Based on the instructions now posted in your data set, you will construct a Confidence Interval for one of your quantitative variables and conduct a hypothesis test for the other quantitative variable. For the Confidence Interval: 1. Report the interval. 2. Interpret the confidence interval in terms of the specific variable.

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Estimation and Hypothesis Tests
Based on the instructions now posted in your data set, you will construct a Confidence Interval
for one of your quantitative variables and conduct a hypothesis test for the other quantitative
variable.
For the Confidence Interval:
1. Report the interval.
2. Interpret the confidence interval in terms of the specific variable.
For the Hypothesis Test:
1. State the null and alternative hypotheses in the context of the specific variable.
2. Report the t test statistic and its meaning.
3. Report the p-value and its meaning.
4. Draw your conclusion. Include the comparison of the p-value to the level of significance,
whether you reject or fail to reject the null hypothesis, whether the results are statistically
significant or not, and your concluding statement in the context of the specific variable.
Transcribed Image Text:Estimation and Hypothesis Tests Based on the instructions now posted in your data set, you will construct a Confidence Interval for one of your quantitative variables and conduct a hypothesis test for the other quantitative variable. For the Confidence Interval: 1. Report the interval. 2. Interpret the confidence interval in terms of the specific variable. For the Hypothesis Test: 1. State the null and alternative hypotheses in the context of the specific variable. 2. Report the t test statistic and its meaning. 3. Report the p-value and its meaning. 4. Draw your conclusion. Include the comparison of the p-value to the level of significance, whether you reject or fail to reject the null hypothesis, whether the results are statistically significant or not, and your concluding statement in the context of the specific variable.
State
Size of Land in Acres
Price per Acre in Dollars
13500
Date
August 2013
August 2013
Illinois
152
Illinois
339
10738
Illinois
261
7600
November 2013
Illinois
338
13250
December 2013
Illinois
362
10737
December 2013
Illinois
73
15000
Winter 2014
Illinois
542
12786
Winter 2014
February 2014
February 2014
February 2014
Illinois
59
2750
Illinois
1431
11750
Illinois
80
10750
Illinois
542
12786
March 2014
Illinois
75
12100
March 2014
April 2014
May 2014
May 2014
Illinois
73
15000
Illinois
166
9009
Illinois
960
14583
Illinois
Illinois
176
13920
June 2014
1553
5280
June 2014
July 2014
August 2014
August 2014
Illinois
144
12900
Illinois
540
13127
Illinois
87
12700
Illinois
1342
7086
October 2014
Illinois
132
9030
October 2014
Illinois
80
6400
November 2014
Illinois
765
5483
December 2014
Illinois
116
8534
Winter 2015
Illinois
294
10935
February 2015
Illinois
402
6281
March 2015
Illinois
156
8250
June 2015
Illinois
81
9000
July 2015
Illinois
80
10400
December 2015
Illinois
334
11482
Winter 2016
Illinois
556
10775
April 2016
Illinois
1560
1984
June 2016
Illinois
217
9700
August 2016
September 2016
September 2016
Illinois
153
10255
Illinois
160
9000
Illinois
75
10400
October 2016
Illinois
236
11100
October 2016
Illinois
40
10800
November 2016
Illinois
97
8750
November 2016
Illinois
217
9700
December 2016
Illinois
160
9000
December 2016
February 2017
February 2017
Illinois
8638
6403
Illinois
610
2925
Illinois
307
7053
March 2017
Illinois
1063
8982
March 2017
April 2017
April 2017
August 2017
September 2017
Illinois
195
10097
Illinois
161
8500
Illinois
1167
9443
Illinois
1167
9426
Illinois
320
8100
October 2017
Illinois
123
11745
December 2017
Illinois
155
10516
February 2018
Transcribed Image Text:State Size of Land in Acres Price per Acre in Dollars 13500 Date August 2013 August 2013 Illinois 152 Illinois 339 10738 Illinois 261 7600 November 2013 Illinois 338 13250 December 2013 Illinois 362 10737 December 2013 Illinois 73 15000 Winter 2014 Illinois 542 12786 Winter 2014 February 2014 February 2014 February 2014 Illinois 59 2750 Illinois 1431 11750 Illinois 80 10750 Illinois 542 12786 March 2014 Illinois 75 12100 March 2014 April 2014 May 2014 May 2014 Illinois 73 15000 Illinois 166 9009 Illinois 960 14583 Illinois Illinois 176 13920 June 2014 1553 5280 June 2014 July 2014 August 2014 August 2014 Illinois 144 12900 Illinois 540 13127 Illinois 87 12700 Illinois 1342 7086 October 2014 Illinois 132 9030 October 2014 Illinois 80 6400 November 2014 Illinois 765 5483 December 2014 Illinois 116 8534 Winter 2015 Illinois 294 10935 February 2015 Illinois 402 6281 March 2015 Illinois 156 8250 June 2015 Illinois 81 9000 July 2015 Illinois 80 10400 December 2015 Illinois 334 11482 Winter 2016 Illinois 556 10775 April 2016 Illinois 1560 1984 June 2016 Illinois 217 9700 August 2016 September 2016 September 2016 Illinois 153 10255 Illinois 160 9000 Illinois 75 10400 October 2016 Illinois 236 11100 October 2016 Illinois 40 10800 November 2016 Illinois 97 8750 November 2016 Illinois 217 9700 December 2016 Illinois 160 9000 December 2016 February 2017 February 2017 Illinois 8638 6403 Illinois 610 2925 Illinois 307 7053 March 2017 Illinois 1063 8982 March 2017 April 2017 April 2017 August 2017 September 2017 Illinois 195 10097 Illinois 161 8500 Illinois 1167 9443 Illinois 1167 9426 Illinois 320 8100 October 2017 Illinois 123 11745 December 2017 Illinois 155 10516 February 2018
Expert Solution
Step 1

To construct confidence interval for one of the quantitative variables.

Let us consider the confidence level to be 95%.

Consider the quantitative variable Size of land in acres

Sample size (n) = 53

Since, sample size is large enough (greater than 30), we use z-distribution.

Confidence interval for population mean μ is obtained using the formula:

C.I=x¯±zα/2sn

where, x¯ is the sample mean

            zα/2 is z-critical value at 1-0.952=0.052=0.025 significance level.

            s is the sample standard deviation.

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