1. a) Suppose average monthly sales for retail locations across the United States are approximately normally distributed with variance σ^2= 5200. We took a sample of size 50 and found ̄x= 12018,  Using this, conduct a hypothesis test with α= 0.05 to test the null hypothesis that the mean is 12000 vs. the alternative hypothesis that it is not. For full credit, state the null and alternative hypothesis, the test statistic, the rejection region, and your conclusion.

b)Using the setup from part a, if we know that the true mean is 12030, what is the probability of a type II error?

c)Using the setup from part a, what would be the p-value of this test? Would you reject the null hypothesis if α= 0.01? How about if α= 0.1

d)Using the set up from part a, perform the hypothesis test again, but now use the alternative hypothesis that the mean is actually greater than 12000.

e)Using the setup from part a, if we know the true mean is 12030 and we want the probability of a type I error to be 0.05 and the probability of a type II error

to be 0.10, what is the minimum sample size required to ensure this?

1. a) Suppose average monthly sales for retail locations across the United States are approximately normally distributed with variance σ^2= 5200. We took a sample of size 50 and found ̄x= 12018,  Using this, conduct a hypothesis test with α= 0.05 to test the null hypothesis that the mean is 12000 vs. the alternative hypothesis that it is not. For full credit, state the null and alternative hypothesis, the test statistic, the rejection region, and your conclusion.

b)Using the setup from part a, if we know that the true mean is 12030, what is the probability of a type II error?

c)Using the setup from part a, what would be the p-value of this test? Would you reject the null hypothesis if α= 0.01? How about if α= 0.1

d)Using the set up from part a, perform the hypothesis test again, but now use the alternative hypothesis that the mean is actually greater than 12000.

e)Using the setup from part a, if we know the true mean is 12030 and we want the probability of a type I error to be 0.05 and the probability of a type II error

to be 0.10, what is the minimum sample size required to ensure this?

An industrial company claims that the mean pH level of the water in nearby river is 6.8. A water sample of n = 9, when tested, yields a sample mean pH level of 6.7. If the distribution of pH level of water is normally distributed with a standard deviation σ = 0.24. Is there enough evidence to support the company’s claim at a significance level α = 0.05? Conduct a two-tailed test. (5 points) State your approach (either the p-value or critical value approach): Step 1. State the null and alternative hypotheses. Step 2. Select the distribution to use. Step 3. Calculate the p-value. Step 4. Make a decision, and state your conclusion with statistical evidence.

Stratified squamous epithelium, keratinized (depicts a section of skin, the same structure seen on your slide)

a. What is keratin? What properties are endowed to a tissue by abundant presence of keratin?

b. Describe the apparent shape of cells at the apical surface of the epithelium and the apparent shape of cells at the basal surface of the epithelium.

1. The example of stratified squamous epithelium (keratinized) you have is from skin. Why is this tissue well suited for this location?

2. Where in the tissue does the bulk of the keratin seem to be located?

3. If in your slide you could see skin cells undergoing mitosis, where in the epithelium would these cells be found? Why sorts of cells would be dividing? Why is cell proliferation important in this tissue?

4. Which of the other epithelia you have looked at would be likely to include cells comparable to those suggested in above? How might you recognize such cells if they happen to be present in a thin section you are examining?

Consider the data below of inches of rainfall per month for three different regions in the Northwestern United States: Plains Mountains Forest

Plains                   Mountains          Forest

March                  14.8                      12.6                      11.0

April                     21.4                      13.0                      9.7

May                      17.1                      18.1                      16.5

June                     18.9                      15.7                      18.1

July                       17.3                      11.3                      13.0

August                 16.5 14.0                      15.4

September 16.9 16.7 14.2

Using SPSS, perform a two-sample t-test to test the hypothesis that there is not the same amount of rainfall in both the Mountains and the Forest regions in the Northwestern United States with a significance level of 0.02. You do not need to test Normality first. In the output, the first test in the table (Levene’s Test for Equality of Variances), concerns whether the variances of the populations are equal (the null hypothesis) or not (the alternative hypothesis); we are assuming unequal variances in this course, so use the second row. If parts of your table do not export, you can copy and paste it to preserve the test statistic and significance from SPSS, or transcribe both of them (and include what does export from the SPSS output). You should include the hypotheses of your test, what the P-value is from the output, and your conclusion about the hypotheses. What are the degrees of freedom of your test statistic (using the formula from the book)? Then, using SPSS, perform an ANOVA test for the hypothesis that there is not the same amount of rainfall in every region in the Northwestern United States with a significance level of 0.03. You should include the hypotheses of your test, what the P-value is from the output, and your conclusion about the hypotheses. What are the two degrees of freedom of your test statistic? Please attach your Word file and, in a written analysis, give your answers and explain your conclusions by Sunday, July 26th at midnight Eastern Time

Explain the cold tip compensation in thermocouples. Find any data collection hardware / card that offers a solution to this problem and a sign conditioner compatible with this card and write the brand / model and solution in detail. Choose equipment that can be connected to several different types of thermocouples. Please be legible. Thanks.

Choose the safer one of each matches and explain in detail why
⦁   runny poached egg or hard-boiled egg

⦁   boiled potatoes or french fries

⦁   ground meat or slice of meat

⦁   dried eggplant or fried eggplant

⦁   cold chicken sandwich or fried chicken salad

⦁   yoghurt or milk

Explain all sensors and actuators of following robots in detail.

• IRB 14000 Dual-arm YuMi

• IRB 660

• IRB 910SC SCARA

• KR QUANTEC extra

• festo octopusgripper

• NASA PUFFER

• piaggio gita cargo bot

• honda E2-DR

• KR 3 AGILUS

true or false-

1. Goods purchased, shipped FOB shipping point, and in transit should be included in the purchasers year end inventory.

2. In a period of changing prices, the consistency principle prohibits a company from changing to a more favorable inventory cost method.

Explain reason in detail.