sheet metal manufacturer is making 10-gauge eet metal, which is supposed to be 3.416 mm ick. One of the pieces of manufacturing equipment as suspected of malfunctioning and resulting in eet metal that is too thin (less than 3.416 mm). So e manufacturer selected a random sample of 100 eces of steel.measured the thickness of each ece, and calculated the mean thickness of the eel pieces in his sample. a. Which of the following is the Null Hypothesis Họ stated in words? Ho: The average steel thickness is different from 3.416 mm. The equipment is not making the sheet metal the correct thickness. Ho: The average steel thickness is less than 3.416 mm. The equipment is making the sheet metal too thin. Ho: The average steel thickness is 3.416 mm (or more). The equipment is working properly and not making the sheet metal too thin. )Ho: The average steel thickness is greater than 3.416 mm. The equipment is making the sheet metal too thick.

The data to the right represent the weights (in grams) of a random sample of 50 candies JLUre: 4 112%, 9 37 of 23 pts 0.85 0.85 0.87 0.86 Complete parts (a) through (f) 0.83 Question Heip O 0.82 0.78 0.78 0.83 0.85 0.84 0.85 0.83 0.94 0.77 0.83 0.93 0.96 0.72 0.99 0.75 0.86 0.82 0.77 0.84 0.83 0.71 0 93 0.77 0.72 0 82 0 89 0.88 0.94 087 081 075 0.76 0.82 0.79 0.87 (a) Determine the sample standard deviation weight. 0.82 0 84 087 0.91 0.92 0.73 0.86 0.82 0.89 gram(s) (Do not round until the final answer. Then round to three decimal places as needed.) 0:20 Enter your answer in the answer box and then click Check Answer Clear All 5 parts remaining 440 2021 P Type here to search 2021 OK F. F1 F2 K Es 7 8 96 #3 4. 2 A2 3\ 1 AI Yage (4 E Enter Tab G AShift S A M N aps Lock Del ns Alt

A homeowner recorded the speeds of cars driving past his house, where the speed limit 20 mph. The mean of 100 readings was 24.05 mph, with a standard deviation of 3.73 mph. (The homeowner actually recorded every car for a two-month period. These are 100 representative readings.) To see how. many cars are speeding, the homeowner subtracts 20 mph from all speeds. Complete parts a and b. ... a) What is the mean speed now? What is the new standard deviation? The new mean would be mph. The new standard deviation would be mph. (Type integers or decimals rounded to two decimal places as needed.) b) The homeowner's friend lives in another region and wants to study the speeds, so the homeowner converts all the original miles-per-hour readings to kilometers per hour by multiplying all speeds by 1.609 (km per mile). What is the mean now? What is the new standard deviation? The mean speed is kph. The standard deviation is kph. (Type integers or decimals rounded to two decimal places as needed.)

Given the data as in Table 2. x y 2 2.757 Table 2 3 7 9 12 3.279 6.009 9.751 12.906 15 15.988 Use an appropriate interpolation technique to find interpolated value at x=5.

Dr. Johnson is interested in the difference in mean systolic blood pressure between groups. He performs analysis and finds a mean difference of 0.0005 mmHg in systolic blood pressure with a p value of 0.001. Dr. Johnson's findings are: a) statistically insignificant and practically significant  b) statistically significant and practically significant  c) statistically insignificant and practically insignificant  d) statistically significant but practically ins

Thomas wants to compare the mean concentration of carbon monoxide (CO) on residential versus commercial streets, since these differ in terms of car traffic. In each of three neighborhoods of Montréal (named A, B, and C below), he randomly chooses four locations for each type of street, for a total of 24 observations (2 street types x 3 neighborhoods x 4 locations). At each location, he measures CO concentration in the air over a period of 10 hours (8:00 AM-6:00 PM), and obtains the following data (in ppm/h). Question: Test whether or not the difference between residential and commercial streets in mean atmospheric CO concentration is the same among the three neighborhoods, and whether or not CO concentration in the air is the same, on average, for the two types of streets. Note that Neighborhood is considered a random block factor in the ANOVA. Use significant level= 0.05.

The weights in pounds of samples of three types offish (A, B, C) are recorded. Given that 14 fish areweighed (i.e. nT = 14), complete the ANOVA tableand conduct the appropriate NATDRC test. Weknow the p-value = 0.0004. Source df SS MS F (TR)   886.3     (E)   277.7   xxxx (Total)     xxxx xxxx

A group of students in experimental lab are wanting to see if the average psychology major at a university has the same level of psychological knowledge as the general population. They assess 31 psychology majors using an overall psychology assessment and calculate a mean score of 20.91 and a standard deviation of 1.63. They know the general population has a mean score on this test of 18.32. The students think that psychology majors will know more about psychology than the general population. Name the: 1) independent variable 2) scaling for independent variable 3) dependant variable 4) scaling for dependent variable Answer the following questions: 5) can random Selection be used, explain 6) can random assignment be used, explain 7) based on what you know what statistical test should the students use to examine their hypothesis? 8) why is that test most appropriate? 9) what are the assumptions of this test? 10) what is the Null and alternative hypothesis? 11) what is/are the…

a normal population has a mean of 28 and a standard deviation of 5. what proportion of the population is less than 23? A). 0.1587 B).0.7389 C).0.8413 D).1.0000

In a fabric manufacturing factory, the quality control process using control charts from SPC. In an hour there are a total of 5 samples are taken each having 5 observations regarding the thickness of fabric in measured in millimeters. In a particular hour, the sample means (X-bar) are noted to be: 172.11,219.58, 208.24, 112.44, and 123.30 respectively. In the same sample, the corresponding ranges are: 13.17,13.38, 15.34, 13.04, and 13.02 respectively What are the lower and upper control limits for the R chart? O a. 0,29.17 Ob. None is correct Oc 0,28.67 O d. 0,29.67 O e. 0,31.47 Of. 0,30.98