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Resting heart rate is the number of times your heart beats per minute when it is at rest and the best time to measure your
Resting heart rate is the number of times your heart beats per minute when it is at rest and the best time to measure your resting heart rate is in the morning after a good night's sleep but before you get out of bed. What is considered a normal resting heart rate depends upon your age and activity level, but generally a resting heart rate of 60 100 beats per minute (BPM) is considered to be a normal range for a healthy adult. After sitting half-way through an introductory statistics class session, a group of students measured their heart rates. This group of students is considered to be representative of students attending the same college. We will investigate whether introductory students at this college have heart rates in the normal adult range and because sitting in class is not exactly resting, let's posit that 80 BPM is a reasonable resting pulse rate to expect. A one-sample t test will be used on a subset of the data to determine whether introductory statistics students at this college have an average heart rate of 80 BPM after sitting halfway through class. Use a significance level of a = 0.05. The first ve rows of the data look like this. Import the dataset into SALT for analyzing. IE USE SALT After you have clicked the tab for your selected topic and read the problem, answer the questions below. (3) Use SALT to summarize the data and fill in the following table, rounding values to four decimal places as needed. .1 68.4503 I 11.4964 .1 (b) We need to verify the assumptions for using the one-sample t test before analyzing this dataset. First the observations in the sample must be randomly selected from the population or the sample should be selected in such a way that the sample is representative of the population. Based on what is known about how this sample was collected, the first assumption .' met. Second, the sample size generally should be 30 or larger. Based on the sample size, the second assumption .' met. (c) Write the hypotheses below. (Enter 1: for at as needed.) (d) Use SALT to perform the One Sample 1.\" test. Enter the requested values below. Round your standard error to three decimal places and your test statistic to two decimal places. Standard Error: Test Statistic: HHH Degrees of Freedom: P-value: less than 0.05 v y (d) Use SALT to perform the One Sample t test. Enter the requested values below. Round your standard error to three decimal places and your test statistic to two decimal places. Standard Error: :| Test Statistic: :| Degrees of Freedom: :| P-value: less than 0.05 v v (e) Comparing the P-value with the significance level of 0.05, the P-value is 4 the significance level. The decision is to I the null hypothesis. Based on the sample data, there El q convincing evidence that our sample's mean differs from our hypothesized population mean by more than what could have resulted from sampling error alone. r; (you cannot come back)
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