Day Highest Temperature Lowest Temperature Thursday 07/07 24 Degree 14 Degree Friday 08/07 27 Degree 15 Degree Saturday 09/07 25 Degree 15 Degree Sunday 10/07 27 Degree 16 Degree Monday 11/07 29 Degree 16 Degree Tuesday 12/07 31 Degree 17 Degree Wednesday 13/07 29 Degree 15 Degree Thursday 14/07 28 Degree 16 Degree Friday 15/07 28 Degree 17 Degree Saturday 16/07 29 Degree 18 Degree According the table above - Calculate and discuss the followings. Please provide the steps for the calculation and highlight the final value. Range Standard Deviation
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|
Day |
Highest Temperature |
Lowest Temperature |
|
Thursday 07/07 |
24 Degree |
14 Degree |
|
Friday 08/07 |
27 Degree |
15 Degree |
|
Saturday 09/07 |
25 Degree |
15 Degree |
|
Sunday 10/07 |
27 Degree |
16 Degree |
|
Monday 11/07 |
29 Degree |
16 Degree |
|
Tuesday 12/07 |
31 Degree |
17 Degree |
|
Wednesday 13/07 |
29 Degree |
15 Degree |
|
Thursday 14/07 |
28 Degree |
16 Degree |
|
Friday 15/07 |
28 Degree |
17 Degree |
|
Saturday 16/07 |
29 Degree |
18 Degree |
According the table above -
Calculate and discuss the followings. Please provide the steps for the calculation and highlight the final value.
Range - Standard Deviation
Step by step
Solved in 3 steps
- Average Water Temp Manatee Deaths 72.0 35 71.9 38 71.7 42 71.7 49 71.6 53 71.5 54 71.4 60 71.0 67 71.2 68 71.2 69 71.1 73 71.0 73 70.9 73 70.9 78 70.8 79 70.7 81 70.6 81 70.6 82 70.5 83 70.5 88 70.4 90 69.9 92 69.8 95 69.5 97 A researcher is interested to see if there is an association between average water temperature and manatee deaths in sub-tropical regions, and decides to test for linear correlation at the 0.01 significance level. The researcher takes a random sample of subtropical regions and measures their number of manatee deaths and average water temperature. The table above gives the paired data for 24 randomly selected subtropical regions. Do a scatterplot of average water temperature and manatee deaths for this random sample of sub-tropical regions and report your impression of whether or not there seems to…31 Data: Red Blue Brown Green Yellow0.744 0.844 0.918 0.942 0.8680.813 0.726 0.743 0.798 0.7240.997 0.717 0.818 0.727 0.7540.927 0.882 0.994 0.842 0.9510.825 0.969 0.997 0.828 0.771 0.993 0.918 0.854 0.999 0.786 0.963 0.972 0.872 0.904 0.752The safety director of a large steel mill took samples at random from company records of minor work-related accidents and classified them according to the time the accident took place. Time Number of Accidents Time Number of Accidents 8 up to 9 a.m. 10 1 up to 2 p.m. 11 9 up to 10 a.m. 9 2 up to 3 p.m. 12 10 up to 11 a.m. 12 3 up to 4 p.m. 7 11 up to 12 p.m. 6 4 up to 5 p.m. 11 Click here for the Excel Data File Using the goodness-of-fit test and the 0.10 level of significance, determine whether the accidents are evenly distributed throughout the day. H0: The accidents are evenly distributed throughout the day.H1: The accidents are not evenly distributed throughout the day. a. State the decision rule, using the 0.10 significance level. (Round your answer to 3 decimal places.) b. Compute the value of chi-square. (Round your answer to 3 decimal places.) c. What is your decision regarding H0?
