• Home
  • Blog
  • UMBC Confidence Intervals for Quantitative Variables Exercise

UMBC Confidence Intervals for Quantitative Variables Exercise

0 comments

Calculate confidence intervals for the quantitative variables

Heart rate data for male and female. At rest. Use data analysis tool in Excel to construct 95% and 99% for 8 categories

Heart rate before and after exerciseM=0 F=1RestingAfter Exercise085.987.5067.779.4080.393.4085.297.7086.399.7076.683.7094.4101.9086.4100.6083.497.4089.897.4088.797.1078.487.2071.379.9092.6104.7086.295.9083.993.9078.190.1064.070.7072.886.7072.781.2080.283.3078.286.0070.690.2075.584.4082.794.2087.795.1080.088.7073.482.7089.594.6077.684.6076.686.4085.696.2074.282.1079.091.6074.686.7088.898.8082.185.6077.680.6077.983.8088.193.9081.690.3091.2100.6080.388.0076.791.8088.4103.0075.286.5075.284.9073.171.9077.084.7059.068.2084.996.0087.5105.9075.684.3084.090.4078.294.0086.690.6084.995.1078.890.4069.482.6078.391.1076.992.3084.287.9076.385.9086.399.7072.380.9081.893.8092.899.8074.890.2091.799.2071.087.0096.1100.2082.595.1081.997.5089.794.8081.4100.9074.894.0088.1102.1069.281.4078.890.9085.394.2074.881.3077.789.9078.089.8080.595.3075.484.8081.584.2073.985.2069.474.1089.496.7070.982.0082.990.2089.6106.7074.575.6092.3102.2087.798.0078.989.7079.881.5085.597.4087.394.1077.897.8071.080.1082.590.7074.883.7069.279.4080.587.4089.499.2074.588.0085.592.0176.688.2179.290.4180.6101.3175.593.1183.990.5173.989.1176.890.8185.293.5182.193.5176.387.0197.0104.5181.586.5165.386.3180.886.7178.589.9186.397.6189.892.9187.898.5176.289.9174.288.8167.478.8175.580.2180.090.2176.488.0194.995.7189.296.9183.387.7185.890.4175.384.1177.999.0170.083.0188.094.2186.995.0187.195.9179.382.7181.290.7182.991.9187.4103.6183.090.0176.883.3176.987.7179.888.2183.293.0179.588.6182.489.3180.884.2183.294.5171.681.5182.893.1176.892.8193.2100.4191.4100.9197.3103.3188.390.1180.685.2187.491.7196.599.3177.991.6176.184.1185.289.7168.672.8179.492.0185.299.2174.385.6174.389.2178.598.5180.490.8182.985.9178.990.7178.687.0187.593.9178.991.4180.089.1180.489.2188.393.5180.695.9185.890.5184.693.0180.591.8192.4101.2184.496.7182.386.9177.285.8183.382.1186.298.9181.397.7190.296.4178.485.5184.7101.6189.794.3178.488.0179.988.5

(S) Zakhai73:

Include

Heart rate data provided

Thank you very much

(T) Asirieng:

Final Answer

Okay great!

(S) Zakhai73:

Include

  1. Make sure the data is sorted by category (e.g.male-at-rest, female at-rest, etc.)
  2. Use the Data Analysis tools of Excel to construct 95% and 99% confidence intervals for all 8 categories of the sorted quantitative variables. Excel will calculate the margin of error given as the “confidence interval” in the output. Use this margin of error to create your 8 confidence intervals by both adding and subtracting it from the sample mean (calculated in unit 3). This creates a range of values that is the confidence interval.
  3. Create a Word document, and use your calculated results to explain what the confidence intervals tell us. What do these confidence intervals tell us about our heart rate data? How would you interpret the 95% and 99% intervals for resting heart rate?
  4. Compare the 99% and 95% intervals and explain why one is larger than the other even though we use the same sample mean value.

Additional Instructions:

Your assignment should be typed into a Word or other word processing document, formatted in APA style. The assignments must include

  • Running head
  • A title page with  

About the Author

Follow me


{"email":"Email address invalid","url":"Website address invalid","required":"Required field missing"}