%#3A famausNBA Player was a 38% accurcte 3-PoMt shooter (makes for hes coveerWhat es beast 5 aut of 10.3-POnt shots/ P=.38 bmomral Atleast 5 shots X5 %3D1-PCXL4 3D1-binomcdfC1038.4) - 3D,31768 38Y% cf the tme) he makes at s ty the probabtih X=number of accurate shots disıibution n=10, POZ5) 6823 30208 RETURN DENTA O1 NOILDO4OAMI Ot

%#3A famausNBA Player was a 38% accurcte 3-PoMt shooter (makes for hes coveerWhat es beast 5 aut of 10.3-POnt shots/ P=.38 bmomral Atleast 5 shots X5 %3D1-PCXL4 3D1-binomcdfC1038.4) - 3D,31768 38Y% cf the tme) he makes at s ty the probabtih X=number of accurate shots disıibution n=10, POZ5) 6823 30208 RETURN DENTA O1 NOILDO4OAMI Ot

Name: I asked this question earlier and whoever answered this did not explai
Uploaded: 2024-03-20T07:07:50.000Z
Channel: Bartleby
Description: I asked this question earlier and whoever answered this did not explain this well enough . I would like to know where the binomcdf(10, .38, 4) comes from and where the .6823130208 comes from %#3A famausNBA Player was a 38%accurcte 3-PoMt shooter (

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

See similar textbooks

Similar questions

In the Chernobyl nuclear accident it is estimated that 30,000 people received an average dose of 45 REM. For this population, using the linear hypothesis, how many "normal" deaths from cancer are expected and how many additional deaths from the radiation of the accident? Group of answer choices 500 normal, 6000 additional 1000 normal, 4000 additional 2000 normal, 3000 additional 4000 normal, 1000 additional 6000 normal, 500 additional
Toward the middle of the harvesting season, peaches for canning come in three types, early, late, and extra late, depending on the expected date of ripening. During a certain week, the data to the right were recorded at a fruit delivery station. Complete parts (a) through (d) below. 40 trucks went out carrying early peaches; 71 carried late peaches; 52 carried extra late peaches; 26 carried early and late; 32 carried late and extra late; 11 carried early and extra late; 6 carried all three; 5 carried only figs (no peaches at all). a) How many trucks carried only late variety peaches? trucks (Type a whole number.) (b) How many carried only extra late? trucks (Type a whole number.) (c) How many carried only one type of peach? trucks (Type a whole number.) (d)How many trucks (in all) went out during the week? trucks (Type a whole number.)
Toward the middle of the harvesting season, peaches for canning come in three types, early, late, and extra late, depending on the expected date of ripening. During a certain week, the data to the right were recorded at a fruit delivery station. Complete parts (a) through (d) below. 40 trucks went out carrying early peaches; 76 carried late peaches; 64 carried extra late peaches; 31 carried early and late; 34 carried late and extra late; 13 carried early and extra late; 6 carried all three; 8 carried only figs (no peaches at all). a. How many trucks carried only late variety peaches? b. How many carried only extra late? c. How many carried only one type of peach? d. How many trucks (in all) went out during the week? Thank you so much
Suppose that index model for Stocks A and B is estimated from excess returns with the following results : Ra 0.04 +0.6Rm+ea , Rb = - 0.04 + 1.3Rm + eb Risk on the market is 30% , R-squared of A is 30%R - squared of B is 40% , security A residual variance is
The shape of the mean-variance frontier that results from the combination of a riskless and arisky asset is…..:a. Is U-shaped, tilted 90 degrees clockwise.b. Is a straight line passing from the mean-variance points of the two assets.c. Is a hyperbola.d. Consists of two straight lines, each connecting one of the two assets to a risk-freeportfolio
Suppose your dependent variable is crime rates for various cities. To correct for heteroskedasticity you should Select one: a. multiply observations by the city size b. multiply observations by the square root of the city size c. none of these d. divide observations by the square root of the city size e. divide observations by the city size
The hourly wages of a sample of 130 system analysts are given belowmean=60mode=73median=74range=20variance=324The coefficient of variation equals...?
A researcher wants to examine the relationship between time spend on social media (variable X) and loneliness (variable Y) in young adults. A randomly sample of n = 52 young adults was asked how much time in average they spend on social media each day and how lonely day feel on a typical day. The partial computations of collected data produced the following results: SP = -14 MX = 10 SSx = 36 MY = 16 SSY = 49 A. Based on these results, is there a significant correlation between time spend on social media and loneliness among young adults? Use a Pearson correlation test with p < .05, 2-tails to answer this research question. Follow the steps of hypothesis testing and insert your answers below. In your calculations,round all numbers to two decimal places to avoid rounding errors. ANSWER H0: H1: Computed Pearson r = df for decision about H0: Critical r-value used for decision about H0: Decision about H0 (i.e., reject or fail to…
Marine biologists have noticed that the color of the outermost growth band on a clam tends to be related to the time of year in which the clam dies. A biologist conducted a small investigation of whether this is true for the species Protothaca staminea. She collected a sample of 50 clam shells in February and 27 clam shells in March. 15 of the shells from February had a dark color on the outermost growth band, whereas 8 of the shells from March had a dark color on the outermost growth band. Carry out a hypothesis test to see if there is a difference in the proportion of shells with a dark outermost growth band between the two months. The point estimate for the true difference in proportion of dark growth bands between February and March is:
Marine biologists have noticed that the color of the outermost growth band on a clam tends to be related to the time of year in which the clam dies. A biologist conducted a small investigation of whether this is true for the species Protothaca staminea. She collected a sample of 50 clam shells in February and 27 clam shells in March. 15 of the shells from February had a dark color on the outermost growth band, whereas 8 of the shells from March had a dark color on the outermost growth band. Carry out a hypothesis test to see if there is a difference in the proportion of shells with a dark outermost growth band between the two months. Let ? = 0.01. A) The point estimate for the true difference in proportion of dark growth bands between February and March is:
Marine biologists have noticed that the color of the outermost growth band on a clam tends to be related to the time of year in which the clam dies. A biologist conducted a small investigation of whether this is true for the species Protothaca staminea. She collected a sample of 50 clam shells in February and 27 clam shells in March. 15 of the shells from February had a dark color on the outermost growth band, whereas 8 of the shells from March had a dark color on the outermost growth band. Carry out a hypothesis test to see if there is a difference in the proportion of shells with a dark outermost growth band between the two months. Let ? = 0.01.Note: Do all calculations as February - March A) The point estimate for the true difference in proportion of dark growth bands between February and March is: I need help and webassign rejected the 0.0037 as the answer. I'm so lost. I emailed my professor and he hasn't gotten back to me. Please help. Thank you.
Explain why you would or wouldn’t agree with each of the following statements: (a) In the presence of autocorrelation, least-square estimate will be biased (b) If the pairwise correlations among predictors are all close to 0, then, there exists no collinearity; (c) If we center the predictors, VIF would change; (d) AIC can be used to select the models which are not nested with each other; (e) With the same data, the model selected by R-square is the same as the model selected by RMS; (f) For multinomial logistic regression with response variables with k categories, we need to model k logit equations; (g) Odds ratio is between 0 and 1.