- The tar content in samples of cigar tobacco follows: 1.542 1.585 1.532 1.466 1.499 1.611 1.622 1.466 1.546 1.494 1.548 1.626 1.44 1.608 1.52 1.478 1.542 1.511 1.459 1.533 1.532 1.523 1.397 1.487 1.598 1.498 1.6 1.504 1.545 1.558 1.555 1.712 1.442 1.443 1.699 1.701 1.698 1.654 1.432 1.441 1.598 1.705 Find a 99% CI on the mean tar content. Choose 2 answers from the choices below for the values of upper and lower limits. Do not round off the values until you got the final answers.Suppose the price per share of stock for a sample of 25 companies was recorded at the beginning of the first financial quarter and then again at the end of the first financial quarter. How stocks perform during the first financial quarter is an indicator of what is ahead for the stock market and the economy. Company End of 1st quarter Beginning of 1st quarter Company 1 54.69 55.32 Company 2 56.20 78.52 Company 3 103.07 110.50 Company 4 80.45 85.08 Company 5 126.51 140.73 Company 6 133.23 137.28 Company 7 32.56 42.57 Company 8 51.41 54.54 Company 9 35.90 37.94 Company 10 14.55 19.48 Company 11 33.04 40.04 Company 12 45.33 40.36 Company 13 185.13 189.53 Company 14 109.28 109.45 Company 15 72.46 92.15 Company 16 49.32 55.03 Company 17 36.70 43.73 Company 18 79.57 86.18 Company 19 95.50 87.45 Company 20 43.09 47.09 Company 21 51.32 66.70 Company 22 77.45 86.53 Company 23 46.77 45.99 Company 24 46.45 48.13 Company 25 130.36 129.08 (a)…The tar content in samples of cigar tobacco follows:1.542 1.585 1.532 1.466 1.499 1.6111.622 1.466 1.546 1.494 1.548 1.6261.44 1.608 1.52 1.478 1.542 1.5111.459 1.533 1.532 1.523 1.397 1.4871.598 1.498 1.6 1.504 1.545 1.5581.555 1.712 1.442 1.443 1.699 1.7011.698 1.88 1.11 1.21 1.987 1.39Find the 99% CI on the mean tar content.
- An auditor detects that a firm is regularly overstating the amounts of inventories because of delays in recording withdrawals. He takes a random sample of 20 inventories and finds that they are overstated by the following amounts (in pounds sterling) 10 12 9 28 6 20 26 24 12 22 5 14 11 23 9 21 29 13 16 24 An auditor detects that a firm is regularly overstating the amounts of inventories because of delays in recording withdrawals. He takes a random sample of 20 inventories and finds that they are overstated by the following amounts (in pounds sterling). 10 12 9 28 6 20 26 24 12 22 5 14 11 23 9 21 29 13 16 24 (a) Make a relative frequency table of the data using groups 5−9, 10−14, . . . technically, such groups are known as bins. (b) Draw a frequency histogram of the data. (c) Describe the shape of the distribution of the data, commenting on any interesting features. (d) Calculate the sample mean and the sample median, and compare these two values. Which of these two…Restaurant X Restaurant Y89 101121 125116 153143 117270 171183 134122 114151 122158 127210 129335 137305 140181 227116 216161 291152 12595 95238 136243 242189 146155 148196 201168 149123 14262 141198 143182 154117 139139 169169 138185 244198 234236 248192 237352 234304 165213 85192 110183 58184 172107 79143 147175 138157 99173 131155 150170 127127 185136 145306 132 Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 95% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner; then do the same for Restaurant Y. Compare the results. Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant X.The 2006 Statistical Abstract of the United States reports on a survey that asked a national sample of 80,000 American households about pet ownership. Suppose (for now) that one-third of all American households own a pet cat. Still supposing that one-third of all American households own a pet cat, between what two values do you expect 95% of all sample proportions to fall?
- 3. As the director of the local Boys Club, you have claimed for years that membership in your club reduces juvenile delinquency. Now a cynical member of your funding agency has demanded proof of your claim. Random samples of members and non-members are gathered and interviewed with respect to their involvement in delinquent activities. Each respondent is asked to enumerate the number of delinquent acts they engaged in over the last year. The average numbers of admitted acts of delinquency are reported below. What can you tell the funding agency? MEMBERS NON-MEMBERSmean=10.3 mean=12.3s=2.7 s=4.2N=50 N=55John Jones a statistician for the US Census Bureau. He has been assigned the task of determining whether the proportion of female births in California is larger than the proportion of female births in New York. Mr. Jones analyzed a random sample of 500 hospital birth records for the past 10 years In California (Sample C) similarly, he analyzed a random sample of 400 hospital birth records for the past 10 year period In New York ( Sample N) he only looked at births that produced One baby, that is, he disregarded twins, triplets, and other multiple births. Assume all checks have been verified Only answer the second questionJohn Jones a statistician for the US Census Bureau. He has been assigned the task of determining whether the proportion of female births in California is larger than the proportion of female births in New York. Mr. Jones analyzed a random sample of 500 hospital birth records for the past 10 years In California (Sample C) similarly, he analyzed a random sample of 400 hospital birth records for the past 10 year period In New York ( Sample N) he only looked at births that produced One baby, that is, he disregarded twins, triplets, and other multiple births. Assume all checks have been verified