rength of concrete: The compressive strength, in kilopascals, was measured for concrete blocks from five different batches of concrete, both three and sixdays after pouring. The data are as follows. Can you conclude that the mean strength after three days differs from the mean strength after six days? Let H,represent the mean strength after three days and P =H, -P. Use the a=0.01 level and the P-value method with the TI-84 Plus calculator.Block14After 3 days13171363132113331311After 6 days13821341132713421386Send data to ExcelPart 1 of 4(a) State the null and alternate hypotheses.H:This hypothesis test is a (Choose one) v test.Part 2 of 4(b) Compute the P-value. Round the answer to at least four decimal places.P-value =Part 3 of 4Determine whether to reject Ho.(Choose one) v the null hypothesis.Part 4 of 4(c) State a conclusion.There (Choose one) venough evidence to conclude that the mean strength after three days differs from the meanstrength after six days.

Given the data Block 1 2 3 4 5 After 3 days 1341 1316 1352 1355 1327 After 6…

Answered: days after pouring. The data are as…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 20 30 15 26 28 14 24 33 18 22 29 17
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 25 34 15 31 32 14 29 37 18 27 33 17 a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use a = 0.05. Sum of squares, treatment = Sum of squares, error = Mean squares, treatment = mean squares, error = Calculate the value of the test statistic (to 2 decimals). The P-value is: Less than 0.01, between 0.01 and 0.025, between 0.025 and 0.05, between 0.05 and 0.10, greater than 0.10 What is your conclusion? b. At the a = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3. What conclusion can you draw after carrying out this test?
Suppose you have access to a database with the variables listed below. Using the two variables BMI(the predictor) and diabetes(the outcome) Name two types of descriptive statistics you could report specifying the variables BMI and diabetes.
Use the Stata output below to answer the following question. The data used in this analysis is from a sample of airlines. The variables used are: fare-avg price of a one-way fare, in dollars dist- distance of the flight, in miles .reg fare ldist. Source Model Residual 551.391705 Total lfare SS ldist _cons 875.094374 df The OLS results suggest that 1 323.702668 120024315 4,594 MS Coef. Std. Err. 4,595 190444913 Number of obs F(1, 4594) Prob > F R-squared Adj R-squared Root MSE t P>|t| .4025646 .0077517 51.93 0.000 2.399834 .0521601 46.01 0.000 4,596 2696.98 0.0000 0.3699 0.3698 .34645 [95% Conf. Intervall .3873676 .4177617 2.297575 2.502093 a 1% increase in distance is associated with approximately a $.40 increase in the price of the fare. a 1% increase in distance is associated with approximately a .40% increase in the price of the fare. a 1% increase in distance is associated with approximately a 40 % increase in the price of the fare. None of the above.
What is the zscore for: data= 31 mean =39 Sx= 3.7 O 2.16 O -2.16 О 3.7 O -3.7
Make a creative interpretation for the given table below. Follow the proper guidelines in constructing your interpretation. Type only the answers here, please do not handwritten it.
I'm looking for help on the first 3 bullet points please.
Use the following data to answer the following questions. You can use excel or any app. as calculator.46 93 5630 39 4524 48 4560 55 4547 62 7063 72 6145 72 6574 48 6373 55 4872 55 44 1. The mean value is __________. a. 55.8833 b. 55.5500 c. 45 d. 55.8333 2. The median value is __________. a. 55.8833 b. 55.5 c. 55 d. 45 3. The mode is __________. a. 55.8833 b. 45 c. 55 d. 55.8333 4. The range is __________. a. 67 b. 68 c. 69 d. 70 5. The first quartile is __________. a. 43 b. 44 c. 40 d. 45
Please do c & d
i really need some help with this
Available below are amounts of arsenic in samples of brown rice from three different regions. The amounts are in micrograms of arsenic and all samples have the same serving size. Use a 0.05significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different regions? Given that the amounts of arsenic in the samples from region Ahave the highest mean, can we conclude that brown rice from region A poses the greatest health problem? Arsenic Amounts (micrograms) A 5.8 5.8 6.5 6.5 6.9 7.2 7.3 7.3 7.6 7.6 7.9 7.9 B 4.5 4.9 5.2 5.2 5.5 5.8 5.8 5.9 6.3 6.3 6.4 6.4 C 1.8 3.7 4.1 4.1 4.6 4.6 4.8 5.1 5.2 5.6 5.7 5.7 The Test statistic is: The P-value is: The conclusion is:
The amount of money earned in a day by Ms. Anne’s craft shop was recorded and displayed in the stem-and-leaf diagram shown below in Exhibit 1. Exhibit 1 Stem-and-leaf of Data: Amount of Money earned in a day in dollars Leaf Unit = 10 N = * 2 2595 323413 3 55779999 (**) 4 0001233 14 4 5569 *** 5 033445 5 7788 161 What is the median of the distribution? Use the stem-and-leaf diagram above to draw a box-and-whisker diagram. Comment on the skewness of the distribution.

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