give examples of descriptive and inferential statistics in healthcare

We want to examine the effects of three different diet plans on later weight loss. Three different conditions were created:

Diet A - 5,6,7,4,2

Diet B, 10,6,9,8,5

and No Diet, 2,4,5,3,6

and each condition has 5 subjects.

After two weeks on the diet plan, participants’ weight loss was measured.

Is there a difference in the effectiveness of these diet plans?

8. What is your ?????ℎ???  - ?????ℎ?? = ?????ℎ?? ?????ℎ?? =

9. What is your Fobs?

Fobs = ????????? ?????ℎ?? =

10. Do you reject or fail to reject your null hypothesis? Explain your decision.

11. What is your effect size?

η 2 = ??? ??? =

12. On average, what value is expected for the F-ratio if the null hypothesis is true?

13. An ANOVA is used to evaluate the mean differences among three treatment conditions with a sample of n = 12 participants in each treatment. For this study, what is df total? –

a. 0

b. 1.00

c. Between 0 and 1.00

d. Much greater than 1.00 a. 2 c. 33 b. 11 d. 35

The proportion of drivers who use seat belts depends on things like age, sex, and ethnicity. As part of a broader study, investigators observed a random sample of 123 female Hispanic drivers in Boston. 68 of those in the sample were observed wearing a seat belt. Find the 95% confidence interval (±0.0001) for the proportion of all female Hispanic drivers in the Boston area who wear seat belts. The 95% confidence interval is from _ to _

name and draw two diagnostic plots used to evaluate linear regression and how they would look if all model assumptions are met.

A new product will sell for $8. The company expects to sell around 900,000 units. (Use a normal distribution with a mean of 900,000 and a standard deviation of 300,000.) Fixed costs are normally distributed with a mean of $700,000 and a standard deviation of $50,000. Unit variable costs are also normally distributed with a mean of $3 and a standard deviation of $0.25. Selling expenses are lognormally distributed with a mean of $900,000 and a standard deviation of $50,000.

a. What is the expected value of profit for this product?

b. What is the probability that profit will exceed $3 million?

The null and alternate hypotheses are: H0: μ1 ≤ μ2 H1: μ1 > μ2 A random sample of 23 items from the first population showed a mean of 107 and a standard deviation of 12. A sample of 15 items for the second population showed a mean of 102 and a standard deviation of 5. Use the 0.025 significant level. Find the degrees of freedom for unequal variance test. (Round down your answer to the nearest whole number.) State the decision rule for 0.025 significance level. (Round your answer to 3 decimal places.) Compute the value of the test statistic. (Round your answer to 3 decimal places.) What is your decision regarding the null hypothesis? Use the 0.03 significance level.

4. To study whether movie ratings and release season influence the box office earnings, you gather data on 70 recent movies. You characterize each movie’s rating (G, PG, PG-13, R, or NC-17) and release season (summer or not summer).
   1. Complete the ANOVA table below by filling in the shaded boxes
   2. Find the appropriate critical value(s) [?=0.05]
   3. Does box office revenue significantly vary with rating, release season, or their interaction? Clearly answer for each

   4. 	SS	df	MS	F
      Rating	455
      Season	192.5
      Interaction	140

Consider the following game: Three cards are labeled $1, $4, and $7. A player pays a $9 entry fee, selects 2 cards at random without replacement, and then receives the sum of the winnings indicated on the 2 cards.

a) Calculate the expected value and standard deviation of the random variable "net winnings" (that is, winnings minus a $9 entry fee)

b) Suppose a 4th card, labelled k, is added to the game but the player still selects two cards without replacement. What is the value of k which makes the game fair (i.e makes expected net winnings = $0)

1. Calculate the test statistic to compare the variance in poverty rates for rural counties to that of urban cities in 2016.

2. Calculate the p-value of the test statistic to compare the variance in poverty rates for rural counties to that of urban counties in 2016.

These are two questions I have for my homework, I have an excel sheet to work with and I just need to know the operations to derive these calculations. Also, is the F-Statistic the test statistic?

To study the effectiveness of possible treatments for insomnia, a sleep researcher
conducted a study with 12 participants. Four participants were instructed to count
sheep (the Sheep Condition), four were told to concentrate on their breathing (the
Breathing Condition), and four were not given any special instructions. Over the next
few days, measures were taken how long it took each participant to fall asleep. The
average times for the participants in the Sheep Condition were 14, 28, 27, and 31; for
those in the Breathing Condition, 25, 22, 17, and 14; and for those in the control
condition, 45, 33, 30, and 41. Do these results suggest that the different techniques have
different effects? Answer the question by conducting a hypothesis test at the 0.05
significant level.
Use the five steps of hypothesis testing and demonstrate your calculations.

Please demonstrate all calculations in detail in your answers including how you found the standard deviations. Thanks.

Suppose you are rolling two independent fair dice. You may have one of the following outcomes

(1,1) (1,2) (1,3) (1,4) (1,5) (1,6)

(2,1) (2,2) (2,3) (2,4) (2,5) (2,6)

(3,1) (3,2) (3,3) (3,4) (3,5) (3,6)

(4,1) (4,2) (4,2) (4,4) (4,5)  (4,6)

(5,1) (5,2) (5,3) (5,4) (5,5)  (5,6)

(6,1) (6,2) (6,3) (6,4) (6,5) (6,6)

Now define a random variable Y = the absolute value of the difference of the two numbers
a. Complete the following pmf of Y with necessary calculations and reasoning.

b. Find the mgf of Y

c. Now further consider another random variable X = the sum of the two numbers. Do you think X and Y are independent? Briefly explain your reasons

A particular meat-processing plant slaughters steers and cuts and wraps the beef for its customers. Suppose a complaint has been filed with the Food and Drug Administration (FDA) against the processing plant. The complaint alleges that the consumer does not get all the beef from the steer he purchases. In particular, one consumer purchased a cut and wrapped beef. To settle the complaint, the FDA collected data on the live weights and dressed weights of nine steers processed by a reputable meat processing plant (not the firm in question). The results are listed in the table.

a. Fit the model E(y)= β₀ + β₁x to the data

b. Construct a 95% prediction interval for the dressed weight y of a 300-pound steer.

c. Would you recommend that the FDA use the interval obtained in part b to determine whether the dressed weight of 150 pounds is a reasonable amount to receive from a 300-pound steer? Explain.

A researcher claims that the mean age of the residents of a small town is more than 32 years. The ages (in years) of a random sample of 36 residents are listed below. At α=0.10, α = 0.10 , alpha equals , 0.10 , comma is there enough evidence to support the researcher's claim? Assume the population standard deviation is 9 years. 41,33,47,31,26,39,19,25,23,31,39,36,41,28,33,41,44,40,30,29,46,42,53,21,29,43,46,39,35,33,42,35,43,35,24,21

Crossett Trucking Company claims that the mean weight of its delivery trucks when they are fully loaded is 5,850 pounds and the standard deviation is 280 pounds. Assume that the population follows the normal distribution. Fifty trucks are randomly selected and weighed.

Within what limits will 95 percent of the sample means occur?

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Question: Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using t...

Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ actress/actor ages in various​ years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 27 years. Is the result within 5 years of the actual Best Actor​ winner, whose age was 45 ​years?

Best Actress: 27, 31, 29, 59, 34, 32, 44, 28, 65, 21, 45, 54

Best Actor: 45, 39, 40, 43, 52, 50, 59, 52, 41, 56, 44, 33

a. Find the equation of the regression line.

b. The best predicted age of the best actor winner given that the age of the best actress winner that is 27 years is ___years old.