered on the mean and has a margin of error that is added and subtracted to determine the confidence limits for that mean. What is the margin of error for the variable OWL in your data set? (Alpha chosen is 0.04)

Q2) What is the test statistic you needed to use to calculate the previous value?

Options: z?2/

Cannot calculate because we dropped this variable or it was not in our data set

t?2/,df

?

Q3) According to your calculations, what are the upper and lower confidence limits for the variable FOX in your data set? (Answer precision to 3 decimal places, even if those are 0s.) Provide lower limit first, then upper limit.

Q5) Show your calculations for 1 ( and only 1) of the these two variables: SEAL or MAN. Include the number in the centre of the range, the values used to calculate the confidence interval and the final values.

Q6)Can you calculate a confidence interval for "LOOK"?

Options: Yes, No, Not enough information needed

Q7) Justify your last answer.

Q8)What is the value in the centre of the confidence interval for LOOK?

Options: Cannot be calculated

p0

p-

y??

x??

Q10)What values did you calculate for he confidence limits for LOOK? (Show lower limit first and upper limit second.)

image text in transcribed
Data Set 2 2020 Element Gender OWL FOX LION SEAL MAN looking ranking EE_11879 5.62 2.61 3.54 1.58 2 EE_9053 2.47 5.32 2.32 4.96 EE_19468 1 1.82 3.47 4.11 3.82 EE_22386 1.77 5.06 3.54 4.72 2 EE_8786 2.21 3.16 3.09 2.77 EE_21996 2.64 1.78 1.19 1.93 3.86 EE_28489 1 2.81 1.11 1.09 2.73 EE_23295 1 3.05 2.81 2.91 2.92 2 EE_21757 3.21 2.64 2.55 3.17 4.84 2 EE_24784 3.37 4.41 2.18 4.26 2 EE 5265 3.31 5.41 2.91 2.25 1.62 2 EE_17991 1 3.51 4.31 3.15 4.42 1.67 2 2 EE_20184 3.95 2.87 2.81 3.46 2.15 2 2 EE_27734 1 3.93 3.84 3.42 1.99 2 2 EE_21107 2 4.18 3.53 3.82 1.54 1.37 2 2 EE_16500 4.13 5.11 3.75 3.32 1.37 2 2 EE_12321 4.14 4.14 4.26 1.55 2 2 EE_26043 4.23 4.37 2.87 2.77 2.01 2 2 EE_7000 2 4.39 1.57 2.23 3.85 2 2 EE_9438 2 3.97 2.93 3.39 2.85 2 EE_19301 2 4.31 2.32 4.04 3.11 1.68 2 2 EE_26444 2 4.34 3.21 1.21 4.71 1.74 2 2 EE_6601 2 3.69 2.22 4.83 1.14 2 3 EE_24986 2 4.55 2.44 4.88 1.53 1.19 2 3 EE_18570 2 4.78 3.85 2.48 4.56 2 3 EE_5471 2 4.76 4.12 4.55 3.55 1.35 2 3 EE_14878 2 4.81 1.89 4.06 4.97 2 3 EE_16074 2 4.83 2.71 1.11 2 3 EE 5218 2 4.91 1.63 2.73 1.83 2 3 EE_21425 2 5.14 4.14 3.42 4.58 4.83 2 3 EE_19488 2 5.47 4.69 5.25 4.45 2 3 EE_26877 2 5.43 2.77 3.42 3.76 1.17 2 3 EE_21508 2 5.54 3.66 3.06 4.44 3 EE_18894 2 3.85 3.61 2.96 3.38 1.32 2 3 EE_25044 2 5.78 3.86 3.87 3.84 2.86 2 3

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